Xiaochen Li
- Software top 5%
- Software Testing and Debugging Techniques 14
- Software Reliability and Analysis Research 7
- Information Systems top 2%
- Software Engineering Research 27
- Web Data Mining and Analysis 5
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- Mobile Crowdsensing and Crowdsourcing 6
- Open Source Software Innovations 4
- Signal Processing top 10%
- Advanced Malware Detection Techniques 7
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- Software System Performance and Reliability 9
- Co-authors
- He JiangZhilei RenXin ChenSuixin LiuLingmei HuangJinding PuDongxing ZhaoYumin Zhou
- Journals
- IEEE Transactions on Software Engineering (8 papers)ACM Transactions on Software Engineering and Methodology (7 papers)IEEE Transactions on Reliability (3 papers)
- Partner nations
- ChinaUnited StatesLuxembourg
In The Last Decade
Xiaochen Li
53 papers receiving 621 citations
Peers
Comparison fields: 5 of 117
- Software 136
- Information Systems 282
- Health, Toxicology and Mutagenesis 157
- Computer Science Applications 52
- Signal Processing 66
Countries citing papers authored by Xiaochen Li
This map shows the geographic impact of Xiaochen Li'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 Xiaochen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Li more than expected).
Fields of papers citing papers by Xiaochen Li
This network shows the impact of papers produced by Xiaochen Li. 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 Xiaochen Li. The network helps show where Xiaochen Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaochen Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 18 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2018 | 24 | |
| 15 | 2018 | 37 | |
| 16 | 2018 | 43 | |
| 17 | 2016 | 202 | |
| 18 | 2016 | 1 | |
| 19 | 2015 | 22 | |
| 20 | 2012 | 4 |
About Xiaochen Li
Xiaochen Li is a scholar working on Software, Information Systems and Computer Science Applications, having authored 60 papers that have together received 635 indexed citations. Recurring topics across this work include Software Engineering Research (27 papers), Software Testing and Debugging Techniques (14 papers), Software System Performance and Reliability (9 papers), Software Reliability and Analysis Research (7 papers), Advanced Malware Detection Techniques (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Web Data Mining and Analysis (5 papers) and Open Source Software Innovations (4 papers). The work is most often cited by research in Software (136 citations), Information Systems (282 citations) and Health, Toxicology and Mutagenesis (157 citations). Xiaochen Li has collaborated with scholars based in China, United States and Luxembourg. Frequent co-authors include He Jiang, Zhilei Ren, Xin Chen, Suixin Liu, Lingmei Huang, Jinding Pu, Dongxing Zhao, Yumin Zhou, Pixin Ran and Shiliang Liu. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Reliability, ACM Transactions on Design Automation of Electronic Systems and Frontiers of Computer Science.
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.