Ming‐Chun Lee

1.9k citations
85 papers · 1.2k · h-index 17

Impact in

Papers in

Ming‐Chun Lee

72 papers receiving 1.1k citations

Peers

Ming‐Chun Lee
Comparison fields: 5 of 116
  • Computer Networks and Communications 244
  • Polymers and Plastics 123
  • Genetics 193
  • Marketing 61
  • Microbiology 5
Replace Won-Tae Kim with:
Won-Tae Kim South Korea
Matthias Wieland United States
Carole Guillaume France
Masanori Yamaguchi Japan
N. Ganesh India
Xinpeng Zhang China
Xingwang Wang China
Yijie Li China
Purushottam Sharma India
Ming‐Chun Lee relative to Won-Tae Kim South Korea Won-Tae Kim's profile →
Citations per field
00.5×8.7×
Won-Tae Kim · 1×
Citations per year

Countries citing papers authored by Ming‐Chun Lee

Since Specialization
Citations

This map shows the geographic impact of Ming‐Chun Lee'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‐Chun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chun Lee more than expected).

Fields of papers citing papers by Ming‐Chun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chun Lee. 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‐Chun Lee. The network helps show where Ming‐Chun Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Chun Lee, 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‐Chun Lee Line = papers co-authored together Ming‐Chun Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012122
2 201398
3 201577
4 201377
5 200970
6 199850
7 199643
8 199943
9 200940
10 201336
11 201836
12 201735
13 201233
14 201932
15 201230
16 202221
17 201721
18 201716
19 201716
20 202016

About Ming‐Chun Lee

Ming‐Chun Lee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Molecular Biology and Artificial Intelligence, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (24 papers), Caching and Content Delivery (21 papers), Opportunistic and Delay-Tolerant Networks (14 papers), Advanced MIMO Systems Optimization (12 papers), Advanced Wireless Communication Technologies (12 papers), Radar Systems and Signal Processing (8 papers), Advanced SAR Imaging Techniques (6 papers) and Evolution and Genetic Dynamics (5 papers). The work is most often cited by research in Computer Networks and Communications (244 citations), Polymers and Plastics (123 citations), Genetics (193 citations), Marketing (61 citations) and Microbiology (5 citations). Ming‐Chun Lee has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Christopher J. Marx, Chun‐Shan Wang, Ta-Sung Lee, Andreas F. Molisch, Wei‐Ho Chung, Nigel F. Delaney, Hsin-Hung Chou, Hsin‐Hung Wu, Maria E. Kaczmarek and Lewis M. Ward. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Access and Journal of Applied Polymer Science.

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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