Lin Tan
Impact in
- Software top 0.05%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 0.05%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
- Software 47
- Software Testing and Debugging Techniques 38
- Software Reliability and Analysis Research 27
-
- Software Engineering Research 46
- Co-authors
- Song WangYuanyuan ZhouJinqiu YangThibaud LutellierDing YuanJaechang NamEdmund WongTian Jiang
- Journals
- IEEE Transactions on Software Engineering (4 papers)Empirical Software Engineering (4 papers)Journal of materials research/Pratt's guide to venture capital sources (2 papers)ACM SIGPLAN Notices (2 papers)ACM Transactions on Software Engineering and Methodology (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Lin Tan
80 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Software 2.9k
- Information Systems 3.8k
- Signal Processing 834
- Computer Networks and Communications 1.7k
- Artificial Intelligence 1.3k
Countries citing papers authored by Lin Tan
This map shows the geographic impact of Lin 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 Lin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Tan more than expected).
Fields of papers citing papers by Lin Tan
This network shows the impact of papers produced by Lin 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 Lin Tan. The network helps show where Lin Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin Tan, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 7 | |
| 5 | Impact of Code Language Models on Automated Program Repair Hit paper breakdown → | 2023 | 101 |
| 6 | 2023 | 8 | |
| 7 | Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training | 2021 | 11 |
| 8 | Proceedings of the 39th International Conference on Software Engineering: New Ideas and Emerging Results Track | 2017 | 4 |
| 9 | 2016 | 19 | |
| 10 | 2015 | 38 | |
| 11 | 2015 | 12 | |
| 12 | 2015 | 118 | |
| 13 | 2013 | 83 | |
| 14 | 2013 | 11 | |
| 15 | 2011 | 5 | |
| 16 | AutoISES: automatically inferring security specifications and detecting violations | 2008 | 54 |
| 17 | 2008 | 11 | |
| 18 | Equipment Failure Risk Analysis Based on Event Sequence Diagram | 2006 | 1 |
| 19 | 2006 | 211 | |
| 20 | End-to-end service fault diagnosis of computer networks based on Bayesian networks | 2005 | 1 |
About Lin Tan
Lin Tan is a scholar working on Software, Information Systems, Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 84 papers that have together received 4.9k indexed citations. Recurring topics across this work include Software Engineering Research (46 papers), Software Testing and Debugging Techniques (38 papers), Software Reliability and Analysis Research (27 papers), Software System Performance and Reliability (25 papers), Adversarial Robustness in Machine Learning (7 papers), Advanced Software Engineering Methodologies (7 papers), Advanced Malware Detection Techniques (7 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Software (2.9k citations), Information Systems (3.8k citations), Signal Processing (834 citations), Computer Networks and Communications (1.7k citations) and Artificial Intelligence (1.3k citations). Lin Tan has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Song Wang, Yuanyuan Zhou, Jinqiu Yang, Thibaud Lutellier, Ding Yuan, Jaechang Nam, Edmund Wong, Song Wang, Tian Jiang and Yuanyuan Zhou. Their work appears in journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering, Journal of materials research/Pratt's guide to venture capital sources, ACM SIGPLAN Notices and ACM Transactions on Software Engineering and Methodology.
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.