Jun-Wei Lin
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Human Factors and Ergonomics top 5%
- Digital Accessibility for Disabilities
Papers in
- Software 9
- Software Testing and Debugging Techniques 9
- Software Reliability and Analysis Research 2
-
- Advanced Malware Detection Techniques 6
- Co-authors
- Sam MalekReyhaneh JabbarvandChin‐Yu HuangChristopher ChildersGary MooreJay D. EvansHan LinChien‐Yueh Lee
- Journals
- Prenatal Diagnosis (2 papers)Information and Software Technology (1 paper)ACM Transactions on Software Engineering and Methodology (1 paper)Journal of Clinical Medicine (1 paper)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Jun-Wei Lin
26 papers receiving 439 citations
Peers
Comparison fields: 5 of 94
- Software 159
- Human Factors and Ergonomics 33
- Signal Processing 71
- Information Systems 138
- Insect Science 60
Countries citing papers authored by Jun-Wei Lin
This map shows the geographic impact of Jun-Wei Lin'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 Jun-Wei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Wei Lin more than expected).
Fields of papers citing papers by Jun-Wei Lin
This network shows the impact of papers produced by Jun-Wei Lin. 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 Jun-Wei Lin. The network helps show where Jun-Wei Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun-Wei Lin, 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 | 2024 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 33 | |
| 11 | 2020 | 28 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 50 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 11 | |
| 16 | 2014 | 119 | |
| 17 | 2009 | 22 | |
| 18 | 2008 | 4 | |
| 19 | 2007 | 2 | |
| 20 | 2007 | 4 |
About Jun-Wei Lin
Jun-Wei Lin is a scholar working on Software, Signal Processing, Developmental Biology, Human Factors and Ergonomics and Computer Networks and Communications, having authored 28 papers that have together received 449 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (9 papers), Advanced Malware Detection Techniques (6 papers), Software System Performance and Reliability (4 papers), Software Engineering Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Software Reliability and Analysis Research (2 papers), Vector-borne infectious diseases (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Software (159 citations), Human Factors and Ergonomics (33 citations), Signal Processing (71 citations), Information Systems (138 citations) and Insect Science (60 citations). Jun-Wei Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Sam Malek, Reyhaneh Jabbarvand, Chin‐Yu Huang, Christopher Childers, Gary Moore, Jay D. Evans, Han Lin, Chien‐Yueh Lee, Kevin J. Hackett and Monica F. Poelchau. Their work appears in journals such as Prenatal Diagnosis, Information and Software Technology, ACM Transactions on Software Engineering and Methodology, Journal of Clinical Medicine and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.