Li Pan
Impact in
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- IoT and Edge/Fog Computing
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- Petri Nets in System Modeling
- Computational Drug Discovery Methods
Papers in
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- Petri Nets in System Modeling 6
- Formal Methods in Verification 3
- Computational Drug Discovery Methods 3
- Co-authors
- Sabita Maharjan (1 shared paper)Xin Peng (1 shared paper)Supeng Leng (1 shared paper)Yan Zhang (1 shared paper)Ke Zhang (1 shared paper)Zhi Ding (1 shared paper)Meng Zhou (1 shared paper)Bo Yang (7 shared papers)
- Journals
- IEEE Access (5 papers)Planta Medica (2 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)Nature Methods (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Li Pan
31 papers receiving 357 citations
Peers
Comparison fields: 5 of 80
- Computer Networks and Communications 117
- Computational Theory and Mathematics 70
- Health Informatics 5
- Industrial and Manufacturing Engineering 30
- Management Information Systems 23
Countries citing papers authored by Li Pan
This map shows the geographic impact of Li 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 Li Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Pan more than expected).
Fields of papers citing papers by Li Pan
This network shows the impact of papers produced by Li 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 Li Pan. The network helps show where Li Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 142 | |
| 2 | 2019 | 49 | |
| 3 | 2013 | 32 | |
| 4 | 2019 | 22 | |
| 5 | 2025 | 20 | |
| 6 | 2018 | 18 | |
| 7 | 2020 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2018 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2008 | 6 | |
| 12 | 2013 | 6 | |
| 13 | 2013 | 5 | |
| 14 | 2012 | 5 | |
| 15 | 2014 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | A Bearing Fault Diagnosis Method Based on EEMD-SVD and FCM Clustering | 2016 | 2 |
About Li Pan
Li Pan is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Molecular Biology, Information Systems and Artificial Intelligence, having authored 33 papers that have together received 364 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (6 papers), Business Process Modeling and Analysis (4 papers), Scheduling and Optimization Algorithms (3 papers), Formal Methods in Verification (3 papers), Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers), Service-Oriented Architecture and Web Services (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Computer Networks and Communications (117 citations), Computational Theory and Mathematics (70 citations), Health Informatics (5 citations), Industrial and Manufacturing Engineering (30 citations) and Management Information Systems (23 citations). Li Pan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Sabita Maharjan, Xin Peng, Supeng Leng, Yan Zhang, Ke Zhang, Zhi Ding, Meng Zhou, Bo Yang, Dongsheng Cao and Liangliang Wang. Their work appears in journals such as IEEE Access, Planta Medica, IEEE Transactions on Parallel and Distributed Systems, Nature Methods and Computer Methods and Programs in Biomedicine.
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.