Fan Zhou
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Organizational Behavior and Human Resource Management top 10%
- Sociology and Political Science
- Strategy and Management
- Topics
- Domain Adaptation and Few-Shot Learning (15 papers)Multimodal Machine Learning Applications (12 papers)Human Pose and Action Recognition (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionOrganizational Behavior and Human Resource ManagementArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors and Actuators B Chemical
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fan Zhou
63 papers receiving 515 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 176
- Artificial Intelligence 141
- Organizational Behavior and Human Resource Management 77
- Sociology and Political Science 64
- Strategy and Management 46
Countries citing papers authored by Fan Zhou
This map shows the geographic impact of Fan Zhou'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 Fan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Zhou more than expected).
Fields of papers citing papers by Fan Zhou
This network shows the impact of papers produced by Fan Zhou. 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 Fan Zhou. The network helps show where Fan Zhou may publish in the future.
Co-authorship network of co-authors of Fan Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Fan Zhou. A scholar is included among the top collaborators of Fan Zhou 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 Fan Zhou. Fan Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | Accelerating pairwise statistical significance estimation using NUMA machine | 4 |
| 19 | 3 | |
| 20 | Constructing Validity of SCL 90 Applied to Chinese Non-Clinical Population | 1 |
About Fan Zhou
Fan Zhou is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 71 papers that have together received 531 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (15 papers), Multimodal Machine Learning Applications (12 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (176 citations), Organizational Behavior and Human Resource Management (77 citations) and Artificial Intelligence (141 citations). Fan Zhou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kwok Leung, Lin Lü, Boyu Wang, Changjian Shui, Brahim Chaib-draa, Fuli Li, Zhigang Jiang, Hua Zhang, Ruomei Wang and Zhuo Su. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors and Actuators B Chemical.
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.