Ming‐Wei Lin

381 papers receiving 14k citations

Ming‐Wei Lin's Hit Papers

A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges 2024 · 108 citations
1080+3+6Years since publication2505007501k

Peers

Ming‐Wei Lin
Comparison fields: 5 of 199
  • Management Science and Operations Research 1.8k
  • Computational Mathematics 54
  • Catalysis 337
  • Materials Chemistry 2.6k
  • Reproductive Medicine 383
Replace Runze Li with:
Runze Li United States
Russ Biagio Altman United States
Toshihiko Yanase Japan
Jae Wook Lee South Korea
Qian Zhang China
Bo Liu China
Weida Tong United States
Yajun Wang China
Sung‐Hoon Kim South Korea
Seung‐Chul Lee South Korea
Ming‐Wei Lin relative to Runze Li United States Runze Li's profile →
Citations per field
00.5×10×20×31.9×
Runze Li · 1×
Citations per year

Countries citing papers authored by Ming‐Wei Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Ming‐Wei Lin Line = papers co-authored together Ming‐Wei Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 403 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Atomic Defects in Monolayer Titanium Carbide (Ti 3 C 2 T x ) MXene
Hit paper breakdown →
20161104
2 2014341
3 2013318
4 2016285
5 2002282
6 2014267
7 2015255
8
Wastewater treatment and emerging contaminants: Bibliometric analysis
Hit paper breakdown →
2022233
9 2015228
10 2011216
11 2019215
12 2004192
13 2017189
14 2022174
15
Mass eradication of Helicobacter pylori to reduce gastric cancer incidence and mortality: a long-term cohort study on Matsu Islands
Hit paper breakdown →
2020168
16 2018166
17 2020166
18 2016160
19 2016156
20 2020152

About Ming‐Wei Lin

Ming‐Wei Lin is a scholar working on Computer Networks and Communications, Management Science and Operations Research, Information Systems, Reproductive Medicine and Genetics, having authored 403 papers that have together received 14.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (33 papers), Advanced Data Storage Technologies (30 papers), Genetic Associations and Epidemiology (14 papers), Cloud Computing and Resource Management (12 papers), 2D Materials and Applications (11 papers), Sperm and Testicular Function (10 papers), Tensor decomposition and applications (9 papers) and Ionic liquids properties and applications (9 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Computational Mathematics (54 citations), Catalysis (337 citations), Materials Chemistry (2.6k citations) and Reproductive Medicine (383 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, Yu Xie, Katherine L. Van Aken, Raymond R. Unocic and Xiahan Sang. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Scientific Reports, PLoS ONE, British Journal of Dermatology 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.

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