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Yudong Zhang Professor

Academic Area: 
medical image processing
Research Interests: 
  • Deep learning
  • Computer vision
  • Machine learning
  • Artificial intelligence
  • Swarm intelligence

Employment History

Professor, Nanjing Normal University, China (06/2014-till now)

Lecturer, Nanjing Normal University, China (06/2013-06/2014)

Assistant Research Scientist, Columbia University & New York State Psychiatric Institute, USA (03/2012-03/2013)

Postdoc, Columbia University, USA (03/2010-03/2012)


Educational Background

Ph.D., Southeast University, China (03/2007-03/2010)

M.E., Nanjing University of Aeronautics and Astronautics, China (09/2004-03/2007)

B.S., Nanjing University of Aeronautics and Astronautics, China (09/2000-09/2004)


Visiting Position

Visiting Professor, National Institute of Technology Rourkela, India, Course Name: Computer Vision and Artificial Intelligence for Pathological Brain Detection in MR Imaging, Host Faculty: Prof Banshidhar Majhi (Oct/2017-Nov/2017)

Visiting Professor, Kyushu Institute of Technology, Japan, Host Faculty: Prof. Huimin Lu (Jan/2017-Feb/2017)


Adjunct Position

Henan Polytechnic University, China, Guest Professor, (March/2017-till now)


Research Projects:


PI, Henan Polytechnic University Start-up Funding (2017.7-2021.6)

PI, Young Talents Lifting Program in Jiangsu Province (2018.1-2019.12)

Co-PI, Key Algorithm Research on smart robot of pathological brain identification, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, No. MCCSE2017A05 (2017.4-2019.5)

PI, Researches on robust pathological brain detection for unbalanced magnetic resonance imaging data, National Science Foundation of China, No. 61602250, (01/2017-12/2019)

PI, Fingerprint identification technique based on Legendre wavelet transform and weighted k-nearest neighbors, Open Research Fund of Hunan Provincial Key Laboratory of Network Investigational Technology (01/2017-12/2018)

Co-PI, Advanced manufacturing technology research on smart Alzheimer’s disease diagnosis system. Open fund for Jiangsu Key Laboratory of Advanced Manufacturing Technology (01/2017-12/2018)


PI, Principles of Fast compressed sensing MRI based on feature selection and template matching, Natural Science Foundation of Jiangsu Province, (01/2016-12/2018)

PI, Key Techniques on Big data research for imaging data of Alzheimer’s disease, Open Fund of Key Laboratory of Statistical information technology and data mining, State Statistics Bureau (09/2016-12/2017)

PI, Researches of Key Mechanism on pathological brain automatic detection system, Open Project Program of Key laboratory of symbolic computation and knowledge engineering of ministry of education, Jilin University (01/2016-12/2017)

PI, Pathological brain automatic detection system based on dual-tree complex wavelet and radial basis function neural network, Open Project Program of the State Key Lab of CAD&CG, Zhejiang University, (01/2016-12/2017)

PI, Emerging big data technique research on abnormal brain radiomics, Open Fund of Fujian Provincial Key Laboratory of Data Intensive Computing (07/2016-06/2017)

Co-PI, Research on auxiliary diagnosis system of MRI based brain diseases, Program of Natural Science Research of Jiangsu Higher Education Institutions (07/2016-06/2018)

Co-PI, Public opinion analysis and recommendation system of forest public security based on data mining, Fundamental Research Funds for the Central Universities (01/2016-12/2017)

Co-PI, Application of 3D magnetic resonance image restoration in 3D printing, Open Program of Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, (2016.7-2017.6)


PI, Researches of brain diagnosis system manufacturing technology based on computer vision and artificial intelligence, Open Fund of Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology (09/2015-09/2016)

Co-PI, Research on electromagnetic theory and optimal design of consequent pole in-wheel motor, Program of Natural Science Research of Jiangsu Higher Education Institutions, (01/2015-12/2017)

PI, Prediction of achievements, ability, and behavior of students based on big five personality traits and support vector machine, Education Reform Grants of NJNU, (01/2015-12/2017)


PI, Nanjing Normal University 100 Young Talent Program, (01/2014-12/2018)

Co-PI, Research and Applications of Classifier-oriented Feature Extraction Technique, Nanjing Normal University Start-up Found, (01/2014-12/2016)


PI, Research on Accelerating and Reconstruction Methods of MRI, Nanjing Normal University Start-up Found, (01/2013-12/2016)

Co-PI, The exclusive and shared spectrum allocation model with efficient transmission system, National Natural Science Foundation of China (NSFC), (01/2013-12/2016)


Co-PI, Research on the compression theory and technology of modulation spectrum of ultra-narrow band, National Natural Science Foundation of China (NSFC), (01/2011-12/2013)


Co-Investigator, Impact of Prenatal and Early Childhood Environmental Tobacco Smoke Exposure on Brain Development, National Institutes of Health (NIH), (01/2010-12/2015)

