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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
96
Citations
40956
World Ranking
432
National Ranking
56

Liang 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 Liang 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: 639 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Liang 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 Liang 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: 96 D-Index — 97th percentile

97% 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
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Liang Wang is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the fields of Computer Science and Engineering, with 202 and 111 publications respectively. Their research spans several specialized subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering, and Atomic and Molecular Physics, and Optics.

The main research topics covered by Liang Wang's work include Biometric Identification and Security, Face Recognition and Analysis, Video Surveillance and Tracking Methods, Human Pose and Action Recognition, Quantum Information and Cryptography, Quantum Computing Algorithms and Architecture, and Anomaly Detection Techniques and Applications.

Frequent collaborators in Liang Wang's research include Zhenan Sun, Kunbo Zhang, Pei Zhang, Min Ren, and Caiyong Wang, reflecting ongoing partnerships within their scientific network.

Publications by Liang Wang have appeared predominantly in venues such as arXiv (Cornell University), IEEE Transactions on Information Forensics and Security, SSRN Electronic Journal, Machine Intelligence Research, and Research Square. These journals and repositories have published a substantial number of their works, indicating active engagement within the academic community.

Selected recent papers that highlight Liang Wang's research focus include:

  • Systematic Comparison of Two Animal-to-Human Transmitted Human Coronaviruses: SARS-CoV-2 and SARS-CoV, 2020, published in Viruses
  • Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition, 2020, published in IEEE Transactions on Information Forensics and Security
  • Pulmonary Vein Isolation With Optimized Linear Ablation vs Pulmonary Vein Isolation Alone for Persistent AF, 2024, published in JAMA
  • High-fidelity View Synthesis for Light Field Imaging With Extended Pseudo 4DCNN, 2020, published in IEEE Transactions on Computational Imaging
  • Guided by the goal of "double carbon", what is the carbon emission reduction effect of the promotion and application of green technology in China?, 2023, published in Environmental Research

Best Publications

  • A survey on visual surveillance of object motion and behaviors

    Weiming Hu;Tieniu Tan;Liang Wang;S. Maybank

  • Session-Based Recommendation with Graph Neural Networks

    Shu Wu;Yuyuan Tang;Yanqiao Zhu;Liang Wang

  • Hierarchical recurrent neural network for skeleton based action recognition

    Yong Du;Wei Wang;Liang Wang

  • Focal and Efficient IOU Loss for Accurate Bounding Box Regression

    Yi-Fan Zhang;Weiqiang Ren;Zhang Zhang;Zhen Jia

  • Silhouette analysis-based gait recognition for human identification

    Liang Wang;Tieniu Tan;Huazhong Ning;Weiming Hu

  • Recent developments in human motion analysis

    Liang Wang;Weiming Hu;Tieniu Tan

  • Predicting the next location: a recurrent model with spatial and temporal contexts

    Qiang Liu;Shu Wu;Liang Wang;Tieniu Tan

  • Graph Contrastive Learning with Adaptive Augmentation

    Yanqiao Zhu;Yichen Xu;Feng Yu;Qiang Liu

  • An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition

    Chenyang Si;Wentao Chen;Wei Wang;Liang Wang

  • Recent advances and trends in visual tracking: A review

    Hanxuan Yang;Ling Shao;Feng Zheng;Liang Wang

  • A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs

    Zifeng Wu;Yongzhen Huang;Liang Wang;Xiaogang Wang

  • Mask-Guided Contrastive Attention Model for Person Re-identification

    Chunfeng Song;Yan Huang;Wanli Ouyang;Liang Wang

  • Deep semantic ranking based hashing for multi-label image retrieval

    Fang Zhao;Yongzhen Huang;Liang Wang;Tieniu Tan

  • Fusion of static and dynamic body biometrics for gait recognition

    Liang Wang;Huazhong Ning;Tieniu Tan;Weiming Hu

  • Fusion of static and dynamic body biometrics for gait recognition

    Liang Wang;Huazhong Ning;Tieniu Tan;Weiming Hu

  • A Dynamic Recurrent Model for Next Basket Recommendation

    Feng Yu;Qiang Liu;Shu Wu;Liang Wang

  • Automatic gait recognition based on statistical shape analysis

    Liang Wang;Tieniu Tan;Weiming Hu;Huazhong Ning

  • Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks

    Kaihao Zhang;Yongzhen Huang;Yong Du;Liang Wang

  • A convolutional approach for misinformation identification

    Feng Yu;Qiang Liu;Shu Wu;Liang Wang

  • Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks

    Chunshui Cao;Xianming Liu;Yi Yang;Yinan Yu

  • Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks

    Hongsong Wang;Liang Wang

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Impact of hotel website quality on online booking intentions: eTrust as a mediator

    Liang Wang;Rob Law;Basak Denizci Guillet;Kam Hung

  • Deep Graph Contrastive Representation Learning.

    Yanqiao Zhu;Yichen Xu;Feng Yu;Qiang Liu

Frequent Co-Authors

Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Shu Wu
Shu Wu Chinese Academy of Sciences
Yan Huang
Yan Huang Chinese Academy of Sciences
Yongzhen Huang
Yongzhen Huang Chinese Academy of Sciences
Ran He
Ran He Chinese Academy of Sciences
George F. Gao
George F. Gao Chinese Center For Disease Control and Prevention
Ajay K. Prasad
Ajay K. Prasad University of Delaware
Suresh G. Advani
Suresh G. Advani University of Delaware
Yuhai Bi
Yuhai Bi Chinese Academy of Sciences
Christopher Leckie
Christopher Leckie University of Melbourne

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