Boqi Chen
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Model-Driven Software Engineering Techniques
Papers in
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- Topic Modeling 5
- Natural Language Processing Techniques 3
- Advanced Graph Neural Networks 2
-
- Software Engineering Research 4
- Web Application Security Vulnerabilities 2
- Co-authors
- Dániel Varró (10 shared papers)Jin Zhang (1 shared paper)Li Yang (1 shared paper)Zhongming Li (1 shared paper)Zhi Wang (2 shared papers)Zhong‐Yuan Lu (1 shared paper)Yujing Yang (2 shared papers)Ningdong Feng (1 shared paper)
In The Last Decade
Boqi Chen
19 papers receiving 260 citations
Peers
Comparison fields: 5 of 101
- Software 43
- Medical Laboratory Technology 5
- Pollution 27
- Information Systems 43
- Health, Toxicology and Mutagenesis 26
Countries citing papers authored by Boqi Chen
This map shows the geographic impact of Boqi 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 Boqi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boqi Chen more than expected).
Fields of papers citing papers by Boqi Chen
This network shows the impact of papers produced by Boqi 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 Boqi Chen. The network helps show where Boqi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Boqi 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 39 | |
| 2 | 2023 | 33 | |
| 3 | 2015 | 32 | |
| 4 | 2023 | 27 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Boqi Chen
Boqi Chen is a scholar working on Artificial Intelligence, Information Systems, Software, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 22 papers that have together received 262 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Software Engineering Research (4 papers), Natural Language Processing Techniques (3 papers), Software Testing and Debugging Techniques (2 papers), Software Reliability and Analysis Research (2 papers), Web Application Security Vulnerabilities (2 papers), Advanced Graph Neural Networks (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Software (43 citations), Medical Laboratory Technology (5 citations), Pollution (27 citations), Information Systems (43 citations) and Health, Toxicology and Mutagenesis (26 citations). Boqi Chen has collaborated with scholars based in Canada, China and Sweden. Frequent co-authors include Dániel Varró, Jin Zhang, Li Yang, Zhongming Li, Zhi Wang, Zhong‐Yuan Lu, Yujing Yang, Ningdong Feng, Shiyang Zhang and Gunter Mussbacher. Their work appears in journals such as IEEE Transactions on Software Engineering, Environmental Science & Technology, European Journal of Pharmaceutical Sciences, Journal of environmental chemical engineering and Environmental Science and Ecotechnology.
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.