Co-investigator, Children at High and Low Risk for Depression, National Institutes of Health (NIH), (01/2010-12/2015)


Co-PI, Asymmetric Binary Modulation Signal Enhancement, National Natural Science Foundation of China (NSFC), (01/2009-12/2011)

Co-PI, Study on the method of multimedia signal separation based on non-Shannon information measure, National Natural Science Foundation of China (NSFC), (01/2009-12/2011)


Co-PI, Spatial Environment Adaptive Anti-Interfering communication system, National High-tech R&D Program of China, (01/2008-12/2011)


PI, Application of Neural Network and Evolutionary Computation, Scientific Research Foundation of Graduate School of Southeast University, (01/2007-12/2010)

Co-PI, A Special Filter Mechanism and Realization of Effective Communication, Natural Science Foundation in Jiangsu Province, (01/2007-12/2009)

Co-Investigator, Radio Combination Location based on Digital Broadcast Television Signal, Key Projects in Science and Technology Innovation of Colleges and Universities, (01/2007-12/2008)




My publications have a citation of 5015 and h-index of 42 in Google scholar, a total citation of 2035 and h-index of 29 in Web of Science.


Articles, Reviews, Letters

  • Yudong Zhang, Jiquan Yang, Shuihua Wang, Zhengchao Dong, Ming Yang, 3D printing for coarctation of the aorta, Journal of the American College of Cardiology, 2016. 68(S16): C153 (IF:19.896)
  • Suzanne Goh, Zhengchao Dong, Yudong Zhang, Salvatore DiMauro, Bradley S. Peterson*, Mitochondrial dysfunction as a neurobiological subtype of autism spectrum disorder: evidence from brain imaging. JAMA Psychiatry, 2014, 71(6): 665-671 (IF: 15.307)
  • Yudong Zhang, Zhengchao Dong*, Shuihua Wang, Preetha Phillips, Genlin Ji, Prediction of Alzheimer’s disease and mild cognitive impairment based on structural volumetric MR images by 3D discrete wavelet transform and artificial neural network. Alzheimer’s & Dementia, 2015, 11(S7): 78-79 (IF: 9.478)
  • Yudong Zhang, Zhengchao Dong, Preetha Phillips, Shuihua Wang, Genlin Ji, Jiquan Yang, Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for Compressed Sensing Magnetic Resonance Imaging. Information Sciences, 2015, 322: 115-132 (IF: 4.832)
  • Yang Chen, Yudong Zhang, Jian Yang, Qing Cao, Guanyu Yang, Jian Chen, Huazhong Shu, Limin Luo, Jean-Louis Coatrieux, Qingjing Feng, Curve-like structure extraction using minimal path propagation with backtracking, IEEE Transactions on Image Processing. 2016, 25(2): 988-1003 (IF: 4.828)
  • Yudong Zhang*, Shuihua Wang, Preetha Phillips, Genlin Ji, Binary PSO with Mutation Operator for Feature Selection using Decision Tree applied to Spam Detection. Knowledge-Based Systems, 2014, 64: 22-31 (IF: 4.529)
  • Yudong Zhang, Zhengchao Dong, Ming Yang, Shuihua Wang, Preetha Phillips, Jiquan Yang. Automatic brain tumor detection in MRI Scanning by wavelet entropy, Journal of the American Geriatrics Society, 2016, 64(S2): S349 (IF: 4.388)
  • Shuihua Wang, Xiaojun Yang, Sidan Du, Na Li, Carlo Cattani, Zhengchao Dong, Yudong Zhang, 3D ceramics printing applied in synthetic bone grafting could help seniors suffering from osteoporosis, Journal of the American Geriatrics Society, 2016, 64 (S2): S365 (IF: 4.388)
  • Yudong Zhang, Bo Peng, Shuihua Wang, Yu-Xiang Liang, Jiquan Yang, KwokFai So*, Ti-Fei Yuan*, Image processing methods to elucidate spatial characteristics of retinal microglia after optic nerve transection. Scientific Reports, 2016, 6:21816 (IF: 4.259)
  • Shuihua Wang, Zhihai Lu, Jiquan Yang, Yudong Zhang*, John Liu, Ling Wei, Shufang Chen, Preetha Phillips, Zhengchao Dong, Fractional Fourier entropy increases the recognition rate of fruit type detection. BMC Plant Biology. 2016, 16 (S2), Article ID: 10 (IF: 3.964)
  • Yudong Zhang*, Zhengchao Dong, Lenan Wu, Shuihua Wang, A hybrid method for MRI brain image classification, Expert Systems with Applications, 2011, 38(8): 10049-10053 (IF: 3.928)
  • Yudong Zhang*, Jun Yan, Geng Wei, Lenan Wu, Find multi-objective paths in stochastic networks via chaotic immune PSO, Expert Systems with Applications, 2010, 37(3): 1911-1919 (IF: 3.928)
