Mingming Chen
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Advanced Clustering Algorithms Research
- Speech Recognition and Synthesis
Papers in
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- Complex Network Analysis Techniques 10
- Opinion Dynamics and Social Influence 4
- Nonlinear Waves and Solitons 2
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- Network Security and Intrusion Detection 3
- Peer-to-Peer Network Technologies 2
- Co-authors
- Bolesław K. Szymański (9 shared papers)Konstantin Kuzmin (6 shared papers)Jierui Xie (2 shared papers)Yanpeng Li (1 shared paper)Wenju Liu (1 shared paper)Zhanlei Yang (1 shared paper)Haibo Zhou (1 shared paper)Yuzhi Chen (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Computational Design and Engineering (1 paper)Scientific Reports (1 paper)Information Sciences (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Mingming Chen
24 papers receiving 524 citations
Peers
Comparison fields: 5 of 100
- Statistical and Nonlinear Physics 325
- Artificial Intelligence 175
- Signal Processing 49
- Transportation 30
- Computer Networks and Communications 101
Countries citing papers authored by Mingming Chen
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 180 | |
| 2 | 2013 | 78 | |
| 3 | 2015 | 47 | |
| 4 | 2020 | 45 | |
| 5 | 2015 | 33 | |
| 6 | 2013 | 30 | |
| 7 | 2017 | 27 | |
| 8 | 2017 | 20 | |
| 9 | 2014 | 19 | |
| 10 | 2014 | 15 | |
| 11 | 2015 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2025 | 1 |
About Mingming Chen
Mingming Chen is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence, having authored 30 papers that have together received 544 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (4 papers), Mental Health Research Topics (3 papers), Network Security and Intrusion Detection (3 papers), Peer-to-Peer Network Technologies (2 papers), Speech Recognition and Synthesis (2 papers), Human Mobility and Location-Based Analysis (2 papers) and Nonlinear Waves and Solitons (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (325 citations), Artificial Intelligence (175 citations), Signal Processing (49 citations), Transportation (30 citations) and Computer Networks and Communications (101 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, Haibo Zhou, Yuzhi Chen, Tara Madhyastha and Chris Gaiteri. Their work appears in journals such as PLoS ONE, Journal of Computational Design and Engineering, Scientific Reports, Information Sciences and BMC Cancer.
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.