Haizhou Ai
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Signal Processing top 5%
- Aerospace Engineering top 10%
- Media Technology top 2%
- Topics
- Video Surveillance and Tracking Methods (52 papers)Face and Expression Recognition (40 papers)Face recognition and analysis (37 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Haizhou Ai
95 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 2.3k
- Artificial Intelligence 548
- Signal Processing 189
- Aerospace Engineering 189
- Media Technology 141
Countries citing papers authored by Haizhou Ai
This map shows the geographic impact of Haizhou Ai'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 Haizhou Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haizhou Ai more than expected).
Fields of papers citing papers by Haizhou Ai
This network shows the impact of papers produced by Haizhou Ai. 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 Haizhou Ai. The network helps show where Haizhou Ai may publish in the future.
Co-authorship network of co-authors of Haizhou Ai
This figure shows the co-authorship network connecting the top 25 collaborators of Haizhou Ai. A scholar is included among the top collaborators of Haizhou Ai 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 Haizhou Ai. Haizhou Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | 39 | |
| 3 | ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection | 1 |
| 4 | 1 | |
| 5 | 135 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 45 | |
| 11 | 2 | |
| 12 | 49 | |
| 13 | 105 | |
| 14 | 22 | |
| 15 | 233 | |
| 16 | 38 | |
| 17 | 1 | |
| 18 | 23 | |
| 19 | 2 | |
| 20 | Video Based Face Recognition By Support Vector Machines. | 2 |
About Haizhou Ai
Haizhou Ai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 99 papers that have together received 2.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (52 papers), Face and Expression Recognition (40 papers) and Face recognition and analysis (37 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Human-Computer Interaction (121 citations) and Signal Processing (189 citations). Haizhou Ai has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shihong Lao, Chang Huang, Junliang Xing, Bo Wu, Chang Huang, Takayoshi Yamashita, Bo Bai, Yuan Li, Yuan Li and Guangyou Xu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.
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.