World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
12352
World Ranking
6081
National Ranking
189

Wanqing Li 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 Wanqing Li 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: 261 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Wanqing Li 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 Wanqing Li 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Wanqing Li is affiliated with the University of Wollongong in Australia and has produced extensive research in the fields of computer science, engineering, and medicine. Their work spans multiple subfields, with significant contributions to computer vision and pattern recognition, biomedical engineering, artificial intelligence, electrical and electronic engineering, and molecular biology.

The primary topics addressed in Wanqing Li's research include human pose and action recognition, gait recognition and analysis, anomaly detection techniques and applications, hand gesture recognition systems, multimodal machine learning applications, advanced vision and imaging, and flood risk assessment and management.

  • Human Pose and Action Recognition
  • Gait Recognition and Analysis
  • Anomaly Detection Techniques and Applications
  • Hand Gesture Recognition Systems
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Flood Risk Assessment and Management

Wanqing Li has published 160 papers in computer science, 132 in engineering, and 117 in medicine, indicating a multidisciplinary research profile. Their frequent publication venues include arXiv (Cornell University), SSRN Electronic Journal, PubMed, IEEE Transactions on Circuits and Systems for Video Technology, and Research Square.

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • PubMed
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Research Square

Wanqing Li has collaborated extensively with several researchers, with multiple co-authorships reflecting ongoing research partnerships. Frequent co-authors include Yonghong Hou, Pichao Wang, Chuankun Li, Mingliang Xu, and Zhimin Gao.

  • Yonghong Hou
  • Pichao Wang
  • Chuankun Li
  • Mingliang Xu
  • Zhimin Gao

Recent publications by Wanqing Li demonstrate engagement with topics crossing biomedical and computer vision domains. Selected papers include:

  • LncRNA OIP5-AS1 inhibits ferroptosis in prostate cancer with long-term cadmium exposure through miR-128-3p/SLC7A11 signaling, 2021, Ecotoxicology and Environmental Safety
  • SDDNet: A Fast and Accurate Network for Surface Defect Detection, 2021, IEEE Transactions on Instrumentation and Measurement
  • Trear: Transformer-Based RGB-D Egocentric Action Recognition, 2021, IEEE Transactions on Cognitive and Developmental Systems
  • DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • How computer vision can facilitate flood management: A systematic review, 2021, International Journal of Disaster Risk Reduction

Best Publications

  • Action recognition based on a bag of 3D points

    Wanqing Li;Zhengyou Zhang;Zicheng Liu

  • Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

    Shuai Li;Wanqing Li;Chris Cook;Ce Zhu

  • Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

    Jing Zhang;Wanqing Li;Philip Ogunbona

  • Importance Weighted Adversarial Nets for Partial Domain Adaptation

    Jing Zhang;Zewei Ding;Wanqing Li;Philip Ogunbona

  • RGB-D-based human motion recognition with deep learning: A survey

    Pichao Wang;Wanqing Li;Philip O Ogunbona;Jun Wan

  • Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks

    Yonghong Hou;Zhaoyang Li;Pichao Wang;Wanqing Li

  • Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks

    Pichao Wang;Zhaoyang Li;Yonghong Hou;Wanqing Li

  • Action Recognition From Depth Maps Using Deep Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Jing Zhang

  • RGB-D-based action recognition datasets

    Jing Zhang;Wanqing Li;Philip O. Ogunbona;Pichao Wang

  • Joint Distance Maps Based Action Recognition With Convolutional Neural Networks

    Chuankun Li;Yonghong Hou;Pichao Wang;Wanqing Li

  • Human detection from images and videos

    Duc Thanh Nguyen;Wanqing Li;Philip O. Ogunbona

  • Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks

    Unknown

  • Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures

    Wanqing Li;Zhengyou Zhang;Zicheng Liu

  • Skeleton-based action recognition using LSTM and CNN

    Chuankun Li;Pichao Wang;Shuang Wang;Yonghong Hou

  • Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

  • Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Yuyao Zhang

  • A Survey of Virtual Machine System: Current Technology and Future Trends

    Yunfa Li;Wanqing Li;Congfeng Jiang

  • A geometric approach to cluster validity for normal mixtures

    James C. Bezdek;Wanqing Li;Yianni Attikiouzel;Michael P. Windham

  • Robust unsupervised feature selection via dual self-representation and manifold regularization

    Chang Tang;Xinwang Liu;Miaomiao Li;Pichao Wang

  • ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

  • Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

Frequent Co-Authors

Philip Ogunbona
Philip Ogunbona University of Wollongong
Chang Tang
Chang Tang China University of Geosciences
Lei Wang
Lei Wang University of Wollongong
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Weiming Hu
Weiming Hu Chinese Academy of Sciences
Mingliang Xu
Mingliang Xu Zhengzhou University
Zicheng Liu
Zicheng Liu Microsoft (United States)
Ce Zhu
Ce Zhu University of Electronic Science and Technology of China
Dinei Florencio
Dinei Florencio Microsoft (United States)
Xinwang Liu
Xinwang Liu National University of Defense Technology

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