  • Yudong Zhang*, Lenan Wu, Stock Market Prediction of S&P 500 via combination of improved BCO approach and BP neural network, Expert systems with applications. 2009, 36(5): 8849-8854 (IF: 3.928)
  • Shuihua Wang, Yudong Zhang*, Ge Liu, Preetha Phillips, Ti-Fei Yuan*, Detection of Alzheimer’s disease by Three Dimensional Displacement Field Estimation in Structural Magnetic Resonance Imaging, Journal of Alzheimer’s Disease. 2016, 50(1): 233-248 (IF: 3.731)
  • Yudong Zhang*, Shuihua Wang*, Preetha Phillips, Jiquan Yang, Ti-Fei Yuan*, Three-dimensional eigenbrain for the detection of subjects and brain regions related with Alzheimer’s disease, Journal of Alzheimer’s Disease, 2016, 50(4): 1163-1179 (IF: 3.731)
  • Yudong Zhang, Shuihua Wang*, Yuxiu Sui, Ming Yang, Bin Liu, Hong Cheng, Junding Sun, Wenjuan Jia, Preetha Phillips, Juan Manuel Gorriz*, Multivariate approach for Alzheimer’s disease detection using stationary wavelet entropy and predator-prey particle swarm optimization, Journal of Alzheimer’s Disease, 2017, doi: 10.3233/JAD-170069 (Accept, IF: 3.731)
  • Yang Chen, Yudong Zhang, Jian Yang, Huazhong Shu, Limin Luo, Coatrieux Jean-Louis, Qianjing Feng, Structure-adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression. IEEE Transactions on Circuits and Systems for Video Technology, 2016, doi: 10.1109/TCSVT.2016.2615444 (IF: 3.599)
  • Yudong Zhang, Arunprasath Thiyagarajan, An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images. Applied Soft Computing, 2017, 57: 399-426 (IF: 3.541)
  • Yang Wang, Ning Cao*, Zuojun Liu, Yudong Zhang. Real-time dynamic MRI using parallel dictionary learning and dynamic total variation. Neurocomputing. 2017, 238: 410-419 (IF: 3.317)
  • Shui-Hua Wang, Preetha Phillips, Zheng-Chao Dong, Yu-Dong Zhang*, Intelligent Facial Emotion Recognition based on Stationary Wavelet Entropy and Jaya algorithm, Neurocomputing, 2017, doi: 10.1016/j.neucom.2017.08.015 (IF: 3.317)
  • Huimin Lu, Yujie Li, Yudong Zhang, Min Chen, Seiichi Serikawa, Hyoungseop Kim. Underwater Optical Image Processing: A Comprehensive Review, Mobile Networks and Applications, 2017, doi: 10.1007/s11036-017-0863-4 (IF: 3.259)
  • Yudong Zhang, Xian-Qing Chen, Tian-Ming Zhan, Zhu-Qing Jiao, Yi Sun, Zhi-Min Chen, Yu Yao, Lan-Ting Fang, Yi-Ding Lv, Shui-Hua Wang*. Fractal dimension estimation for developing pathological brain detection system based on Minkowski-Bouligand method. IEEE Access, 2016, 4: 5937-5947 (IF: 3.244)
  • Yudong Zhang, Zhangjing Yang, Huimin Lu, Xing-Xing Zhou, Preetha Phillips, Qing-Ming Liu, Shuihua Wang, Facial Emotion Recognition based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation, IEEE Access, 2016, 4: 8375-8385, (IF: 3.244)
  • Yudong Zhang*, Zhengchao Dong, Jiquan Yang, Genlin Ji, Shuihua Wang*, Qiong Wang, Chunmei Feng, A review of Magnetic Resonance Imaging for neuropharmacology, Basic & Clinical Pharmacology & Toxicology. 2015, 117(S3): 18-19 (IF: 3.176)
  • Anitha Vishnuvarthanan, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Yudong Zhang*, Shuihua Wang, Genlin Ji, Preetha Phillips, Fruit classification using computer vision and feedforward neural network, Journal of Food Engineering, 2014, 143: 167-177 (IF: 3.099)
  • Yudong Zhang*, Lenan Wu, Shuihua Wang, Genlin Ji, Comment on 'Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review (Food Research International 2014, 62: 326-343)’. Food Research International, 2015, 70: 142 (IF: 3.086)
  • Zhengchao Dong*, Yudong Zhang, Feng Liu, Yunsuo Duan, Alayar Kangarlu, Bradley Peterson, Improving the Spectral Resolution and Spectral Fitting of H MRSI Data from Human Calf Muscle by the SPREAD Technique. NMR in Biomedicine, 2014, 27(11): 1325-1332 (IF: 2.872)
  • Yudong Zhang, Bradley Peterson, Zhengchao Dong, A Support-Based Reconstruction for SENSE MRI. Sensors, 2013, 13(4): 4029-4040 (IF: 2.677)
  • Yudong Zhang, Lenan Wu*, Classification of Fruits using Computer Vision and a Multiclass Support Vector Machine, Sensors, 2012, 12(9): 12489-12505 (IF: 2.677)
  • Yudong Zhang, Lenan Wu*, Crop Classification by forward neural network with adaptive chaotic particle swarm optimization, Sensors, 2011, 11(5): 4721-4743 (IF: 2.677)
