Fang Wen
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Co-authors
- Jian SunDong ChenXudong CaoJianmin BaoYichen WeiHao YangBaining GuoGang Hua
- Topics
- Face recognition and analysis (24 papers)Generative Adversarial Networks and Image Synthesis (16 papers)Energy Harvesting in Wireless Networks (15 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignSignal Processing
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Signal ProcessingOptics Letters
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fang Wen
110 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 5.5k
- Artificial Intelligence 1.4k
- Signal Processing 1.0k
- Computational Mechanics 497
- Computer Graphics and Computer-Aided Design 461
Countries citing papers authored by Fang Wen
This map shows the geographic impact of Fang Wen'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 Fang Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Wen more than expected).
Fields of papers citing papers by Fang Wen
This network shows the impact of papers produced by Fang Wen. 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 Fang Wen. The network helps show where Fang Wen may publish in the future.
Co-authorship network of co-authors of Fang Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Wen. A scholar is included among the top collaborators of Fang Wen 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 Fang Wen. Fang Wen 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 75 | |
| 16 | 2 | |
| 17 | 181 | |
| 18 | Power system oscillation mode analysis based on improved ITD algorithm | 0 |
| 19 | An integrated model for accurate shape alignment | 0 |
| 20 | ABRUPT STRONG CURRENTS OVER CONTINENTAL SLOPE OF NORTHERN SOUTH CHINA SEA | 7 |
About Fang Wen
Fang Wen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Statistical and Nonlinear Physics, having authored 125 papers that have together received 7.0k indexed citations. Recurring topics across this work include Face recognition and analysis (24 papers), Generative Adversarial Networks and Image Synthesis (16 papers) and Energy Harvesting in Wireless Networks (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.5k citations), Computer Graphics and Computer-Aided Design (461 citations) and Signal Processing (1.0k citations). Fang Wen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Sun, Dong Chen, Xudong Cao, Jianmin Bao, Yichen Wei, Hao Yang, Dong Chen, Baining Guo, Gang Hua and Lingzhi Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Optics Letters.
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.