Feng Chen
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 9
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- Distributed Sensor Networks and Detection Algorithms 11
- Advanced Data Storage Technologies 9
- Signal Processing top 2%
- Blind Source Separation Techniques 12
- Artificial Intelligence top 2%
- Target Tracking and Data Fusion in Sensor Networks 9
- Software top 5%
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- Advanced Adaptive Filtering Techniques 20
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- Complex Network Analysis Techniques 10
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- Advanced Image and Video Retrieval Techniques 9
- Co-authors
- Xiaodong ZhangDavid KoufatyTian LuoRubao LeeGrigore RoşuShukai DuanLidan WangTian Wang
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (6 papers)IEEE Access (4 papers)Neurocomputing (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Feng Chen
142 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Hardware and Architecture 432
- Computer Networks and Communications 1.3k
- Signal Processing 276
- Artificial Intelligence 648
- Software 72
Countries citing papers authored by Feng Chen
This map shows the geographic impact of Feng Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Chen more than expected).
Fields of papers citing papers by Feng Chen
This network shows the impact of papers produced by Feng Chen. 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 Chen. The network helps show where Feng Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Chen, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 4 | |
| 19 | 2019 | 12 | |
| 20 | 2011 | 209 |
About Feng Chen
Feng Chen is a scholar working on Computer Networks and Communications, Signal Processing, Hardware and Architecture, Computational Mechanics and Artificial Intelligence, having authored 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (20 papers), Blind Source Separation Techniques (12 papers), Distributed Sensor Networks and Detection Algorithms (11 papers), Complex Network Analysis Techniques (10 papers), Advanced Data Storage Technologies (9 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Parallel Computing and Optimization Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (432 citations), Computer Networks and Communications (1.3k citations), Signal Processing (276 citations), Artificial Intelligence (648 citations) and Software (72 citations). Feng Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaodong Zhang, David Koufaty, Xiaodong Zhang, Tian Luo, Rubao Lee, Grigore Roşu, Shukai Duan, Lidan Wang, Tian Wang and Xingyuan Wang. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Access, Neurocomputing, International Journal of Molecular Sciences and Signal 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.