  • Yudong Zhang*, Lenan Wu, N Neggaz, Shuihua Wang, Geng Wei, Remote-sensing Image Classification Based on an Improved Probabilistic Neural Network. Sensors, 2009, 9(9): 7516-7539 (IF: 2.677)
  • Yudong Zhang*, Lenan Wu, Pattern recognition via PCNN and Tsallis entropy, Sensors, 2008, 8(11):7518-7529 (IF: 2.677)
  • Shuihua Wang, Sidan Du, Yin Zhang, Preetha Phillips, Lenan Wu, Xian-Qing Chen, Yudong Zhang*, Alzheimer’s Disease Detection by Pseudo Zernike Moment and Linear Regression Classification, CNS & Neurological Disorders - Drug Targets, 2017, 16(1): 11-15 (IF: 2.506)
  • Siyuan Lu, Xin Qiu, Jianping Shi, Na Li, Zhihai Lu, Peng Chen, Meng-Meng Yang, Fang-Yuan Liu, Wen-Juan Jia, Yudong Zhang*, A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm, CNS & Neurological Disorders - Drug Targets, 2017, 16(1): 23-29 (IF: 2.506)
  • Siyuan Lu, Shuihua Wang, Yudong Zhang*, A note on the weight of inverse complexity in improved hybrid genetic algorithm, Journal of Medical Systems, 2016, 40(6): 150 (IF: 2.456)
  • Yudong Zhang, Yi Sun, Preetha Phillips, Ge Liu, Xingxing Zhou, Shuihua Wang*, A multilayer perceptron based smart pathological brain detection system by fractional Fourier entropy. Journal of Medical Systems, 2016, 40(7): 173 (IF: 2.456)
  • Y. Karaca, Z. Aslan, C. Cattani, D. Galletta, Y. Zhang, Rank Determination of Mental Functions by 1D Wavelets and Partial Correlation, Journal of Medical Systems. 2017, 41, Article ID: 2 (IF: 2.456)
  • Yudong Zhang*, Shuihua Wang, Zhengchao Dong, Preetha Phillips, Genlin Ji, Jiquan Yang, Pathological brain detection in magnetic resonance imaging scanning by wavelet entropy and hybridization of biogeography-based optimization and particle swarm optimization, Progress in Electromagnetics Research – PIER. 2015, 152: 41-58 (IF: 2.404)
  • Yudong Zhang*, Shuihua Wang, Zhengchao Dong, Classification of Alzheimer disease based on structural magnetic resonance imaging by kernel support vector machine decision tree. Progress in Electromagnetics Research-PIER, 2014, 144, 185-191 (IF: 2.404)
  • Shaohua Wan*, Yudong Zhang*, Chen Jia, On the Construction of Data Aggregation Tree with Maximizing Lifetime in Large Scale Wireless Sensor Networks, IEEE Sensors Journal, 2016, 16(20): 7433-7440 (IF: 2.512)
  • Siyuan Lu, Shuihua Wang, Yudong Zhang*. A note on the marker-based watershed method for X-ray image segmentation, Computer Methods and Programs in Biomedicine. 2017, 141: 1-2 (IF: 2.503)
  • Yudong Zhang*, Lenan Wu, Geng Wei, Shuihua Wang, A novel algorithm for all pairs shortest path problem based on matrix multiplication and pulse coupled neural network. Digital Signal Processing, 2011, 21(4): 517-521 (IF: 2.337)
  • Yudong Zhang, Shuihua Wang, Preetha Phillips, Zhengchao Dong, Genlin Ji, Jiquan Yang, Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC. Biomedical Signal Processing and Control, 2015, 21: 58-73 (IF: 2.214)
  • Yudong Zhang, Shuihua Wang, Detection of Alzheimer's disease by displacement field and machine learning, PeerJ, 2015. 3:e1251, (IF: 2.177)
  • Shuihua Wang, Mengmeng Chen, Yang Li, Ying Shao, Yudong Zhang, Sidan Du*, Jane Ying Wu*, Morphological analysis of dendrites and spines by hybridization of ridge detection with twin support vector machine, PeerJ. 2016, 4: e2207 (IF: 2.177)
  • Shui-Hua Wang, Junding Sun, Preetha Phillips, Guihu Zhao, Yu-Dong Zhang*, Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units, Journal of Real-Time Image Processing, 2017, doi: 10.1007/s11554-017-0717-0, (IF: 2.010)
  • Yudong Zhang*, Zhengchao Dong, Genlin Ji, Shuihua Wang, Effect of Spider web plot in MR brain image classification. Pattern Recognition Letters, 2015, 62: 14-16 (IF: 1.995)
  • Yudong Zhang*, Zhengchao Dong, Preetha Phillips, Shuihua Wang, Genlin Ji, Jiquan Yang, Ti-Fei Yuan*. Detection of subjects and brain regions related to Alzheimer’s disease using 3D MRI scans based on eigenbrain and machine learning, Frontiers in Computational Neuroscience, 2015, 9:66 (IF: 1.821)
