World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7528
World Ranking
8004
National Ranking
1049

Jinqiao 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 Jinqiao 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: 349 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Jinqiao 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 Jinqiao 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Jinqiao Wang is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on computer science, with a significant emphasis on computer vision and pattern recognition. They have also contributed to fields including artificial intelligence, biomedical engineering, radiology, nuclear medicine, and imaging, as well as neurology.

Their work covers several specialized topics, including:

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

Jinqiao Wang has published extensively in well-known venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Neurocomputing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal
  • Dose-Response

Some of their recent papers highlight a range of interdisciplinary research areas and advancements:

  • "Nanoparticle-Based Drug Delivery System: A Patient-Friendly Chemotherapy for Oncology," 2020, Dose-Response
  • "AAformer: Auto-Aligned Transformer for Person Re-Identification," 2023, IEEE Transactions on Neural Networks and Learning Systems
  • "High-Performance Discriminative Tracking with Transformers," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models," 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Inkjet Printed Physically-Unclonable Structural-Color Anticounterfeiting Labels with Convenient Artificial Intelligence Authentication," 2021, Advanced Materials Interfaces

Jinqiao Wang has collaborated with numerous researchers, with frequent co-authors including:

  • Ming Tang
  • Yingying Chen
  • Guibo Zhu
  • Yousong Zhu
  • Chaoyang Zhao

Best Publications

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Identity-Guided Human Semantic Parsing for Person Re-Identification

    Kuan Zhu;Haiyun Guo;Zhiwei Liu;Ming Tang

  • CoupleNet: Coupling Global Structure with Local Parts for Object Detection

    Yousong Zhu;Chaoyang Zhao;Jinqiao Wang;Xu Zhao

  • Attention CoupleNet: Fully Convolutional Attention Coupling Network for Object Detection

    Yousong Zhu;Chaoyang Zhao;Haiyun Guo;Jinqiao Wang

  • AAformer: Auto-Aligned Transformer for Person Re-Identification.

    Kuan Zhu;Haiyun Guo;Shiliang Zhang;Yaowei Wang

  • The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

    Michael Felsberg;Amanda Berg;Gustav Hager;Jorgen Ahlberg

  • Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification.

    Haiyun Guo;Chaoyang Zhao;Zhiwei Liu;Jinqiao Wang

  • Real-Time Probabilistic Covariance Tracking With Efficient Model Update

    Yi Wu;Jian Cheng;Jinqiao Wang;Hanqing Lu

  • High-Performance Discriminative Tracking With Transformers

    Bin Yu;Ming Tang;Linyu Zheng;Guibo Zhu

  • Sparse representation for robust abnormality detection in crowded scenes

    Xiaobin Zhu;Xiaobin Zhu;Jing Liu;Jinqiao Wang;Changsheng Li

  • Multi-View 3D Object Retrieval With Deep Embedding Network

    Haiyun Guo;Jinqiao Wang;Yue Gao;Jianqiang Li

  • Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification

    Haiyun Guo;Kuan Zhu;Ming Tang;Jinqiao Wang

  • Improving Multiple Object Tracking with Single Object Tracking

    Linyu Zheng;Ming Tang;Yingying Chen;Guibo Zhu

  • Pixelwise Deep Sequence Learning for Moving Object Detection

    Yingying Chen;Jinqiao Wang;Bingke Zhu;Ming Tang

  • Segmentation, categorization, and identification of commercial clips from TV streams using multimodal analysis

    Ling-Yu Duan;Jinqiao Wang;Yantao Zheng;Jesse S. Jin

  • Adaptive Class Suppression Loss for Long-Tail Object Detection

    Tong Wang;Yousong Zhu;Chaoyang Zhao;Wei Zeng

  • High-Speed Tracking with Multi-kernel Correlation Filters

    Ming Tang;Bin Yu;Fan Zhang;Jinqiao Wang

  • DPT: Deformable Patch-based Transformer for Visual Recognition.

    Zhiyang Chen;Yousong Zhu;Chaoyang Zhao;Guosheng Hu

  • Learning sharable models for robust background subtraction

    Yingying Chen;Jinqiao Wang;Hanqing Lu

  • Reading scene text with fully convolutional sequence modeling

    Yunze Gao;Yingying Chen;Jinqiao Wang;Ming Tang

  • Real-time visual tracking via Incremental Covariance Tensor Learning

    Yi Wu;Jian Cheng;Jinqiao Wang;Hanqing Lu

  • Learning Feature Embeddings for Discriminant Model Based Tracking

    Linyu Zheng;Ming Tang;Yingying Chen;Jinqiao Wang

Frequent Co-Authors

Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Jing Liu
Jing Liu Chinese Academy of Sciences
Ling-Yu Duan
Ling-Yu Duan Peking University
Min Xu
Min Xu University of Technology Sydney
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Jian Cheng
Jian Cheng Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Jianlong Fu
Jianlong Fu Microsoft (United States)
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology

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