Junjun Chen
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
- Anomaly Detection Techniques and Applications
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- Network Security and Intrusion Detection
Papers in
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- Internet Traffic Analysis and Secure E-voting 7
- Privacy-Preserving Technologies in Data 6
- Adversarial Robustness in Machine Learning 4
- Anomaly Detection Techniques and Applications 4
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- Network Security and Intrusion Detection 7
- Co-authors
- Shui Yu (5 shared papers)Di Wu (8 shared papers)Jiale Zhang (3 shared papers)Ying Zhao (4 shared papers)Bing Chen (1 shared paper)Jingwen Zhang (1 shared paper)Michael Blumenstein (4 shared papers)Yanqing Wang (1 shared paper)
In The Last Decade
Junjun Chen
22 papers receiving 539 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 377
- Computer Networks and Communications 134
- Health Informatics 7
- Signal Processing 54
- Computer Science Applications 22
Countries citing papers authored by Junjun Chen
This map shows the geographic impact of Junjun 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 Junjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Chen more than expected).
Fields of papers citing papers by Junjun Chen
This network shows the impact of papers produced by Junjun 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 Junjun Chen. The network helps show where Junjun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 120 | |
| 2 | 2019 | 110 | |
| 3 | 2020 | 86 | |
| 4 | 2016 | 50 | |
| 5 | 2020 | 46 | |
| 6 | 2021 | 40 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 24 | |
| 9 | 2019 | 12 | |
| 10 | 2020 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2019 | 1 |
About Junjun Chen
Junjun Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 26 papers that have together received 552 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (7 papers), Network Security and Intrusion Detection (7 papers), Privacy-Preserving Technologies in Data (6 papers), Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Malware Detection Techniques (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (377 citations), Computer Networks and Communications (134 citations), Health Informatics (7 citations), Signal Processing (54 citations) and Computer Science Applications (22 citations). Junjun Chen has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Shui Yu, Di Wu, Jiale Zhang, Ying Zhao, Bing Chen, Jingwen Zhang, Michael Blumenstein, Yanqing Wang, Mingqian Li and Chengwu Shi. Their work appears in journals such as BMJ Open, Advances in experimental medicine and biology, Composite Structures, Environmental Science and Pollution Research and Big Data Mining and Analytics.
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.