  • Shuihua Wang, Ming Yang, Sidan Du*, Jiquan Yang, Bin Liu, Juan Manuel Gorriz*, Javier Ramírez*, Tifei Yuan*, Yudong Zhang*, Wavelet entropy and directed acyclic graph support vector machine for detection of patients with unilateral hearing loss in MRI scanning, Frontiers in Computational Neuroscience, 2016, 10, Article ID: 160 (IF: 1.821)
  • Shuihua Wang, Yudong Zhang*, Xiaojun Yang, Ping Sun, Zhengchao Dong, Aijun Liu, Ti-Fei Yuan, Pathological brain detection by a novel image feature – fractional Fourier entropy. Entropy, 2015, 17(12): 8278-8296 (IF: 1.821)
  • Shuihua Wang*, Yudong Zhang*, Genlin Ji, Jiquan Yang, Jianguo Wu, Ling Wei, Fruit classification by wavelet-entropy and feedforward neural network trained by fitness-scaled chaotic ABC and biogeography-based optimization. Entropy, 2015, 17(8): 5711-5728 (IF: 1.821)
  • Yudong Zhang*, Zhengchao Dong, Shuihua Wang, Genlin Ji, Jiquan Yang. Preclinical diagnosis of magnetic resonance (MR) brain images via discrete wavelet packet transform with Tsallis entropy and generalized eigenvalue proximate support vector machine (GEPSVM). Entropy, 2015, 17(4): 1795-1813 (IF: 1.821)
  • Shuihua Wang, Siyuan Lu, Zhengchao Dong, Jiquan Yang, Ming Yang, Yudong Zhang*, Dual-Tree Complex Wavelet Transform and Twin Support Vector Machine for Pathological Brain Detection, Applied Science, 2016, 6(6): 169 (IF: 1.679)
  • Yudong Zhang, Lenan Wu*, Geng Wei, Color image enhancement based on HVS and PCNN, Science China Information Sciences, 2010, 53 (10): 1963-1976 (IF: 1.628)
  • Yudong Zhang*, Lenan Wu, Improved image filter based on SPCNN, Science in China F edition: Information Science, 2008, 51(12): 2115-2125 (IF: 1.628)
  • Yudong Zhang*, Lenan Wu, Segment-based Coding of Color Images, Science in China F edition: Information Science, 2009, 52(6): 914-925 (IF: 1.628)
  • Yu-Dong Zhang, Yin Zhang, Preetha Phillips, Zhengchao Dong, Shui-Hua Wang*, Synthetic Minority Oversampling Technique and Fractal Dimension for Identifying Multiple Sclerosis. Fractals. 2017, 25(4): Article ID: 1740010 (IF: 1.540)
  • Gelan Yang, Yudong Zhang*, Jiquan Yang, Genlin Ji, Zhengchao Dong, Shuihua Wang, Chunmei Feng, Qiong Wang. Automated classification of brain images using wavelet-energy and biogeography-based optimization. Multimedia Tools and Applications, 2016, 75(23): 15601-15617. (IF: 1.530)
  • Shuihua Wang, Yin Zhang, Yu-Jie Li, Wen-Juan Jia, Fang-Yuan Liu, Meng-Meng Yang, Yu-Dong Zhang*, Single Slice based Detection for Alzheimer’s disease via wavelet entropy and multilayer perceptron trained by biogeography-based optimization. Multimedia Tools and Applications. 2017, doi: 10.1007/s11042-016-4222-4 (IF: 1.530)
  • Yu-Dong Zhang, Yin Zhang, Xiao-Xia Hou, Hong Chen, Shui-Hua Wang*. Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed. Multimedia Tools and Applications. 2017, doi: 10.1007/s11042-017-4554-8 (IF: 1.530)
  • Yudong Zhang*, Jianfei Yang, Zhengchao Dong, Shuihua Wang*, Preetha Phillips, Pathological brain detection in MRI scanning via Hu moment invariants and machine learning, Journal of Experimental & Theoretical Artificial Intelligence, 2017, 29(2): 299-312 (IF: 1.384)
  • Aijun Liu*, Yu Yang, Qingsong Xing, Hao Yao, Yudong Zhang, Improved collaborative particle swarm algorithm for job shop scheduling optimization, Advanced Science Letters, 2011, 4(6-7): 2180-2183 (IF: 1.253)
  • Yudong Zhang*, Preetha Phillips, Shuihua Wang*, Genlin Ji, Jiquan Yang, Jianguo Wu, Fruit Classification by Biogeography-based Optimization and Feedforward Neural Network, Expert Systems, 2016, 33(3): 239-253 (IF: 1.180)
  • Yudong Zhang, Shufang Chen, Shuihua Wang*, Jianfei Yang, Preetha Phillips, Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine, International Journal of Imaging Systems and Technology. 2015, 24(4): 317-327 (IF: 1.139)
  • Shuihua Wang, Yudong Zhang*, Zhengchao Dong, Sidan Du*, Genlin Ji, Jie Yan, Jiquan Yang, Qiong Wang, Chunmei Feng, Preetha Phillips, Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection, International Journal of Imaging Systems and Technology. 2015, 25(2): 153-164 (IF: 1.139)
  • Chun-Yu Yang, Yu-Dong Zhang*, Xiao-Jun Yang, Exact solutions for the differential equations in fractal heat transfer, Thermal Science, 2016, 20(S3): S747-S750 (IF: 1.093)
