Yang Wu
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Safety, Risk, Reliability and Quality top 5%
- Aerospace Engineering
- Co-authors
- Michihiko MinohMasayuki MukunokiZhengkai JiangChengjie WangYing TaiYabiao WangFan YangNanning Zheng
- Topics
- Video Surveillance and Tracking Methods (28 papers)Human Pose and Action Recognition (25 papers)Advanced Image and Video Retrieval Techniques (20 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yang Wu
68 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 312
- Biomedical Engineering 230
- Safety, Risk, Reliability and Quality 82
- Aerospace Engineering 74
Countries citing papers authored by Yang Wu
This map shows the geographic impact of Yang Wu'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 Yang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Wu more than expected).
Fields of papers citing papers by Yang Wu
This network shows the impact of papers produced by Yang Wu. 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 Yang Wu. The network helps show where Yang Wu may publish in the future.
Co-authorship network of co-authors of Yang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yang Wu. A scholar is included among the top collaborators of Yang Wu 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 Yang Wu. Yang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 78 | |
| 13 | 12 | |
| 14 | Rethinking Counting and Localization in Crowds: A Purely Point-Based Frameworkbreakdown → | 198 |
| 15 | 19 | |
| 16 | 13 | |
| 17 | 24 | |
| 18 | 98 | |
| 19 | Robust object recognition via third-party collaborative representation | 9 |
| 20 | An Improved Network Intrusion Detection Method based on VQ-SVM. | 1 |
About Yang Wu
Yang Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Artificial Intelligence, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (28 papers), Human Pose and Action Recognition (25 papers) and Advanced Image and Video Retrieval Techniques (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computational Mathematics (14 citations) and Artificial Intelligence (312 citations). Yang Wu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Michihiko Minoh, Masayuki Mukunoki, Zhengkai Jiang, Chengjie Wang, Ying Tai, Yabiao Wang, Fan Yang, Nanning Zheng, Satoshi Nakamura and Sakriani Sakti. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.
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.