World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
12352
World Ranking
6080
National Ranking
188

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
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
Ling Guan
Ling Guan Toronto Metropolitan University

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