Mingming Chen

1.0k citations
35 papers · 629 · h-index 10

Impact in

Papers in

Mingming Chen

29 papers receiving 613 citations

Peers

Mingming Chen
Comparison fields: 5 of 100
  • Statistical and Nonlinear Physics 388
  • Artificial Intelligence 204
  • Computer Networks and Communications 126
  • Transportation 33
  • Signal Processing 52
Replace Hao Yin with:
Hao Yin China
Lucas Antiqueira Brazil
Steve Harenberg United States
J. Ignacio Alvarez-Hamelin Argentina
Sucheta Soundarajan United States
Aleksei Yu. Kondratev Russia
Fragkiskos D. Malliaros France
Peng Gang Sun China
Nurcan Yuruk United States
Prem Gopalan United States
Mingming Chen relative to Hao Yin China Hao Yin's profile →
Citations per field
00.5×5×10×15×21.5×
Hao Yin · 1×
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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014201
2 201392
3 201554
4 202052
5 201338
6 201535
7 201729
8 201422
9 201721
10
Fuzzy overlapping community quality metrics
201514
11 20239
12 20158
13 20227
14 20166
15 20216
16 20205
17 20205
18 20164
19 20134
20 20133

About Mingming Chen

Mingming Chen is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 35 papers that have together received 629 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Opinion Dynamics and Social Influence (6 papers), Bioinformatics and Genomic Networks (3 papers), Mental Health Research Topics (3 papers), Network Security and Intrusion Detection (3 papers), Peer-to-Peer Network Technologies (3 papers), Nonlinear Waves and Solitons (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (388 citations), Artificial Intelligence (204 citations), Computer Networks and Communications (126 citations), Transportation (33 citations) and Signal Processing (52 citations). Mingming Chen has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Boleslaw Karol Szymanski, Konstantin Kuzmin, Jierui Xie, Wenju Liu, Zhanlei Yang, Yanpeng Li, Tara M. Madhyastha, Elias Chaibub Neto, Changkyu Lee and Yuzhi Chen. Their work appears in journals such as PLoS ONE, Journal of Computational Design and Engineering, IEEE Transactions on Computational Social Systems, Physica D Nonlinear Phenomena and BMC Medical Research Methodology.

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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