Haiyang Mei
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Aerospace Engineering
- Industrial and Manufacturing Engineering top 10%
- Geology top 10%
- Topics
- Visual Attention and Saliency Detection (8 papers)Image Enhancement Techniques (4 papers)Advanced Neural Network Applications (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Haiyang Mei
17 papers receiving 755 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 659
- Media Technology 140
- Aerospace Engineering 79
- Industrial and Manufacturing Engineering 59
- Geology 47
Countries citing papers authored by Haiyang Mei
This map shows the geographic impact of Haiyang Mei'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 Haiyang Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyang Mei more than expected).
Fields of papers citing papers by Haiyang Mei
This network shows the impact of papers produced by Haiyang Mei. 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 Haiyang Mei. The network helps show where Haiyang Mei may publish in the future.
Co-authorship network of co-authors of Haiyang Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Mei. A scholar is included among the top collaborators of Haiyang Mei 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 Haiyang Mei. Haiyang Mei 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 | 1 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 54 | |
| 11 | 62 | |
| 12 | 56 | |
| 13 | 50 | |
| 14 | Camouflaged Object Segmentation with Distraction Miningbreakdown → | 306 |
| 15 | 80 | |
| 16 | 13 | |
| 17 | 95 |
About Haiyang Mei
Haiyang Mei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 17 papers that have together received 780 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (8 papers), Image Enhancement Techniques (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (659 citations), Media Technology (140 citations) and Geology (47 citations). Haiyang Mei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin Yang, Xiaopeng Wei, Ziqi Wei, Deng-Ping Fan, Ge-Peng Ji, Qiang Zhang, Baocai Yin, Jiqing Zhang, Ke Xu and Yang Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision 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.