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Computer Science
UK
2026

D-Index & Metrics

Computer Science

D-Index
111
Citations
38920
World Ranking
218
National Ranking
8

Yudong Zhang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yudong Zhang sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 739 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yudong Zhang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yudong Zhang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 111 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2016 - ACM Senior Member

Overview

Yudong Zhang is affiliated with the University of Leicester in the United Kingdom and has contributed extensively to research intersecting computer science and medicine. Their work predominantly focuses on applications of artificial intelligence, machine learning, and medical imaging in healthcare diagnostics and treatment.

The scientist's primary fields of study include Computer Science and Medicine, with particular emphasis on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Neurology, and Electrical and Electronic Engineering.

Key research topics addressed in their publications comprise:

  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Brain Tumor Detection and Classification
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Medical Image Segmentation Techniques

Recent significant papers authored by or involving Yudong Zhang include:

  • "A Review of Deep-Learning-Based Medical Image Segmentation Methods" (2021), published in Sustainability
  • "A review on extreme learning machine" (2021), published in Multimedia Tools and Applications
  • "Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation" (2020), published in Information Fusion
  • "Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network" (2020), published in Information Fusion
  • "Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network" (2020), published in Information Processing & Management

Frequent co-authors collaborating with Yudong Zhang include:

  • Shuihua Wang
  • J. M. Górriz
  • Junding Sun
  • Shuaiqi Liu

The scientist has published multiple books with various publishers. Notable publishing houses include Springer Nature, Springer International Publishing, Springer's Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer Science+Business Media, and Frontiers Media. Examples of published works are:

  • "Smart Trends in Computing and Communications: Proceedings of SmartCom 2020" (2020) by Springer Nature
  • "Evolution in Computational Intelligence" (2020) by Springer Nature
  • "Intelligent Data Engineering and Analytics" (2020) by Springer Nature
  • "Medical Imaging and Computer-Aided Diagnosis" (2023) by Springer Science+Business Media
  • "Artificial Intelligence in Data and Big Data Processing" (2022) by Springer International Publishing
  • "Extracting Insights from Digital Public Health Data using Artificial Intelligence" (2022) by Frontiers Media

Yudong Zhang has contributed to venues frequently publishing their work, including arXiv (Cornell University), Biomedical Signal Processing and Control, Computer Modeling in Engineering & Sciences, Multimedia Tools and Applications, and Knowledge-Based Systems.

In recognition of their professional standing, Yudong Zhang received the ACM Senior Member award in 2016.

Best Publications

  • A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

    Yudong Zhang;Shuihua Wang;Shuihua Wang;Genlin Ji

  • A Review of Deep-Learning-Based Medical Image Segmentation Methods

    Xiangbin Liu;Liping Song;Shuai Liu;Yudong Zhang

  • Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network

    Yudong Zhang;Lenan Wu

  • Binary PSO with mutation operator for feature selection using decision tree applied to spam detection

    Yudong Zhang;Shuihua Wang;Preetha Phillips;Genlin Ji

  • A review on extreme learning machine

    Jian Wang;Siyuan Lu;Shui-Hua Wang;Yu-Dong Zhang;Yu-Dong Zhang

  • A hybrid method for MRI brain image classification

    Yudong Zhang;Zhengchao Dong;Lenan Wu;Shuihua Wang

  • Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

    Yu-Dong Zhang;Yu-Dong Zhang;Zhengchao Dong;Shui-Hua Wang;Shui-Hua Wang;Shui-Hua Wang;Xiang Yu

  • Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images

    Abhir Bhandary;G. Ananth Prabhu;V. Rajinikanth;K. Palani Thanaraj

  • Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

    Yu-Dong Zhang;Zhengchao Dong;Xianqing Chen;Wenjuan Jia

  • Pathological brain detection based on AlexNet and transfer learning

    Siyuan Lu;Zhihai Lu;Yu-Dong Zhang

  • Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine

    Yudong Zhang;Lenan Wu

  • Fruit classification using computer vision and feedforward neural network

    Yudong Zhang;Shuihua Wang;Genlin Ji;Preetha Phillips

  • An Mr Brain Images Classifier via Principal Component Analysis and Kernel Support Vector Machine

    Yu-Dong Zhang;Lenan Wu

  • Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning.

    Yudong Zhang;Zhengchao Dong;Preetha Phillips;Shuihua Wang;Shuihua Wang

  • Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

    Yu-Dong Zhang;Yu-Dong Zhang;Suresh Chandra Satapathy;David S. Guttery;Juan Manuel Górriz

  • Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network.

    Shui Hua Wang;Shui Hua Wang;Shui Hua Wang;Vishnu Varthanan Govindaraj;Juan Manuel Górriz;Juan Manuel Górriz;Xin Zhang

  • Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation

    Yu-Dong Zhang;Zhang-Jing Yang;Hui-Min Lu;Xing-Xing Zhou

  • Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach

    Yudong Zhang;Lenan Wu

  • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Juan M. Górriz;Juan M. Górriz;Javier Ramírez;Andrés Ortíz;Francisco J. Martínez-Murcia

  • Preclinical Diagnosis of Magnetic Resonance (MR) Brain Images via Discrete Wavelet Packet Transform with Tsallis Entropy and Generalized Eigenvalue Proximal Support Vector Machine (GEPSVM)

    Yudong Zhang;Zhengchao Dong;Shuihua Wang;Genlin Ji

  • Introduction of key problems in long-distance learning and training

    Shuai Liu;Zhaojun Li;Yudong Zhang;Xiaochun Cheng

  • AN MR BRAIN IMAGES CLASSIFIER VIA PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT

    Y. Zhang;L. Wu

Frequent Co-Authors

Shuihua Wang
Shuihua Wang Xi’an Jiaotong-Liverpool University
Lenan Wu
Lenan Wu Southeast University
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Yin Zhang
Yin Zhang University of Electronic Science and Technology of China
Ti-Fei Yuan
Ti-Fei Yuan Shanghai Jiao Tong University
Juan Manuel Górriz
Juan Manuel Górriz University of Granada
Yuankai Huo
Yuankai Huo Vanderbilt University
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Xiao-Jun Yang
Xiao-Jun Yang China University of Mining and Technology
Javier Ramírez
Javier Ramírez University of Granada

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