  • Shuihua Wang, Sidan Du, Zhimin Chen, Preetha Phillips, Shuwen Chen, Zeyuan Lu, Ping Sun, Zhengchao Dong, Yudong Zhang*, Preliminary Research on Brain Tumor Detection in MRI Scanning by Wavelet Entropy and Kernel Support Vector Machine, BMC Medical Imaging, 2016(S1), Article ID: 05 (IF: 1.060)
  • Shuihua Wang, Preetha Phillips, Jianfei Yang, Ping Sun, Yudong Zhang*, Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficients, Biomedical Engineering/Biomedizinische Technik, 2016. 61(4): 431-441 (IF: 0.915)
  • Yudong Zhang*, Shuihua Wang*, Ping Sun, Preetha Phillips, Pathological brain detection based on wavelet entropy and Hu moment invariants. Bio-Medical Materials and Engineering, 2015, 26: 1283-1290 (IF: 0.700)
  • Shuihua Wang, Mengmeng Chen, Yang Li, Yudong Zhang, Liangxiu Han, Jane Wu*, Sidan Du*, Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks, Computational and Mathematical Methods in Medicine, 2015, Article ID: 454076 (IF: 0.937)
  • Yudong Zhang*, Bradley Peterson, Genlin Ji, Zhengchao Dong, Energy preserved sampling for compressed sensing MRI. Computational and Mathematical Methods in Medicine, 2014, Article ID: 546814 (IF: 0.937)
  • Yi Sun*, Qiaoyan Wen, Yudong Zhang, Wenmin Li. Privacy-preserving self-helped medical diagnosis scheme based on secure two-party computation in wireless sensor networks. Computational and Mathematical Methods in Medicine, 2014, Article ID: 214841 (IF: 0.937)
  • Yudong Zhang*, Zhengchao Dong, Genlin Ji, Shuihua Wang, An improved reconstruction method for CS-MRI based on exponential wavelet transform and iterative shrinkage thresholding algorithm, Journal of Electromagnetic Waves and Applications, 2014, 28(18): 2327-2338 (IF: 0.850)
  • Yudong Zhang*, Lenan Wu, B Peterson, Zhengchao Dong, A two-level iterative reconstruction method for compressed sensing MRI, Journal of Electromagnetic Waves and Applications, 2011, 25(8/9): 1081-1091 (IF: 0.850)
  • Yudong Zhang, Xueyan Wu, Siyuan Lu, Hainan Wang, Preetha Phillips, Shuihua Wang*, Smart detection on abnormal breasts in digital mammography based on contrast-limited adaptive histogram equalization and chaotic adaptive real-coded biogeography-based optimization. Simulation, 2016, 92(9): 873-885 (IF: 0.713)
  • Yudong Zhang, Siyuan Lu, Xingxing Zhou, Ming Yang, Lenan Wu, Bin Liu, Preetha Phillips, Shuihua Wang*, Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, k-nearest neighbors, and support vector machine, Simulation, 2016, 92(9): 861-871 (IF: 0.713)
  • Yudong Zhang*, Zhengchao Dong, Aijun Liu, Shuihua Wang, Genlin Ji, Zheng Zhang, Jiquan Yang. Magnetic resonance brain image classification via stationary wavelet transform and generalized eigenvalue proximal support vector machine, Journal of Medical Imaging and Health Informatics, 2015, 5(7): 1395-1403 (IF: 0.621)
  • Shuihua Wang, Ming Yang, Jianwu Li, Xueyan Wu, Hainan Wang, Bin Liu, Zhengchao Dong, Yudong Zhang*, Texture analysis method based on fractional Fourier entropy and fitness-scaling adaptive genetic algorithm for detecting left-sided and right-sided sensorineural hearing loss, Fundamenta Informaticae, 2017, 151(1-4): 505-521 (IF: 0.687)
  • Shuihua Wang, Ravipudi Venkata Rao, Peng Chen, Yudong Zhang*, Aijun Liu, Ling Wei, Abnormal Breast Detection in Mammogram Images by Feed-forward Neural Network trained by Jaya Algorithm, Fundamenta Informaticae, 2017, 151(1-4): 191-211 (IF: 0.687)
  • Xingxing Zhou, Yudong Zhang*, Genlin Ji, Jiquan Yang, Zhengchao Dong, Shuihua Wang, Guangshuai Zhang, Preetha Phillips, Detection of abnormal MR brains based on wavelet entropy and feature selection. IEEJ Transactions on Electrical and Electronic Engineering, 2016, 11(3), 364-373 (IF: 0.517)
  • Yudong Zhang*, Shuihua Wang, Genlin Ji, Zhengchao Dong, Exponential wavelet iterative shrinkage thresholding algorithm with random shift for compressed sensing magnetic resonance imaging. IEEJ Transactions on Electrical and Electronic Engineering, 2015, 10(1): 116-117 (IF: 0.517)
  • Yudong Zhang*, Shuihua Wang, Yuankai Huo, Lenan Wu, Aijun Liu, Feature extraction of brain MRI by stationary wavelet transform and its applications. Journal of Biological Systems, 2010, 18(s1): 115-132 (IF: 0.390)


