Ming‐Wei Lin

17.4k citations
405 papers · 13.8k · 4 hit papers · h-index 61

Impact in

Papers in

Ming‐Wei Lin

385 papers receiving 13.5k citations

Ming‐Wei Lin's Hit Papers

A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges 2024 · 78 citations
780+3+6Years since publication2505007501000

Peers

Ming‐Wei Lin
Comparison fields: 5 of 216
  • Management Science and Operations Research 1.7k
  • Materials Chemistry 3.3k
  • Catalysis 467
  • Reproductive Medicine 433
  • Electrical and Electronic Engineering 2.4k
Replace Yajun Wang with:
Yajun Wang China
Xiangyu Wang China
Fang Chen Australia
Shuo Li China
Qiang Zhang China
Zhenhua Wu China
Yudong Zhang China
Huiling Chen China
Ben Niu China
Ning Wang China
Ming‐Wei Lin relative to Yajun Wang China Yajun Wang's profile →
Citations per field
00.5×4.2×
Yajun Wang · 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 405 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Atomic Defects in Monolayer Titanium Carbide (Ti3C2Tx) MXene
Hit paper breakdown →
20161056
2 2014341
3 2013305
4 2002281
5 2016269
6 2014254
7 2015238
8
Wastewater treatment and emerging contaminants: Bibliometric analysis
Hit paper breakdown →
2022228
9 2019211
10 2015204
11 2011203
12 2004192
13 2017190
14 2020166
15 2018163
16
Artificial intelligence in renewable energy: A comprehensive bibliometric analysis
Hit paper breakdown →
2022157
17 2016155
18 2016149
19 2020149
20 2019145

About Ming‐Wei Lin

Ming‐Wei Lin is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Molecular Biology and Information Systems, having authored 405 papers that have together received 13.8k indexed citations. Recurring topics across this work include Caching and Content Delivery (36 papers), Multi-Criteria Decision Making (30 papers), Advanced Data Storage Technologies (28 papers), Cloud Computing and Resource Management (15 papers), Rough Sets and Fuzzy Logic (15 papers), 2D Materials and Applications (13 papers), Conducting polymers and applications (13 papers) and Sperm and Testicular Function (13 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Materials Chemistry (3.3k citations), Catalysis (467 citations), Reproductive Medicine (433 citations) and Electrical and Electronic Engineering (2.4k 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, Yury Gogotsi, Xiahan Sang, Mohamed Alhabeb and Raymond R. Unocic. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Scientific Reports, PLoS ONE, Information Sciences and Reproduction.

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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