Chaowei Fang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Aerospace Engineering
- Topics
- Domain Adaptation and Few-Shot Learning (10 papers)Advanced Neural Network Applications (7 papers)Machine Learning and Data Classification (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACS Applied Materials & InterfacesIEEE Transactions on Image Processing
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Chaowei Fang
42 papers receiving 544 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 380
- Artificial Intelligence 187
- Radiology, Nuclear Medicine and Imaging 104
- Media Technology 80
- Aerospace Engineering 43
Countries citing papers authored by Chaowei Fang
This map shows the geographic impact of Chaowei Fang'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 Chaowei Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaowei Fang more than expected).
Fields of papers citing papers by Chaowei Fang
This network shows the impact of papers produced by Chaowei Fang. 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 Chaowei Fang. The network helps show where Chaowei Fang may publish in the future.
Co-authorship network of co-authors of Chaowei Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Chaowei Fang. A scholar is included among the top collaborators of Chaowei Fang 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 Chaowei Fang. Chaowei Fang 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 36 | |
| 18 | 0 | |
| 19 | 33 | |
| 20 | 17 |
About Chaowei Fang
Chaowei Fang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 50 papers that have together received 554 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (7 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (380 citations), Media Technology (80 citations) and Artificial Intelligence (187 citations). Chaowei Fang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Dingwen Zhang, Guanbin Li, Junwei Han, Lechao Cheng, Yizhou Yu, Jungong Han, Qiang Zhang, Liang Wang, Gangming Zhao and Zicheng Liao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Applied Materials & Interfaces and IEEE Transactions on Image Processing.
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.