Conference Proceedings and Presentations

  • Yudong Zhang*, Lenan Wu, Multi-resolution rigid image registration using bacterial multiple colony chemotaxis, in Visual Information Engineering (VIE), 2008, Xi’an, China: IEEE, pp. 528-532.
  • Yudong Zhang*, Lenan Wu, Zhengchao Dong, Shuihua Wang, Zhengyu Zhou, Face orientation estimation by particle swarm optimization, in Second International Symposium on Information Science and Engineering (ISISE), 2008, Shanghai, China: IEEE Computer Society, pp. 388-391
  • Shuihua Wang*, Lenan Wu, Yudong Zhang, Zhengyu Zhou, Ant Colony Algorithm Used for Bankruptcy Prediction, in 2nd International Symposium on Information Science and Engineering (ISISE), 2008, Shanghai, China: IEEE Computer Society, 137-139.
  • Ji Xi, Xiaowei Zhao, Xuewu Zhang, Yudong Zhang, Shuihua Wang, The Messy-Niche Algorithm used for Image Super-resolution, in International Conference on Wireless Communications and Signal Processing (WCSP), 2009, Nanjing, P R China: IEEE, pp. 1081-1084.
  • Yudong Zhang*, Lenan Wu. A Genetic Ant Colony Classifier System, in WRI World Congress on Computer Science and Information Engineering, 2009, Los Angeles, CA, USA: IEEE Computer Society, pp. 744-748
  • Yudong Zhang*, Lenan Wu, Bacterial Chemotaxis Optimization for Protein Folding Model, in 5th International Conference on Natural Computation (ICNC), 2009, Tianjin, China: IEEE, pp. 159-162
  • Ying Wen, Zhenyu Zhou, Xunheng Wang, Yudong Zhang, Renhua Wu, An improved locally linear embedding for sparse data sets, in IEEE International Conference on Image Processing, 2010, Hong Kong: IEEE Computer Society. pp. 1585-1588.
  • Yuankai Huo*, Geng Wei, Yudong Zhang, Lenan Wu, An adaptive threshold for the Canny Operator of edge detection, in International Conference on Image Analysis and Signal Processing, 2010, Zhejiang, China: IEEE, pp. 371-374
  • Yudong Zhang*, Lenan Wu, Recursive structure element decomposition using migration fitness scaling genetic algorithm, in 2nd International Conference on Swarm Intelligence, 2011, Chongqing, China: Springer Verlag. pp. 514-521
  • Yudong Zhang*, Zhengchao Dong, Lenan Wu, Shuihua Wang, Zhenyu Zhou, Feature extraction of brain MRI by stationary wavelet transform, in International Conference on Biomedical Engineering and Computer Science, 2010, Wuhan, China: IEEE, pp. 1-4
  • Yudong Zhang*, Lenan Wu, Shuihua Wang, Yuankai Huo, Chaotic Artificial Bee Colony Used for Cluster Analysis, in Intelligent Computing and Information Science, Pt I, R. Chen, Editor 2011, Springer-Verlag Berlin: Berlin. p. 205-211.
  • Zeyuan Lu*, Lenan Wu, Yudong Zhang, Velocity estimation based on satellite dual frequency EBPSK system, in 29th URSI General Assembly and Scientific Symposium, 2014, Beijing, China: IEEE, pp. 1-4
  • Shuihua Wang, Yudong Zhang*, Genlin Ji, Application of TS-PSO to Face Pose Estimation, in Asia-Pacific Computer Science and Application Conference, Ally Hu Eds., 2014, CRC Press, pp. 281-285
  • Xingxing Zhou, Yudong Zhang, Genlin Ji, Shuihua Wang, Wavelet-entropy based detection of pathological brain in MRI scanning, in Asia-Pacific Computer Science and Application Conference, Ally Hu Eds., CRC Press, 2014, pp. 380-384
  • Yudong Zhang*, Shuihua Wang, Genlin Ji, Zhengchao Dong, Jie Yan, Preliminary Research on Combination of Exponential Wavelet and FISTA for CS-MRI, in Bioinformatics and Biomedical Engineering. vol. 9043, F. Ortuño and I. Rojas, Eds., ed: Springer International Publishing, 2015, pp. 175-182.
  • Xingxing Zhou, Shuihua Wang, Wei Xu, Genlin Ji, Preetha Phillips, Ping Sun, Yudong Zhang*, Detection of pathological brain in MRI scanning based on wavelet-entropy and naive Bayes classifier, in Bioinformatics and Biomedical Engineering. vol. 9043, F. Ortuño and I. Rojas, Eds., ed: Springer International Publishing, 2015, pp. 201-209.
