Yudong Zhang

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Shuihua WangDepartment of Mathematics, University of LeicesterVerified email at le.ac.uk
Juan Manuel Gorriz SaezFull Professor at University of GranadaVerified email at ugr.es
Siyuan LuNanjing University of Posts and TelecommunicationsVerified email at njupt.edu.cn
Muhammad Attique Khan, (PhD) MIEEEHITEC University Taxila; Adjunct Professor, Lebanese American UniversityVerified email at hitecuni.edu.pk
Suresh Chandra SatapathyKIIT Deemed to be University,BhubaneswarVerified email at ieee.org
Chaosheng TangCollege of Computer Science and Technology，Henan Polytechnic UniversityVerified email at hpu.edu.cn
Xiang YuPh.D Candidate, Guangzhou University of Chinese MedicineVerified email at ucr.edu
David GutteryUniversity of LeicesterVerified email at le.ac.uk
Qinghua ZhouKing's College LondonVerified email at kcl.ac.uk
Shuai LiuSchool of Electrical and Electronic Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Khan Muhammad, PhD (Digital Conte...VIS2KNOW Lab, Department of Applied AI, Sungkyunkwan University, Seoul 03063, South KoreaVerified email at skku.edu
Deepak Ranjan NayakAssistant Professor, Malaviya National Institute of Technology JaipurVerified email at ieee.org
Seifedine Kadry, Fellow IETNoroff University CollegeVerified email at noroff.no
Carlo CattaniDeim, University of TusciaVerified email at unitus.it
Xiao-Jun YangChina University of Mining and TechnologyVerified email at cumt.edu.cn
Yuankai HuoComputer Science, Vanderbilt UniversityVerified email at vanderbilt.edu
Pallikonda Rajasekaran MuruganKALASALINGAM UNIVERSITYVerified email at klu.ac.in
Huimin LuKyushu Institute of TechnologyVerified email at ieee.org
Javier RamírezUniversity of Granada, SpainVerified email at ugr.es
Bradley S. Peterson, M.D.University of Southern California, Children's Hospital Los AngelesVerified email at chla.usc.edu

Yudong Zhang

University of Leicester, HFWLA/FIET/FEAI/FBCS/SMIEEE/SMACM/DSACM, Clarivate Highly Cited Researcher

Verified email at le.ac.uk

artificial intelligence deep learning medical image processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A comprehensive survey on particle swarm optimization algorithm and its applications Y Zhang, S Wang, G Ji Mathematical Problems in Engineering 2015, 2015	1176	2015
Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network Y Zhang, L Wu Expert systems with applications 36 (5), 8849-8854, 2009	563	2009
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection Y Zhang, S Wang, P Phillips, G Ji Knowledge-Based Systems 64, 22-31, 2014	456	2014
A hybrid method for MRI brain image classification Y Zhang, Z Dong, L Wu, S Wang Expert Systems with Applications 38 (8), 10049-10053, 2011	425	2011
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation YD Zhang, Z Dong, X Chen, W Jia, S Du, K Muhammad, SH Wang Multimedia Tools and Applications 78 (3), 3613-3632, 2019	356	2019
Pathological brain detection based on AlexNet and transfer learning S Lu, Z Lu, YD Zhang Journal of computational science 30, 41-47, 2019	342	2019
Fruit classification using computer vision and feedforward neural network Y Zhang, S Wang, G Ji, P Phillips Journal of Food Engineering 143, 167-177, 2014	335	2014
An Mr Brain Images Classifier via Principal Component Analysis and Kernel Support Vector Machine Y Zhang, L Wu Progress In Electromagnetics Research 130, 369-388, 2012	334	2012
Classification of fruits using computer vision and a multiclass support vector machine Y Zhang, L Wu sensors 12 (9), 12489-12505, 2012	330	2012
A Review of Deep-Learning-Based Medical Image Segmentation Methods X Liu, L Song, S Liu, Y Zhang Sustainability 13 (3), 1224, 2021	320	2021
Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images A Bhandary, GA Prabhu, V Rajinikanth, KP Thanaraj, SC Satapathy, ... Pattern Recognition Letters 129, 271-278, 2020	319	2020
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning Y Zhang, Z Dong, P Phillips, S Wang, G Ji, J Yang, TF Yuan Frontiers in Computational Neuroscience 9, 66, 2015	294	2015
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network SH Wang, VV Govindaraj, JM Górriz, X Zhang, YD Zhang Information Fusion 67, 208-229, 2021	293	2021
Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach Y Zhang, L Wu Entropy 13 (4), 841-859, 2011	285	2011
Introduction of key problems in long-distance learning and training S Liu, Z Li, Y Zhang, X Cheng Mobile Networks and Applications 24 (1), 1-4, 2019	280	2019
Magnetic Resonance Brain Image Classification by an Improved Artificial Bee Colony Algorithm Y Zhang, L Wu, S Wang Progress In Electromagnetics Research 116, 65-79, 2011	252	2011
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation YD Zhang, Z Dong, SH Wang, X Yu, X Yao, Q Zhou, H Hu, M Li, ... Information Fusion 64, 149-187, 2020	239	2020
Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network YD Zhang, SC Satapathy, DS Guttery, JM Górriz, SH Wang Information Processing & Management 58 (2), 102439, 2021	235	2021
Classification of Alzheimer Disease Based on Structural Magnetic Resonance Imaging by Kernel Support Vector Machine Decision Tree Y Zhang, S Wang, Z Dong Progress In Electromagnetics Research 144, 171-184, 2014	229	2014
Preclinical Diagnosis of Magnetic Resonance (MR) Brain Images via Discrete Wavelet Packet Transform with Tsallis Entropy and Generalized Eigenvalue Proximal Support Vector … Y Zhang, Z Dong, S Wang, G Ji, J Yang Entropy 17 (4), 1795-1813, 2015	223	2015

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