Mingming Chen

991 citations
33 papers · 602 · h-index 10

Impact in

Papers in

Mingming Chen

27 papers receiving 581 citations

Peers

Mingming Chen
Comparison fields: 5 of 100
  • Statistical and Nonlinear Physics 373
  • Artificial Intelligence 192
  • Computer Networks and Communications 118
  • Transportation 32
  • Signal Processing 53
Replace Hao Yin with:
Hao Yin United States
Aaron F. McDaid Ireland
Lucas Antiqueira Brazil
Steve Harenberg United States
J. Ignacio Alvarez-Hamelin Argentina
Sucheta Soundarajan United States
Rémy Cazabet France
Prem Gopalan United States
Sandro Cavallari Singapore
Mingming Chen relative to Hao Yin United States Hao Yin's profile →
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Citations per year

Countries citing papers authored by Mingming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingming Chen. 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 Mingming Chen. The network helps show where Mingming Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014194
2 201388
3 201550
4 202046
5 201336
6 201535
7 201729
8 201722
9 201421
10 201415
11 20158
12 20238
13 20227
14 20216
15 20166
16 20205
17 20205
18 20134
19 20164
20 20133

About Mingming Chen

Mingming Chen is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 33 papers that have together received 602 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (6 papers), Network Security and Intrusion Detection (3 papers), Mental Health Research Topics (3 papers), Bioinformatics and Genomic Networks (3 papers), Fractional Differential Equations Solutions (2 papers), Human Mobility and Location-Based Analysis (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (373 citations), Artificial Intelligence (192 citations), Computer Networks and Communications (118 citations), Transportation (32 citations) and Signal Processing (53 citations). Mingming Chen has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Bolesław K. Szymański, Konstantin Kuzmin, Jierui Xie, Yanpeng Li, Wenju Liu, Zhanlei Yang, Yuzhi Chen, Haibo Zhou, Hironori Saito and Miwako Asanuma. Their work appears in journals such as PLoS ONE, Distributed and Parallel Databases, Journal of Computational Design and Engineering, BMC Cancer and Cell chemical biology.

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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