Jun-Wei Lin
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Human Factors and Ergonomics top 5%
- Digital Accessibility for Disabilities
Papers in
- Software 10
- Software Testing and Debugging Techniques 10
-
- Software System Performance and Reliability 5
- Co-authors
- Sam Malek (7 shared papers)Chin‐Yu Huang (2 shared papers)Reyhaneh Jabbarvand (3 shared papers)Kevin J. Hackett (1 shared paper)Chien‐Yueh Lee (1 shared paper)Christopher Childers (1 shared paper)Monica F. Poelchau (1 shared paper)Gary Moore (1 shared paper)
- Journals
- Prenatal Diagnosis (2 papers)Parasitology Research (1 paper)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)British Journal of Haematology (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Jun-Wei Lin
27 papers receiving 475 citations
Peers
Comparison fields: 5 of 90
- Software 175
- Human Factors and Ergonomics 36
- Signal Processing 74
- Information Systems 148
- Insect Science 57
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 122 | |
| 2 | 2009 | 64 | |
| 3 | 2019 | 53 | |
| 4 | 2021 | 38 | |
| 5 | 2019 | 32 | |
| 6 | 2020 | 30 | |
| 7 | 2009 | 24 | |
| 8 | 2020 | 24 | |
| 9 | 2022 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2008 | 4 | |
| 19 | 2007 | 4 | |
| 20 | 2023 | 3 |
About Jun-Wei Lin
Jun-Wei Lin is a scholar working on Software, Computer Networks and Communications, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 30 papers that have together received 486 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (10 papers), Advanced Malware Detection Techniques (6 papers), Software System Performance and Reliability (5 papers), Software Engineering Research (3 papers), Vector-borne infectious diseases (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Software (175 citations), Human Factors and Ergonomics (36 citations), Signal Processing (74 citations), Information Systems (148 citations) and Insect Science (57 citations). Jun-Wei Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Sam Malek, Chin‐Yu Huang, Reyhaneh Jabbarvand, Kevin J. Hackett, Chien‐Yueh Lee, Christopher Childers, Monica F. Poelchau, Gary Moore, Han Lin and Jay D. Evans. Their work appears in journals such as Prenatal Diagnosis, Parasitology Research, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, British Journal of Haematology and Frontiers in Oncology.
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.