Shang‐Wei Lin
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 2%
- Advanced Malware Detection Techniques
Papers in
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- Security and Verification in Computing 10
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- Blockchain Technology Applications and Security 10
- Software Engineering Research 10
- Co-authors
- Yang Liu (26 shared papers)Yi Li (8 shared papers)Yuekang Li (2 shared papers)Bihuan Chen (2 shared papers)Alwen Tiu (2 shared papers)Mahinthan Chandramohan (1 shared paper)Ye Liu (5 shared papers)Zengxiang Li (1 shared paper)
In The Last Decade
Shang‐Wei Lin
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Software 330
- Signal Processing 386
- Information Systems 587
- Computer Networks and Communications 311
- Artificial Intelligence 375
Countries citing papers authored by Shang‐Wei Lin
This map shows the geographic impact of Shang‐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 Shang‐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 Shang‐Wei Lin more than expected).
Fields of papers citing papers by Shang‐Wei Lin
This network shows the impact of papers produced by Shang‐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 Shang‐Wei Lin. The network helps show where Shang‐Wei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shang‐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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 174 | |
| 2 | 2021 | 123 | |
| 3 | 2020 | 94 | |
| 4 | 2019 | 47 | |
| 5 | 2020 | 45 | |
| 6 | 2020 | 43 | |
| 7 | 2017 | 43 | |
| 8 | 2022 | 36 | |
| 9 | 2017 | 35 | |
| 10 | 2020 | 30 | |
| 11 | 2018 | 30 | |
| 12 | 2004 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2019 | 25 | |
| 15 | 2020 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2022 | 16 | |
| 20 | 2013 | 15 |
About Shang‐Wei Lin
Shang‐Wei Lin is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Software and Computer Networks and Communications, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Formal Methods in Verification (16 papers), Software Testing and Debugging Techniques (15 papers), Advanced Malware Detection Techniques (14 papers), Blockchain Technology Applications and Security (10 papers), Real-Time Systems Scheduling (10 papers), Software Engineering Research (10 papers), Security and Verification in Computing (10 papers) and Embedded Systems Design Techniques (7 papers). The work is most often cited by research in Software (330 citations), Signal Processing (386 citations), Information Systems (587 citations), Computer Networks and Communications (311 citations) and Artificial Intelligence (375 citations). Shang‐Wei Lin has collaborated with scholars based in Singapore, China and Taiwan. Frequent co-authors include Yang Liu, Yi Li, Yuekang Li, Bihuan Chen, Alwen Tiu, Mahinthan Chandramohan, Ye Liu, Zengxiang Li, Xiaofei Xie and Ruitao Feng. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Automatica, ACM Computing Surveys, IEEE Transactions on Software Engineering and IEEE Transactions on Computers.
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.