World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13283
World Ranking
4057
National Ranking
536

Weiming 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 Weiming 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: 247 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Weiming 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 Weiming 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Weiming Zhang is a researcher affiliated with the University of Science and Technology of China. Their primary field of work is computer science, with a strong focus on computer vision and pattern recognition, artificial intelligence, and signal processing. Zhang's scholarly output spans a wide range of topics within these domains.

Their research covers several main topics, including:

  • Advanced Steganography and Watermarking Techniques
  • Digital Media Forensic Detection
  • Generative Adversarial Networks and Image Synthesis
  • Chaos-based Image/Signal Encryption
  • Adversarial Robustness in Machine Learning
  • Face Recognition and Analysis
  • Advanced Neural Network Applications

Frequent collaborators in Zhang's work include Nenghai Yu, Kejiang Chen, Dongdong Chen, Han Fang, and Jie Zhang.

Zhang has contributed extensively to the scientific literature, with many publications appearing in prominent venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Dependable and Secure Computing, and IEEE Transactions on Information Forensics and Security.

Selected recent papers authored by or including Zhang are:

  • CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • GDroid: Android malware detection and classification with graph convolutional network, 2021, Computers & Security
  • Protecting Celebrities from DeepFake with Identity Consistency Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Model Intellectual Property Protection via Deep Watermarking, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Model Watermarking for Image Processing Networks, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

  • Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption

    Kede Ma;Weiming Zhang;Xianfeng Zhao;Nenghai Yu

  • Multi-attentional Deepfake Detection

    Hanqing Zhao;Tianyi Wei;Wenbo Zhou;Weiming Zhang

  • Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain

    Honggu Liu;Xiaodan Li;Wenbo Zhou;Yuefeng Chen

  • Reversibility improved data hiding in encrypted images

    Weiming Zhang;Kede Ma;Nenghai Yu

  • Efficient Reversible Data Hiding Based on Multiple Histograms Modification

    Xiaolong Li;Weiming Zhang;Xinlu Gui;Bin Yang

  • A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification

    Xiaolong Li;Weiming Zhang;Xinlu Gui;Bin Yang

  • Recursive Histogram Modification: Establishing Equivalency Between Reversible Data Hiding and Lossless Data Compression

    Weiming Zhang;Xiaocheng Hu;Xiaolong Li;Nenghai Yu

  • On the fault-tolerant performance for a class of robust image steganography

    Yi Zhang;Chuan Qin;Weiming Zhang;Fenlin Liu

  • GDroid: Android malware detection and classification with graph convolutional network

    Han Gao;Shaoyin Cheng;Weiming Zhang

  • MBRS: Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression

    Zhaoyang Jia;Han Fang;Weiming Zhang

  • Improving Various Reversible Data Hiding Schemes Via Optimal Codes for Binary Covers

    Weiming Zhang;Biao Chen;Nenghai Yu

  • Reversible Data Hiding in Encrypted Images by Reversible Image Transformation

    Weiming Zhang;Hui Wang;Dongdong Hou;Nenghai Yu

  • DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense

    Hang Zhou;Kejiang Chen;Weiming Zhang;Han Fang

  • Screen-Shooting Resilient Watermarking

    Han Fang;Weiming Zhang;Hang Zhou;Hao Cui

  • Separable Reversible Data Hiding in Encrypted JPEG Bitstreams

    Zhenxing Qian;Hang Zhou;Xinpeng Zhang;Weiming Zhang

  • Reversible Data Hiding in Encrypted Three-Dimensional Mesh Models

    Ruiqi Jiang;Hang Zhou;Weiming Zhang;Nenghai Yu

  • A Double Layered “Plus-Minus One” Data Embedding Scheme

    Weiming Zhang;Xinpeng Zhang;Shuozhong Wang

  • Improving Embedding Efficiency of Covering Codes for Applications in Steganography

    Weiming Zhang;Shuozhong Wang;Xinpeng Zhang

  • Reversible data hiding in JPEG image based on DCT frequency and block selection

    Dongdong Hou;Haoqian Wang;Weiming Zhang;Nenghai Yu

  • Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View

    Jiayang Liu;Weiming Zhang;Yiwei Zhang;Dongdong Hou

  • Decomposing Joint Distortion for Adaptive Steganography

    Weiming Zhang;Zhuo Zhang;Lili Zhang;Hanyi Li

  • Minimum Rate Prediction and Optimized Histograms Modification for Reversible Data Hiding

    Xiaocheng Hu;Weiming Zhang;Xiaolong Li;Nenghai Yu

Frequent Co-Authors

Xinpeng Zhang
Xinpeng Zhang Fudan University
Chuan Qin
Chuan Qin University of Shanghai for Science and Technology
Nenghai Yu
Nenghai Yu University of Science and Technology of China
Gang Hua
Gang Hua Dolby (United States)
Shuozhong Wang
Shuozhong Wang Shanghai University
Lu Yuan
Lu Yuan Microsoft (United States)
Kede Ma
Kede Ma City University of Hong Kong
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Baining Guo
Baining Guo Microsoft (United States)
Ping Luo
Ping Luo University of Hong Kong

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