Guocan Feng
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Media Technology top 2%
- Human-Computer Interaction top 2%
- Topics
- Face and Expression Recognition (31 papers)Image Retrieval and Classification Techniques (13 papers)Face recognition and analysis (10 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Power Electronics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Guocan Feng
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 886
- Artificial Intelligence 242
- Signal Processing 158
- Media Technology 143
- Human-Computer Interaction 142
Countries citing papers authored by Guocan Feng
This map shows the geographic impact of Guocan Feng'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 Guocan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guocan Feng more than expected).
Fields of papers citing papers by Guocan Feng
This network shows the impact of papers produced by Guocan Feng. 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 Guocan Feng. The network helps show where Guocan Feng may publish in the future.
Co-authorship network of co-authors of Guocan Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Guocan Feng. A scholar is included among the top collaborators of Guocan Feng 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 Guocan Feng. Guocan Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | Research and Practice on Teaching Methods and Measures of Modern Engineering Graphics | 0 |
| 14 | intehweb.com Fruit Detachment and Classification Method for Strawberry Harvesting Robot | 1 |
| 15 | 8 | |
| 16 | 44 | |
| 17 | 8 | |
| 18 | 58 | |
| 19 | 112 | |
| 20 | 18 |
About Guocan Feng
Guocan Feng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (31 papers), Image Retrieval and Classification Techniques (13 papers) and Face recognition and analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (886 citations), Human-Computer Interaction (142 citations) and Media Technology (143 citations). Guocan Feng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pong C. Yuen, Jianmin Jiang, Weifu Chen, Y.-F. Liu, Jian Lai, Ling Huang, Jiaxin Cai, Xin Tang, Andrew J. Armstrong and Qianying Wang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Power Electronics.
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.