2026 Hanzi Wang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7712	7490	1020	1014	212	5772

Hanzi 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 Hanzi Wang sits on this spectrum.

32 publications 991+

This scientist: 212 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Hanzi 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 Hanzi Wang sits on this spectrum.

30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Hanzi Wang is affiliated with Xiamen University in China and has a research focus primarily within the field of Computer Science, with significant contributions to Computer Vision and Pattern Recognition, Artificial Intelligence, and related subfields. Their work spans various aspects of video surveillance, neural networks, human action recognition, and emotion analysis.

Their research output includes numerous publications in prominent venues, reflecting an emphasis on intelligent transportation systems, video technology, and affective computing. Representative recent papers include:

Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes (2020, IEEE Transactions on Intelligent Transportation Systems)
Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification (2020, IEEE Transactions on Circuits and Systems for Video Technology)
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features (2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence)
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes (2021, IEEE Transactions on Circuits and Systems for Video Technology)
Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification (2020, IEEE Transactions on Affective Computing)

Wang has coauthored extensively with several researchers, notably Yan Yan, Yang Lu, Jing-Hao Xue, Zhanyu Ma, and Wei-Shi Zheng. These collaborations highlight strong research networks in the fields of vision and AI technologies.

Their frequent publication venues include:

arXiv (Cornell University)
IEEE Transactions on Circuits and Systems for Video Technology
International Journal of Computer Vision
IEEE Transactions on Image Processing
2022 IEEE International Conference on Image Processing (ICIP)

Wang's research interests cover multiple topics, including:

Video Surveillance and Tracking Methods
Advanced Neural Network Applications
Human Pose and Action Recognition
Emotion and Mood Recognition
Advanced Image and Video Retrieval Techniques
Face Recognition and Analysis
Anomaly Detection Techniques and Applications

In addition to articles, Wang has contributed book publications with Springer Science+Business Media, focusing on Pattern Recognition and Computer Vision in 2023. These publications further complement their research dissemination activities.

Overall, the scientific contributions of Hanzi Wang reflect ongoing engagement with complex problems in video analysis, machine learning, and applied computer vision, supported by a broad scholarly network and participation in key academic forums across international venues.

Best Publications

Adaptive Object Tracking Based on an Effective Appearance Filter

Hanzi Wang;D. Suter;K. Schindler;Chunhua Shen

237
Citations
A consensus-based method for tracking: Modelling background scenario and foreground appearance

Hanzi Wang;David Suter

221
Citations
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

Delian Ruan;Yan Yan;Shenqi Lai;Zhenhua Chai

207
Citations
Robust adaptive-scale parametric model estimation for computer vision

H. Wang;D. Suter

196
Citations
Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification

Yukang Zhang;Yan Yan;Yang Lu;Hanzi Wang

185
Citations
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers

Hanzi Wang;Tat-Jun Chin;D. Suter

141
Citations
Robust fitting of multiple structures: The statistical learning approach

Tat-Jun Chin;Hanzi Wang;David Suter

136
Citations
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes

Genshun Dong;Yan Yan;Chunhua Shen;Hanzi Wang

134
Citations
Generalized Kernel-Based Visual Tracking

Chunhua Shen;Junae Kim;Hanzi Wang

122
Citations
Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking

Xi Li;A. Dick;Chunhua Shen;A. van den Hengel

118
Citations
MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation

Hanzi Wang;David Suter

115
Citations
A re-evaluation of mixture of Gaussian background modeling [video signal processing applications]

Hanzi Wang;D. Suter

112
Citations
Background Subtraction Based on a Robust Consensus Method

Hanzi Wang;D. Suter

111
Citations
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance

Hanzi Wang;David Suter

95
Citations
Linear discriminant analysis using rotational invariant L1 norm

Xi Li;Weiming Hu;Hanzi Wang;Zhongfei Zhang

89
Citations
Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification

Xiaokang Zhang;Yan Yan;Jing-Hao Xue;Yang Hua

89
Citations
A System for Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery

D. J. Mirota;H. Wang;R. H. Taylor;M. Ishii

82
Citations
Multi-label learning based deep transfer neural network for facial attribute classification

Ni Zhuang;Yan Yan;Si Chen;Hanzi Wang

79
Citations
A Generalized Kernel Consensus-Based Robust Estimator

Hanzi Wang;D. Mirota;G.D. Hager

77
Citations
Smooth foreground-background segmentation for video processing

Konrad Schindler;Hanzi Wang

74
Citations
Rapid target detection method based on convolutional neural network

Wang Hanzi;Guo Guanjun;Yan Yan

73
Citations

Frequent Co-Authors

Yan Yan Zhejiang University

David Suter Edith Cowan University

Chunhua Shen Zhejiang University

Tat-Jun Chin University of Adelaide

Konrad Schindler ETH Zurich

Xi Li Zhejiang University

Weiming Hu Chinese Academy of Sciences

Yanyun Qu Xiamen University

Bineng Zhong Guangxi Normal University

Jing-Hao Xue University College London

External Links

Personal website of Hanzi Wang

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