Shin Hwei Tan

1.8k total citations · 2 hit papers
46 papers, 1.1k citations indexed

About

Shin Hwei Tan is a scholar working on Software, Information Systems and Signal Processing. According to data from OpenAlex, Shin Hwei Tan has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Software, 33 papers in Information Systems and 12 papers in Signal Processing. Recurrent topics in Shin Hwei Tan's work include Software Testing and Debugging Techniques (35 papers), Software Engineering Research (32 papers) and Software Reliability and Analysis Research (21 papers). Shin Hwei Tan is often cited by papers focused on Software Testing and Debugging Techniques (35 papers), Software Engineering Research (32 papers) and Software Reliability and Analysis Research (21 papers). Shin Hwei Tan collaborates with scholars based in China, Canada and Singapore. Shin Hwei Tan's co-authors include Abhik Roychoudhury, Jooyong Yi, Darko Marinov, Lin Tan, Gary T. Leavens, Sergey Mechtaev, Xiang Gao, Zhiyu Fan, Xiang Gao and Mukul R. Prasad and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Journal of Systems and Software and Zootaxa.

In The Last Decade

Shin Hwei Tan

41 papers receiving 1.1k citations

Hit Papers

Combining Graph-Based Learning With Automated Data Collec... 2020 2026 2022 2024 2020 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection
    2020 185 citations Guixin Ye, Zhanyong Tang et al. IEEE Transactions on Information Forensics and Security profile →
  2. Automated Repair of Programs from Large Language Models
    2023 133 citations Zhiyu Fan, Xiang Gao et al. National University of Singapore profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shin Hwei Tan China 15 805 763 330 207 190 46 1.1k
Laura Inozemtseva Canada 6 764 0.9× 789 1.0× 160 0.5× 175 0.8× 113 0.6× 7 984
Suvda Myagmar United States 6 645 0.8× 484 0.6× 305 0.9× 182 0.9× 131 0.7× 7 754
Yu‐Seung Ma South Korea 11 674 0.8× 1.0k 1.4× 227 0.7× 176 0.9× 97 0.5× 28 1.1k
Edward Aftandilian United States 12 464 0.6× 327 0.4× 140 0.4× 205 1.0× 202 1.1× 17 670
Taweesup Apiwattanapong United States 12 745 0.9× 753 1.0× 107 0.3× 289 1.4× 163 0.9× 16 902
Suzette Person United States 13 627 0.8× 824 1.1× 168 0.5× 165 0.8× 160 0.8× 40 1.0k
Jiasu Sun China 18 951 1.2× 711 0.9× 204 0.6× 331 1.6× 200 1.1× 33 1.1k
Chunqiu Steven Xia United States 8 357 0.4× 360 0.5× 104 0.3× 127 0.6× 171 0.9× 10 632
Thibaud Lutellier Canada 11 488 0.6× 398 0.5× 121 0.4× 218 1.1× 334 1.8× 13 745
Bowen Xu Singapore 15 554 0.7× 164 0.2× 111 0.3× 142 0.7× 404 2.1× 46 755

Countries citing papers authored by Shin Hwei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shin Hwei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin Hwei Tan. 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 Shin Hwei Tan. The network helps show where Shin Hwei Tan may publish in the future.

Co-authorship network of co-authors of Shin Hwei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shin Hwei Tan. A scholar is included among the top collaborators of Shin Hwei Tan 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 Shin Hwei Tan. Shin Hwei Tan 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
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Tian, Yongqiang, et al.. (2024). LPR: Large Language Models-Aided Program Reduction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 261–273. 5 indexed citations
4.
Sun, Hailong, et al.. (2024). Investigating and Detecting Silent Bugs in PyTorch Programs. 272–283. 2 indexed citations
5.
Pei, Yu, et al.. (2024). Understanding and Detecting Annotation-Induced Faults of Static Analyzers. Proceedings of the ACM on software engineering.. 1(FSE). 722–744. 3 indexed citations
6.
Lyu, Michael R., Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, & Patanamon Thongtanunam. (2024). Automatic Programming: Large Language Models and Beyond. ACM Transactions on Software Engineering and Methodology. 34(5). 1–33. 5 indexed citations
7.
Pei, Yu, et al.. (2024). Characterizing and Detecting Program Representation Faults of Static Analysis Frameworks. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1772–1784. 1 indexed citations
8.
Ye, Guixin, et al.. (2024). UPBEAT: Test Input Checks of Q# Quantum Libraries. Zenodo (CERN European Organization for Nuclear Research). 186–198.
9.
Tan, Shin Hwei, et al.. (2023). CrossFix: Resolution of GitHub issues via similar bugs recommendation. Journal of Software Evolution and Process. 36(4). 3 indexed citations
10.
11.
Fan, Zhiyu, Shin Hwei Tan, & Abhik Roychoudhury. (2023). Concept-Based Automated Grading of CS-1 Programming Assignments. 199–210. 2 indexed citations
12.
Tan, Shin Hwei, et al.. (2021). GitHub-OSS Fixit: Fixing Bugs at Scale in a Software Engineering Course. 1–10. 7 indexed citations
13.
Ye, Guixin, Zhanyong Tang, Shin Hwei Tan, et al.. (2020). Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection. IEEE Transactions on Information Forensics and Security. 16. 1943–1958. 185 indexed citations breakdown →
14.
Baudry, Benoît, et al.. (2018). A spoonful of DevOps helps the GI go down. 35–36. 1 indexed citations
15.
Gao, Xiang, Shin Hwei Tan, Zhen Dong, & Abhik Roychoudhury. (2018). Android testing via synthetic symbolic execution. 419–429. 28 indexed citations
16.
Tan, Shin Hwei, et al.. (2017). Codeflaws: a programming competition benchmark for evaluating automated program repair tools. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 180–182. 73 indexed citations
17.
Tan, Shin Hwei & Abhik Roychoudhury. (2015). relifix: Automated Repair of Software Regressions. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 471–482. 47 indexed citations
18.
Tan, Shin Hwei, Darko Marinov, Lin Tan, & Gary T. Leavens. (2012). @tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies. Journal of International Crisis and Risk Communication Research. 260–269. 133 indexed citations
19.
Daniel, Brett, Danny Dig, Tihomir Gvero, et al.. (2011). ReAssert. 1010–1012. 13 indexed citations
20.
Tan, Shin Hwei, et al.. (1999). Crabs of the family Parthenopidae (Crustacea: Decapoda: Brachyura) from Taiwan. National University of Singapore. 9 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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