Jun-Wei Lin
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Human Factors and Ergonomics top 5%
- Digital Accessibility for Disabilities
Papers in
- Software 10
- Software Testing and Debugging Techniques 10
- Co-authors
- Sam Malek (7 shared papers)Reyhaneh Jabbarvand (3 shared papers)Chin‐Yu Huang (2 shared papers)Jay Daniel Evans (1 shared paper)Monica F. Poelchau (1 shared paper)Kevin J. Hackett (1 shared paper)Chien‐Yueh Lee (1 shared paper)Han Lin (1 shared paper)
- Journals
- Prenatal Diagnosis (2 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Frontiers in Microbiology (1 paper)IEEE Transactions on Green Communications and Networking (1 paper)ACM Transactions on Software Engineering and Methodology (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Jun-Wei Lin
28 papers receiving 506 citations
Peers
Comparison fields: 5 of 67
- Software 204
- Human Factors and Ergonomics 40
- Parasitology 14
- Insect Science 19
- Pathology and Forensic Medicine 27
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-authors
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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 139 | |
| 2 | 2009 | 64 | |
| 3 | 2019 | 59 | |
| 4 | 2021 | 41 | |
| 5 | 2019 | 33 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 24 | |
| 8 | 2009 | 22 | |
| 9 | 2017 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2013 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2007 | 4 | |
| 18 | 2008 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2023 | 3 |
About Jun-Wei Lin
Jun-Wei Lin is a scholar working on Software, Parasitology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Life-span and Life-course Studies, having authored 28 papers that have together received 517 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (10 papers), Prenatal Screening and Diagnostics (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Green IT and Sustainability (1 paper), Analog and Mixed-Signal Circuit Design (1 paper), Electrical Fault Detection and Protection (1 paper) and Physical Education and Training Studies (1 paper). The work is most often cited by research in Software (204 citations), Human Factors and Ergonomics (40 citations), Parasitology (14 citations), Insect Science (19 citations) and Pathology and Forensic Medicine (27 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, Jay Daniel Evans, Monica F. Poelchau, Kevin J. Hackett, Chien‐Yueh Lee, Han Lin, Christopher P. Childers and Stacy Marie Branham. Their work appears in journals such as Prenatal Diagnosis, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Frontiers in Microbiology, IEEE Transactions on Green Communications and Networking 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.