Hanzi Wang
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- Video Surveillance and Tracking Methods 75
- Advanced Image and Video Retrieval Techniques 43
- Advanced Vision and Imaging 39
- Advanced Neural Network Applications 38
- Face and Expression Recognition 33
- Face recognition and analysis 29
- Human Pose and Action Recognition 25
- Media Technology top 1%
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications 25
- Aerospace Engineering top 2%
Hanzi Wang
194 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 3.0k
- Media Technology 309
- Artificial Intelligence 781
- Experimental and Cognitive Psychology 298
- Aerospace Engineering 448
Countries citing papers authored by Hanzi Wang
This map shows the geographic impact of Hanzi Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hanzi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanzi Wang more than expected).
Fields of papers citing papers by Hanzi Wang
This network shows the impact of papers produced by Hanzi Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hanzi Wang. The network helps show where Hanzi Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hanzi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 54 | |
| 15 | 2020 | 71 | |
| 16 | 2020 | 37 | |
| 17 | 2019 | 8 | |
| 18 | 2019 | 32 | |
| 19 | 2017 | 6 | |
| 20 | Matting-driven online learning of Hough forests for object tracking | 2012 | 1 |
About Hanzi Wang
Hanzi Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Experimental and Cognitive Psychology and Safety, Risk, Reliability and Quality, having authored 210 papers that have together received 3.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (75 papers), Advanced Image and Video Retrieval Techniques (43 papers), Advanced Vision and Imaging (39 papers), Advanced Neural Network Applications (38 papers), Face and Expression Recognition (33 papers), Face recognition and analysis (29 papers), Anomaly Detection Techniques and Applications (25 papers) and Human Pose and Action Recognition (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.0k citations), Media Technology (309 citations), Artificial Intelligence (781 citations), Experimental and Cognitive Psychology (298 citations) and Aerospace Engineering (448 citations). Hanzi Wang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include David Suter, Yan Yan, Chunhua Shen, Yukang Zhang, Si Chen, Tat-Jun Chin, Yang Lu, Jing‐Hao Xue, Konrad Schindler and Guobao Xiao. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, International Journal of Computer Vision, Neurocomputing and Pattern Recognition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.