Fengwei An
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 23
- Advanced Vision and Imaging 22
- Advanced Image Processing Techniques 11
- Advanced Neural Network Applications 8
- Image and Signal Denoising Methods 7
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- CCD and CMOS Imaging Sensors 26
- Co-authors
- Hans Jürgen Mattausch (23 shared papers)Xiangyu Zhang (14 shared papers)Tetsushi Koide (3 shared papers)Wei Zhang (2 shared papers)Canran Xu (1 shared paper)Xianglong Wang (6 shared papers)Lei Chen (3 shared papers)Hao Yu (4 shared papers)
In The Last Decade
Fengwei An
65 papers receiving 345 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 213
- Media Technology 61
- Hardware and Architecture 18
- Electrical and Electronic Engineering 137
- Artificial Intelligence 75
Countries citing papers authored by Fengwei An
This map shows the geographic impact of Fengwei An'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 Fengwei An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengwei An more than expected).
Fields of papers citing papers by Fengwei An
This network shows the impact of papers produced by Fengwei An. 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 Fengwei An. The network helps show where Fengwei An may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengwei An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 28 | |
| 2 | 2012 | 24 | |
| 3 | 2019 | 16 | |
| 4 | 2017 | 15 | |
| 5 | 2012 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2025 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2015 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2017 | 7 |
About Fengwei An
Fengwei An is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology, Artificial Intelligence and Hardware and Architecture, having authored 73 papers that have together received 356 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (26 papers), Advanced Image and Video Retrieval Techniques (23 papers), Advanced Vision and Imaging (22 papers), Image Processing Techniques and Applications (19 papers), Advanced Image Processing Techniques (11 papers), Advanced Neural Network Applications (8 papers), Neural Networks and Applications (8 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (213 citations), Media Technology (61 citations), Hardware and Architecture (18 citations), Electrical and Electronic Engineering (137 citations) and Artificial Intelligence (75 citations). Fengwei An has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Hans Jürgen Mattausch, Xiangyu Zhang, Tetsushi Koide, Wei Zhang, Canran Xu, Xianglong Wang, Lei Chen, Hao Yu, Peng Xu and Songlin Feng. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Circuits & Systems II Express Briefs, Japanese Journal of Applied Physics, Sensors and IEEE Access.
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.