Jiachi Chen
Impact in
- Information Systems top 0.5%
- Blockchain Technology Applications and Security
- Software Engineering Research
- Cybercrime and Law Enforcement Studies
- Spam and Phishing Detection
- Software top 5%
- Software Reliability and Analysis Research
Papers in
-
- Blockchain Technology Applications and Security 38
- Software Engineering Research 16
-
- Advanced Malware Detection Techniques 18
- Co-authors
- Xiapu Luo (19 shared papers)Ting Chen (16 shared papers)Xin Xia (10 shared papers)David Lo (11 shared papers)John Grundy (8 shared papers)Zihao Li (4 shared papers)Tao Zhang (8 shared papers)Xiaoqi Li (3 shared papers)
In The Last Decade
Jiachi Chen
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 59
- Information Systems 1.1k
- Software 149
- Signal Processing 276
- Management Information Systems 173
- Computer Networks and Communications 247
Countries citing papers authored by Jiachi Chen
This map shows the geographic impact of Jiachi 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 Jiachi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiachi Chen more than expected).
Fields of papers citing papers by Jiachi Chen
This network shows the impact of papers produced by Jiachi 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 Jiachi Chen. The network helps show where Jiachi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiachi 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2018 | 127 | |
| 3 | 2020 | 118 | |
| 4 | 2016 | 118 | |
| 5 | 2021 | 100 | |
| 6 | 2020 | 69 | |
| 7 | 2018 | 64 | |
| 8 | 2018 | 38 | |
| 9 | 2021 | 38 | |
| 10 | 2022 | 38 | |
| 11 | 2017 | 36 | |
| 12 | 2024 | 32 | |
| 13 | 2024 | 31 | |
| 14 | 2021 | 31 | |
| 15 | 2022 | 30 | |
| 16 | 2023 | 28 | |
| 17 | 2021 | 26 | |
| 18 | 2024 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2019 | 19 |
About Jiachi Chen
Jiachi Chen is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Management Information Systems, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (38 papers), Advanced Malware Detection Techniques (18 papers), Software Engineering Research (16 papers), FinTech, Crowdfunding, Digital Finance (10 papers), Software Testing and Debugging Techniques (6 papers), Security and Verification in Computing (6 papers), Auction Theory and Applications (5 papers) and Software System Performance and Reliability (5 papers). The work is most often cited by research in Information Systems (1.1k citations), Software (149 citations), Signal Processing (276 citations), Management Information Systems (173 citations) and Computer Networks and Communications (247 citations). Jiachi Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Xiapu Luo, Ting Chen, Xin Xia, David Lo, John Grundy, Zihao Li, Tao Zhang, Xiaoqi Li, Xiaosong Zhang and Yu-Xiao Zhu. Their work appears in journals such as IEEE Transactions on Software Engineering, Blockchain Research and Applications, ACM Transactions on Software Engineering and Methodology, Automated Software Engineering and Empirical Software Engineering.
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.