Liming Pan
Impact in
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- Complex Network Analysis Techniques
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- Game Theory and Applications
Papers in
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- Complex Network Analysis Techniques 22
- Model Reduction and Neural Networks 1
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- Advanced Graph Neural Networks 3
- Co-authors
- Tao Zhou (9 shared papers)Linyuan Lü (3 shared papers)Yi‐Cheng Zhang (1 shared paper)Wei Wang (12 shared papers)Dong Hao (2 shared papers)Chin‐Kun Hu (1 shared paper)Zhihai Rong (3 shared papers)Hong Cheng (1 shared paper)
- Journals
- Applied Mathematics and Computation (4 papers)Scientific Reports (3 papers)Europhysics Letters (EPL) (2 papers)Physical review. E (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Liming Pan
29 papers receiving 995 citations
Liming Pan's Hit Papers
Peers
Comparison fields: 5 of 59
- Statistical and Nonlinear Physics 693
- Management Science and Operations Research 48
- Artificial Intelligence 98
- General Energy 3
- Sociology and Political Science 95
Countries citing papers authored by Liming Pan
This map shows the geographic impact of Liming Pan'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 Liming Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liming Pan more than expected).
Fields of papers citing papers by Liming Pan
This network shows the impact of papers produced by Liming Pan. 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 Liming Pan. The network helps show where Liming Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Liming Pan, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Toward link predictability of complex networks Hit paper breakdown → | 2015 | 318 |
| 2 | 2016 | 126 | |
| 3 | 2015 | 95 | |
| 4 | 2017 | 90 | |
| 5 | 2021 | 81 | |
| 6 | 2021 | 49 | |
| 7 | 2016 | 40 | |
| 8 | 2019 | 33 | |
| 9 | 2023 | 24 | |
| 10 | 2021 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2024 | 11 | |
| 15 | 2020 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2013 | 6 |
About Liming Pan
Liming Pan is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Cognitive Neuroscience, Strategy and Management and Sociology and Political Science, having authored 29 papers that have together received 1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Advanced Graph Neural Networks (3 papers), Evolutionary Game Theory and Cooperation (2 papers), Recommender Systems and Techniques (1 paper), Graph Theory and Algorithms (1 paper), Functional Brain Connectivity Studies (1 paper), Supply Chain Resilience and Risk Management (1 paper) and Model Reduction and Neural Networks (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (693 citations), Management Science and Operations Research (48 citations), Artificial Intelligence (98 citations), General Energy (3 citations) and Sociology and Political Science (95 citations). Liming Pan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Tao Zhou, Linyuan Lü, Yi‐Cheng Zhang, Wei Wang, Dong Hao, Chin‐Kun Hu, Zhihai Rong, Hong Cheng, Ming Tang and Yanyi Nie. Their work appears in journals such as Applied Mathematics and Computation, Scientific Reports, Europhysics Letters (EPL), Physical review. E and Proceedings of the National Academy of Sciences.
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.