Tse-Hsun Chen

2.2k total citations
70 papers, 1.4k citations indexed

About

Tse-Hsun Chen is a scholar working on Information Systems, Computer Networks and Communications and Software. According to data from OpenAlex, Tse-Hsun Chen has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Information Systems, 37 papers in Computer Networks and Communications and 27 papers in Software. Recurrent topics in Tse-Hsun Chen's work include Software Engineering Research (50 papers), Software System Performance and Reliability (35 papers) and Software Testing and Debugging Techniques (19 papers). Tse-Hsun Chen is often cited by papers focused on Software Engineering Research (50 papers), Software System Performance and Reliability (35 papers) and Software Testing and Debugging Techniques (19 papers). Tse-Hsun Chen collaborates with scholars based in Canada, United States and China. Tse-Hsun Chen's co-authors include Ahmed E. Hassan, Weiyi Shang, Heng Li, Stephen W. Thomas, Parminder Flora, Mohamed Nasser, Jinqiu Yang, Shaowei Wang, Shaowei Wang and Zhenhao Li and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Reliability and Journal of Systems and Software.

In The Last Decade

Tse-Hsun Chen

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tse-Hsun Chen Canada 25 1.1k 737 481 445 141 70 1.4k
Shaowei Wang Canada 21 1.4k 1.3× 278 0.4× 499 1.0× 566 1.3× 263 1.9× 57 1.6k
Naoyasu Ubayashi Japan 17 1.4k 1.4× 505 0.7× 1.0k 2.1× 443 1.0× 156 1.1× 109 1.6k
Ferdian Thung Singapore 26 1.5k 1.4× 464 0.6× 934 1.9× 474 1.1× 171 1.2× 64 1.8k
Fiorella Zampetti Italy 19 761 0.7× 233 0.3× 363 0.8× 258 0.6× 160 1.1× 40 1.0k
Raula Gaikovina Kula Japan 20 1.3k 1.2× 312 0.4× 436 0.9× 244 0.5× 405 2.9× 97 1.4k
Sarah Nadi Canada 19 1.0k 1.0× 410 0.6× 441 0.9× 563 1.3× 116 0.8× 66 1.3k
Takashi Ishio Japan 15 803 0.8× 300 0.4× 389 0.8× 193 0.4× 154 1.1× 88 951
Jens Grabowski Germany 16 734 0.7× 335 0.5× 609 1.3× 239 0.5× 52 0.4× 87 1.1k
David Bowes United Kingdom 21 2.1k 1.9× 629 0.9× 1.8k 3.7× 458 1.0× 97 0.7× 58 2.2k
Vincent J. Hellendoorn United States 15 812 0.8× 235 0.3× 535 1.1× 436 1.0× 58 0.4× 26 1.2k

Countries citing papers authored by Tse-Hsun Chen

Since Specialization
Citations

This map shows the geographic impact of Tse-Hsun 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 Tse-Hsun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tse-Hsun Chen more than expected).

Fields of papers citing papers by Tse-Hsun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tse-Hsun 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 Tse-Hsun Chen. The network helps show where Tse-Hsun Chen may publish in the future.

Co-authorship network of co-authors of Tse-Hsun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tse-Hsun Chen. A scholar is included among the top collaborators of Tse-Hsun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tse-Hsun Chen. Tse-Hsun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Tse-Hsun, et al.. (2025). Benchmarking Open-Source Large Language Models for Log Level Suggestion. 314–325. 1 indexed citations
2.
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Wang, Shaowei, et al.. (2024). Studying and recommending information highlighting in Stack Overflow answers. Information and Software Technology. 172. 107478–107478. 2 indexed citations
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Shihab, Emad, et al.. (2024). DVC in Open Source ML-development: The Action and the Reaction. 75–80. 1 indexed citations
6.
Wang, Shaowei, et al.. (2024). ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs. ACM Transactions on Software Engineering and Methodology. 34(4). 1–30. 1 indexed citations
7.
Liu, Wei, et al.. (2024). RPerf: Mining user reviews using topic modeling to assist performance testing: An industrial experience report. Journal of Systems and Software. 222. 112283–112283. 1 indexed citations
8.
Chen, Tse-Hsun, et al.. (2024). Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation. Proceedings of the ACM on software engineering.. 1(FSE). 1937–1959. 4 indexed citations
9.
Chen, Tse-Hsun, et al.. (2023). SLocator: Localizing the Origin of SQL Queries in Database-Backed Web Applications. IEEE Transactions on Software Engineering. 49(6). 3376–3390. 2 indexed citations
10.
Li, Zhenhao, Chuan Luo, Tse-Hsun Chen, et al.. (2023). Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. 830–842. 26 indexed citations
11.
Chen, Tse-Hsun, et al.. (2022). An empirical study on the challenges that developers encounter when developing Apache Spark applications. Journal of Systems and Software. 194. 111488–111488. 6 indexed citations
12.
Chen, Tse-Hsun, et al.. (2022). How Useful is Code Change Information for Fault Localization in Continuous Integration?. 1–12. 7 indexed citations
13.
Chen, Tse-Hsun, et al.. (2021). Demystifying the challenges and benefits of analyzing user-reported logs in bug reports. Empirical Software Engineering. 26(1). 16 indexed citations
14.
Wang, Shaowei, Daniel M. Germán, Tse-Hsun Chen, Yuan Tian, & Ahmed E. Hassan. (2021). Is reputation on Stack Overflow always a good indicator for users' expertise? No!. 614–618. 6 indexed citations
15.
Tsantalis, Nikolaos, et al.. (2021). Studying Test Annotation Maintenance in the Wild. 62–73. 17 indexed citations
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Li, Heng, Tse-Hsun Chen, Ahmed E. Hassan, Mohamed Nasser, & Parminder Flora. (2017). Adopting Autonomic Computing Capabilities in Existing Large-Scale Systems. International Conference on Software Engineering.
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Chen, Tse-Hsun, Weiyi Shang, Zhen Ming Jiang, et al.. (2014). Detecting performance anti-patterns for applications developed using object-relational mapping. 1001–1012. 94 indexed citations
20.
Chen, Tse-Hsun, Meiyappan Nagappan, Emad Shihab, & Ahmed E. Hassan. (2014). An empirical study of dormant bugs. 82–91. 57 indexed citations

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.

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