  • Guang-Shuai Zhang, Zhihai Lu*, Genlin Ji, Ping Sun, Jian-Fei Yang, Yudong Zhang, Automated classification of brain MR images by wavelet-energy and k-nearest neighbors algorithm, in 7th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), 2015, Nanjing, China: IEEE, pp. 87-91
  • Shuihua Wang, Yi Chen, Xing-Xing Zhou, Jianfei Yang, Ling Wei, Ping Sun, Yudong Zhang, Pathological Brain Detection by Wavelet-Energy and Fuzzy Support Vector Machine, in 8th International Symposium on Computational Intelligence and Design (ISCID), 2015, Hangzhou, Zhejiang, China: IEEE, pp. 409-412
  • Xingxing Zhou, Guangshuai Zhang, Zhengchao Dong, Shuihua Wang, Yudong Zhang*, Tea Category Classification based on Wavelet Entropy and Feed-forward Neural Network, in High Performance Computing and Applications (HPCA), 2015, Springer, Berlin, pp. 48-54
  • Hari Mohan Pandey, Ankit Chaudhary, Deepti Mehrotra, Yudong Zhang, The BMODS: A powerful 2-D representation scheme for the GA's population, 6th International Conference - Cloud System and Big Data Engineering (Confluence), 2016, Noida, India: IEEE, pp. 51-52
  • Shuihua Wang*, Xingxing Zhou, Guangshuai Zhang, Genlin Ji, Jiquan Yang, Zheng Zhang, Zeyuan Lu, Yudong Zhang*, Cluster Analysis by Variance Ratio Criterion and Quantum-behaved PSO. in Cloud Computing and Security, Zhiqiu Huang, Xingming Sun, Junzhou Luo, Jian Wang Ed, Springer, 2016, pp. 285-293
  • Shuihua Wang, Lenan Wu, Yuankai Huo, Xueyan Wu, Hainan Wang, Yudong Zhang*, Predict two-dimensional protein folding based on hydrophobic-polar lattice model and chaotic clonal genetic algorithm, Intelligent Data Engineering and Automated Learning (IDEAL), 2016, Yangzhou, China: Springer, pp. 10-17
  • Siyuan Lu, Zhihai Lu, Preetha Phillips, Shuihua Wang*, Jianguo Wu, Yudong Zhang*, Fruit classification by HPA-SLFN. 8th International Conference on Wireless Communications & Signal Processing (WCSP). 2016, Yangzhou, P R China: IEEE, Article ID: 7752639
  • Yu-Dong Zhang, Xiao-Xia Hou, Hong Chen, Yin Zhang, Shui-Hua Wang*, Sparse Autoencoder based deep neural network for voxelwise detection of cerebral microbleed, 22nd International Conference on Parallel and Distributed Systems, 2016, Wuhan, China: IEEE, pp. 1229-1232
  • Yu Nakagawa, Keita Kihara, Ryunosuke Tadoh, Seiichi Serikawa, Huimin Lu, Yudong Zhang, Yujie Li, Super Resolving of the Depth Map for 3D Reconstruction of Underwater Terrain Using Kinect, 22nd International Conference on Parallel and Distributed Systems, 2016, Wuhan, China: IEEE, pp. 1237-1240



  • Yudong Zhang, Image Processing via Pulse Coupled Neural Network. Germany: Lambert Academic Publishing. July 2012
  • Manish Kumar, Applied Big Data Analytics in Operations Management, USA: IGI Global, Sep 2016 (I served in Editorial Advisory Board, and I wrote the foreword)



Journal Appointments

Editors of Scientific Reports, Journal of Alzheimer’s Disease, PLOS ONE, etc.


Honors and Awards

2014, 2015, and 2016 Most Cited Chinese Researchers (Computer Science) released by Elsevier

Twenty-one papers are included in “ESI Highly Cited Papers”

Two papers once were included in “ESI Hot Papers”

Emerald Citation of Excellence Winners: 2017

MDPI Top 10 Most Cited Papers published in 2015

Included in Chinese Who’s Who

Nominator of Scientific Chinese Award (The People of the Year 2016)


Academic Title

Professor, School of Computer Science and Technology, Nanjing Normal University

ACM Senior Member (2016-till now)

IEEE Senior Member (2017-till now)

Director of Computer Application Federation of China Instrument and Control Society (CACIS)

Academic leader of “Jiangsu key laboratory of 3D printing equipment and manufacturing”