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 Engineering Research 47
- Software 47
- Software Testing and Debugging Techniques 38
- Software Reliability and Analysis Research 26
- Co-authors
- Song Wang (2 shared papers)Jinqiu Yang (8 shared papers)Yuanyuan Zhou (6 shared papers)Thibaud Lutellier (11 shared papers)Jaechang Nam (5 shared papers)Ding Yuan (6 shared papers)Edmund Wong (5 shared papers)Song Wang (6 shared papers)
- Journals
- Blood (5 papers)Empirical Software Engineering (4 papers)Scientific Reports (3 papers)Cancer Research (3 papers)Molecular Cell (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Lin Tan
174 papers receiving 8.0k citations
Lin Tan's Hit Papers
Peers
Comparison fields: 5 of 183
- Software 2.9k
- Information Systems 3.9k
- Signal Processing 849
- Computer Networks and Communications 1.7k
- Paleontology 469
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-authors
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
Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automatically learning semantic features for defect prediction Hit paper breakdown → | 2016 | 485 |
| 2 | KAT2A coupled with the α-KGDH complex acts as a histone H3 succinyltransferase Hit paper breakdown → | 2017 | 396 |
| 3 | 2020 | 395 | |
| 4 | Deep Semantic Feature Learning for Software Defect Prediction Hit paper breakdown → | 2018 | 229 |
| 5 | CoCoNuT: combining context-aware neural translation models using ensemble for program repair Hit paper breakdown → | 2020 | 216 |
| 6 | 2006 | 214 | |
| 7 | Heterogeneous Defect Prediction Hit paper breakdown → | 2017 | 203 |
| 8 | 2013 | 192 | |
| 9 | 2007 | 190 | |
| 10 | 2015 | 190 | |
| 11 | 2013 | 169 | |
| 12 | 2010 | 168 | |
| 13 | 2013 | 168 | |
| 14 | 2014 | 162 | |
| 15 | 2018 | 154 | |
| 16 | 2019 | 152 | |
| 17 | 2010 | 144 | |
| 18 | 2012 | 137 | |
| 19 | 2019 | 123 | |
| 20 | 2015 | 118 |
About Lin Tan
Lin Tan is a scholar working on Information Systems, Software, Molecular Biology, Computer Networks and Communications and Artificial Intelligence, having authored 184 papers that have together received 8.1k indexed citations. Recurring topics across this work include Software Engineering Research (47 papers), Software Testing and Debugging Techniques (38 papers), Software Reliability and Analysis Research (26 papers), Software System Performance and Reliability (25 papers), Paleontology and Evolutionary Biology (11 papers), Evolution and Paleontology Studies (10 papers), Ichthyology and Marine Biology (8 papers) and Advanced Software Engineering Methodologies (7 papers). The work is most often cited by research in Software (2.9k citations), Information Systems (3.9k citations), Signal Processing (849 citations), Computer Networks and Communications (1.7k citations) and Paleontology (469 citations). Lin Tan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Song Wang, Jinqiu Yang, Yuanyuan Zhou, Thibaud Lutellier, Jaechang Nam, Ding Yuan, Edmund Wong, Song Wang, Tian Jiang and Yuanyuan Zhou. Their work appears in journals such as Blood, Empirical Software Engineering, Scientific Reports, Cancer Research and Molecular Cell.
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.