Min Meng
Impact in
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- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
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- Formal Methods in Verification
Papers in
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- Gene Regulatory Network Analysis 35
- Receptor Mechanisms and Signaling 10
- Microbial Metabolic Engineering and Bioproduction 10
- Bioinformatics and Genomic Networks 6
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- Distributed Control Multi-Agent Systems 22
- Neural Networks Stability and Synchronization 8
- Co-authors
- Jun‐e Feng (15 shared papers)Jun‐e Feng (13 shared papers)Gang Feng (5 shared papers)Gaoxi Xiao (8 shared papers)Lu Liu (3 shared papers)Xiuxian Li (19 shared papers)James Lam (5 shared papers)Yongyuan Yu (5 shared papers)
In The Last Decade
Min Meng
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Computer Networks and Communications 519
- Computational Theory and Mathematics 358
- Control and Systems Engineering 394
- Molecular Biology 877
- Biophysics 55
Countries citing papers authored by Min Meng
This map shows the geographic impact of Min Meng'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 Min Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Meng more than expected).
Fields of papers citing papers by Min Meng
This network shows the impact of papers produced by Min Meng. 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 Min Meng. The network helps show where Min Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Meng, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2020 | 116 | |
| 3 | 2018 | 103 | |
| 4 | 2017 | 99 | |
| 5 | 2017 | 67 | |
| 6 | 2019 | 61 | |
| 7 | 2019 | 60 | |
| 8 | 2016 | 55 | |
| 9 | 2016 | 53 | |
| 10 | 2017 | 51 | |
| 11 | 2018 | 47 | |
| 12 | 2014 | 43 | |
| 13 | 2014 | 42 | |
| 14 | 2014 | 38 | |
| 15 | 2023 | 36 | |
| 16 | 2014 | 33 | |
| 17 | 2020 | 31 | |
| 18 | 2023 | 26 | |
| 19 | 2022 | 26 | |
| 20 | 2015 | 26 |
About Min Meng
Min Meng is a scholar working on Molecular Biology, Computer Networks and Communications, Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence, having authored 95 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (35 papers), Distributed Control Multi-Agent Systems (22 papers), Receptor Mechanisms and Signaling (10 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Formal Methods in Verification (8 papers), Neural Networks Stability and Synchronization (8 papers), Autonomous Vehicle Technology and Safety (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (519 citations), Computational Theory and Mathematics (358 citations), Control and Systems Engineering (394 citations), Molecular Biology (877 citations) and Biophysics (55 citations). Min Meng has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Jun‐e Feng, Jun‐e Feng, Gang Feng, Gaoxi Xiao, Lu Liu, Xiuxian Li, James Lam, Yongyuan Yu, Kie Chung Cheung and Beibei Li. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of the Franklin Institute, Automatica, Asian Journal of Control and IET Control Theory and Applications.
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.