Chi Chen
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Software System Performance and Reliability 5
- Network Security and Intrusion Detection 4
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- Software Engineering Research 3
- Cloud Data Security Solutions 3
- Co-authors
- Jun Chen (1 shared paper)Zhenchang Xing (3 shared papers)Xin Peng (3 shared papers)Wenyun Zhao (3 shared papers)Jun Sun (3 shared papers)Yuting Yang (1 shared paper)Xin Wang (2 shared papers)Wei Gao (1 shared paper)
In The Last Decade
Chi Chen
26 papers receiving 251 citations
Chi Chen's Hit Papers
Peers
Comparison fields: 5 of 60
- Signal Processing 72
- Computer Networks and Communications 115
- Information Systems 86
- Artificial Intelligence 92
- Software 9
Countries citing papers authored by Chi Chen
This map shows the geographic impact of Chi 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 Chi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Chen more than expected).
Fields of papers citing papers by Chi Chen
This network shows the impact of papers produced by Chi 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 Chi Chen. The network helps show where Chi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 78 | |
| 2 | 2021 | 33 | |
| 3 | Can artificial intelligence technology reduce carbon emissions? A global perspective Hit paper breakdown → | 2025 | 25 |
| 4 | 2009 | 15 | |
| 5 | 2018 | 14 | |
| 6 | 2009 | 14 | |
| 7 | 2019 | 13 | |
| 8 | 2014 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2008 | 8 | |
| 11 | 2018 | 6 | |
| 12 | Server Transparent Query Authentication of Outsourced Database | 2010 | 6 |
| 13 | 2017 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2011 | 2 | |
| 20 | 2014 | 2 |
About Chi Chen
Chi Chen is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 268 indexed citations. Recurring topics across this work include Software System Performance and Reliability (5 papers), Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (4 papers), Network Security and Intrusion Detection (4 papers), Software Engineering Research (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Advanced Malware Detection Techniques (3 papers) and Cloud Data Security Solutions (3 papers). The work is most often cited by research in Signal Processing (72 citations), Computer Networks and Communications (115 citations), Information Systems (86 citations), Artificial Intelligence (92 citations) and Software (9 citations). Chi Chen has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Jun Chen, Zhenchang Xing, Xin Peng, Wenyun Zhao, Jun Sun, Yuting Yang, Xin Wang, Wei Gao, G. Cao and Sencun Zhu. Their work appears in journals such as Journal of Network and Computer Applications, IEEE Transactions on Software Engineering, Computers and Electronics in Agriculture, Computers & Security and Science China Information Sciences.
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.