Feng Cen
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Face and Expression Recognition
- Media Technology top 10%
Papers in
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- Advanced Neural Network Applications 4
- Advanced Data Compression Techniques 3
- Image and Video Quality Assessment 3
- Advanced Image and Video Retrieval Techniques 3
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- Video Coding and Compression Technologies 4
- Co-authors
- Guanghui Wang (5 shared papers)Wenchi Ma (1 shared paper)Yuanwei Wu (1 shared paper)Fanglai Zhu (4 shared papers)Weisheng Xu (1 shared paper)Ajay Sharda (1 shared paper)
- Journals
- IEEE Access (3 papers)IEEE Communications Letters (2 papers)Pattern Recognition (2 papers)Journal of Process Control (1 paper)IEEE Transactions on Cybernetics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Feng Cen
16 papers receiving 302 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 199
- Media Technology 32
- Artificial Intelligence 96
- Signal Processing 30
- Control and Systems Engineering 44
Countries citing papers authored by Feng Cen
This map shows the geographic impact of Feng Cen'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 Feng Cen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Cen more than expected).
Fields of papers citing papers by Feng Cen
This network shows the impact of papers produced by Feng Cen. 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 Feng Cen. The network helps show where Feng Cen may publish in the future.
Co-authors
The 6 scholars most cited alongside Feng Cen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 115 | |
| 2 | 2020 | 52 | |
| 3 | 2010 | 40 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 27 | |
| 6 | 2009 | 11 | |
| 7 | 2013 | 7 | |
| 8 | 2014 | 4 | |
| 9 | 2018 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2013 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2014 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2014 | 0 | |
| 18 | 2010 | 0 |
About Feng Cen
Feng Cen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 18 papers that have together received 308 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (4 papers), Advanced Neural Network Applications (4 papers), Error Correcting Code Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Wireless Communication Techniques (3 papers), Advanced Data Compression Techniques (3 papers), Image and Video Quality Assessment (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (199 citations), Media Technology (32 citations), Artificial Intelligence (96 citations), Signal Processing (30 citations) and Control and Systems Engineering (44 citations). Feng Cen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guanghui Wang, Wenchi Ma, Yuanwei Wu, Fanglai Zhu, Weisheng Xu and Ajay Sharda. Their work appears in journals such as IEEE Access, IEEE Communications Letters, Pattern Recognition, Journal of Process Control and IEEE Transactions on Cybernetics.
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.