Junfu Chen
Impact in
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Signal Processing top 10%
Papers in
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- Anomaly Detection Techniques and Applications 6
- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 3
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- Robotic Path Planning Algorithms 2
- Co-authors
- Dechang Pi (22 shared papers)Yang Chen (9 shared papers)Xiaodong Zhao (3 shared papers)Zhiyuan Wu (1 shared paper)Yue Xu (5 shared papers)Wang Bi (6 shared papers)Yue Pan (3 shared papers)Qiang Zhang (1 shared paper)
In The Last Decade
Junfu Chen
30 papers receiving 538 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 279
- Signal Processing 61
- Statistical and Nonlinear Physics 53
- Safety, Risk, Reliability and Quality 28
- Computer Networks and Communications 74
Countries citing papers authored by Junfu Chen
This map shows the geographic impact of Junfu 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 Junfu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfu Chen more than expected).
Fields of papers citing papers by Junfu Chen
This network shows the impact of papers produced by Junfu 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 Junfu Chen. The network helps show where Junfu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfu 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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2020 | 71 | |
| 3 | 2021 | 62 | |
| 4 | 2022 | 44 | |
| 5 | 2020 | 36 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 32 | |
| 8 | 2021 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2023 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2013 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 6 |
About Junfu Chen
Junfu Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 36 papers that have together received 556 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Image Fusion Techniques (3 papers), Topic Modeling (3 papers), Remote-Sensing Image Classification (3 papers), Data-Driven Disease Surveillance (3 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (279 citations), Signal Processing (61 citations), Statistical and Nonlinear Physics (53 citations), Safety, Risk, Reliability and Quality (28 citations) and Computer Networks and Communications (74 citations). Junfu Chen has collaborated with scholars based in China, Egypt and Germany. Frequent co-authors include Dechang Pi, Yang Chen, Xiaodong Zhao, Zhiyuan Wu, Yue Xu, Wang Bi, Yue Pan, Zhiyuan Wu, Qiang Zhang and Ali Wagdy Mohamed. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Automation Science and Engineering, Measurement, IEEE Transactions on Network and Service Management and Neural Computing and Applications.
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.