World's Best Scientists 2026 revealed!
Jingdong Wang

Jingdong Wang

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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
91
Citations
51651
World Ranking
562
National Ranking
77

Jingdong Wang 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 Jingdong Wang 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: 271 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Jingdong Wang 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 Jingdong Wang 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: 91 D-Index — 96th percentile

96% 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 China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Jingdong Wang is affiliated with Baidu in China and has a significant publication record primarily in the fields of Computer Science and Engineering. Their research spans multiple subfields, with a strong concentration in Computer Vision and Pattern Recognition, as well as contributions to Artificial Intelligence, Aerospace Engineering, Signal Processing, and Computer Graphics and Computer-Aided Design.

The scientist's main topics of work include:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Video Surveillance and Tracking Methods

Frequent publication venues for Jingdong Wang include the following:

  • arXiv (Cornell University)
  • International Journal of Computer Vision
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among the recent papers authored or co-authored by Jingdong Wang are:

  • Deep High-Resolution Representation Learning for Visual Recognition, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • MMDetection: Open MMLab Detection Toolbox and Benchmark, 2024, arXiv (Cornell University)
  • Clinical characteristics of 145 patients with corona virus disease 2019 (COVID-19) in Taizhou, Zhejiang, China, 2020, Infection
  • Context Autoencoder for Self-supervised Representation Learning, 2023, International Journal of Computer Vision
  • OCNet: Object Context for Semantic Segmentation, 2021, International Journal of Computer Vision

Jingdong Wang's frequent co-authors include:

  • Errui Ding
  • Haocheng Feng
  • Guang Dai
  • Junyu Han
  • Jingtuo Liu

Best Publications

  • Deep High-Resolution Representation Learning for Human Pose Estimation

    Ke Sun;Bin Xiao;Dong Liu;Jingdong Wang

  • Scalable Person Re-identification: A Benchmark

    Liang Zheng;Liang Zheng;Liyue Shen;Lu Tian;Shengjin Wang

  • Deep High-Resolution Representation Learning for Visual Recognition

    Jingdong Wang;Ke Sun;Tianheng Cheng;Borui Jiang

  • Learning to Detect a Salient Object

    Tie Liu;Zejian Yuan;Jian Sun;Jingdong Wang

  • Learning to Detect A Salient Object

    Tie Liu;Jian Sun;Nan-Ning Zheng;Xiaoou Tang

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach

    Huaizu Jiang;Jingdong Wang;Zejian Yuan;Yang Wu

  • MARS: A Video Benchmark for Large-Scale Person Re-Identification

    Liang Zheng;Liang Zheng;Zhi Bie;Yifan Sun;Jingdong Wang

  • Object-Contextual Representations for Semantic Segmentation

    Yuhui Yuan;Xilin Chen;Jingdong Wang

  • Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

    Xiaokang Chen;Yuhui Yuan;Gang Zeng;Jingdong Wang

  • A Survey on Learning to Hash

    Jingdong Wang;Ting Zhang;Jingkuan Song;Nicu Sebe

  • HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

    Bowen Cheng;Bin Xiao;Jingdong Wang;Honghui Shi

  • Deeply-Learned Part-Aligned Representations for Person Re-identification

    Liming Zhao;Xi Li;Yueting Zhuang;Jingdong Wang

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • High-Resolution Representations for Labeling Pixels and Regions

    Ke Sun;Yang Zhao;Borui Jiang;Tianheng Cheng

  • OCNet: Object Context Network for Scene Parsing

    Yuhui Yuan;Jingdong Wang

  • Hashing for Similarity Search: A Survey

    Jingdong Wang;Heng Tao Shen;Jingkuan Song;Jianqiu Ji

  • DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

    Xi Li;Liming Zhao;Lina Wei;Ming-Hsuan Yang

  • Automatic Salient Object Segmentation Based on Context and Shape Prior

    Huaizu Jiang;Jingdong Wang;Zejian Yuan;Tie Liu

  • Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

    Zilong Huang;Xinggang Wang;Jiasi Wang;Wenyu Liu

  • Part-Aligned Bilinear Representations for Person Re-Identification

    Yumin Suh;Jingdong Wang;Siyu Tang;Tao Mei

  • Structured Knowledge Distillation for Semantic Segmentation

    Yifan Liu;Ke Chen;Chris Liu;Zengchang Qin

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach

    Jingdong Wang;Huaizu Jiang;Zejian Yuan;Ming-Ming Cheng

Frequent Co-Authors

Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Tao Mei
Tao Mei Jingdong (China)
Qi Tian
Qi Tian Huawei Technologies (China)
Gang Zeng
Gang Zeng Peking University
Guo-Jun Qi
Guo-Jun Qi Futurewei Technologies
Changshui Zhang
Changshui Zhang Tsinghua University
Long Quan
Long Quan Hong Kong University of Science and Technology
Lingxi Xie
Lingxi Xie Huawei Technologies (China)
Wenjun Zeng
Wenjun Zeng Microsoft (United States)

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