Wu Liu
- Computer Vision and Pattern Recognition top 0.2%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Human-Computer Interaction top 2%
- Topics
- Human Pose and Action Recognition (54 papers)Video Surveillance and Tracking Methods (45 papers)Advanced Image and Video Retrieval Techniques (18 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceEnvironmental PollutionChemosphere
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wu Liu
127 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 2.9k
- Biomedical Engineering 811
- Artificial Intelligence 750
- Media Technology 279
- Human-Computer Interaction 224
Countries citing papers authored by Wu Liu
This map shows the geographic impact of Wu Liu'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 Wu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Liu more than expected).
Fields of papers citing papers by Wu Liu
This network shows the impact of papers produced by Wu Liu. 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 Wu Liu. The network helps show where Wu Liu may publish in the future.
Co-authorship network of co-authors of Wu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Wu Liu. A scholar is included among the top collaborators of Wu Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wu Liu. Wu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 40 | |
| 15 | 35 | |
| 16 | FastReID: A Pytorch Toolbox for Real-world Person Re-identification | 13 |
| 17 | 116 | |
| 18 | 90 | |
| 19 | Peak cycle stress analysis of plain dent on pipeline based on FE calculation | 3 |
| 20 | Exploration of an Index Model of Passenger Satisfaction on Urban Transit Services | 2 |
About Wu Liu
Wu Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 139 papers that have together received 3.5k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (54 papers), Video Surveillance and Tracking Methods (45 papers) and Advanced Image and Video Retrieval Techniques (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Human-Computer Interaction (224 citations) and Media Technology (279 citations). Wu Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Huadóng Ma, Xinchen Liu, Tao Mei, Huiyuan Fu, Tao Mei, Lingxiao He, Qian Bao, Yu Sun, Chenggang Yan and Yili Fu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Environmental Pollution and Chemosphere.
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.