World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

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

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
Yongzhen Huang
Yongzhen Huang Chinese Academy of Sciences
George F. Gao
George F. Gao Chinese Center For Disease Control and Prevention
Ran He
Ran He Chinese Academy of Sciences
Suresh G. Advani
Suresh G. Advani University of Delaware
Yuhai Bi
Yuhai Bi Chinese Academy of Sciences
Christopher Leckie
Christopher Leckie University of Melbourne
Weiming Hu
Weiming Hu Chinese Academy of Sciences
Yi-Zhe Song
Yi-Zhe Song University of Surrey

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