Ming‐Wei Lin
-
- Multi-Criteria Decision Making 29
- Materials Chemistry top 1%
- 2D Materials and Applications 13
- Catalysis top 2%
- Reproductive Medicine top 2%
- Sperm and Testicular Function 13
- Dermatology top 1%
-
- Caching and Content Delivery 33
- Advanced Data Storage Technologies 25
-
- Rough Sets and Fuzzy Logic 14
-
- Cloud Computing and Resource Management 14
-
- Conducting polymers and applications 13
- Co-authors
- Zeshui XuKai XiaoChao HuangRiqing ChenZhiqiang YaoPaul R. C. KentMohamed AlhabebYury Gogotsi
- Journals
- IEEE Transactions on Consumer Electronics (12 papers)Scientific Reports (9 papers)PLoS ONE (8 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ming‐Wei Lin
375 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Management Science and Operations Research 1.6k
- Materials Chemistry 3.1k
- Catalysis 452
- Reproductive Medicine 436
- Dermatology 418
Countries citing papers authored by Ming‐Wei Lin
This map shows the geographic impact of Ming‐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 Ming‐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 Ming‐Wei Lin more than expected).
Fields of papers citing papers by Ming‐Wei Lin
This network shows the impact of papers produced by Ming‐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 Ming‐Wei Lin. The network helps show where Ming‐Wei Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | A survey on graph neural networks for intrusion detection systems: Methods, trends and challengesbreakdown → | 2024 | 57 |
| 5 | 2024 | 6 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 27 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 67 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 28 | |
| 14 | 2020 | 161 | |
| 15 | 2019 | 95 | |
| 16 | 2017 | 29 | |
| 17 | 2016 | 19 | |
| 18 | 2013 | 40 | |
| 19 | 2011 | 47 | |
| 20 | Clinical analysis of pemphigus vulgaris and pemphigus foliaceus: A review of 58 cases | 2005 | 1 |
About Ming‐Wei Lin
Ming‐Wei Lin is a scholar working on Computational Mathematics, Computer Networks and Communications and Management Science and Operations Research, having authored 395 papers that have together received 13.0k indexed citations. Recurring topics across this work include Caching and Content Delivery (33 papers), Multi-Criteria Decision Making (29 papers), Advanced Data Storage Technologies (25 papers), Rough Sets and Fuzzy Logic (14 papers), Cloud Computing and Resource Management (14 papers), Conducting polymers and applications (13 papers), Sperm and Testicular Function (13 papers) and 2D Materials and Applications (13 papers). The work is most often cited by research in Management Science and Operations Research (1.6k citations), Materials Chemistry (3.1k citations) and Catalysis (452 citations). Ming‐Wei Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Zeshui Xu, Kai Xiao, Chao Huang, Riqing Chen, Zhiqiang Yao, Paul R. C. Kent, Mohamed Alhabeb, Yury Gogotsi, Raymond R. Unocic and Katherine L. Van Aken. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Scientific Reports, PLoS ONE, Information Sciences and IEEE Transactions on Intelligent Transportation 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.