Li Pan
Impact in
- Information Systems top 2%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
-
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
Papers in
-
- Cloud Computing and Resource Management 57
- Blockchain Technology Applications and Security 9
-
- IoT and Edge/Fog Computing 38
- Distributed and Parallel Computing Systems 13
- Caching and Content Delivery 12
- Co-authors
- Shijun LiuXiangxu MengCun JiLei WuChenglei YangYi WeiMing-Yu LiuChao Zhao
- Journals
- Future Generation Computer Systems (8 papers)Journal of Network and Computer Applications (7 papers)IEEE Transactions on Services Computing (5 papers)IEEE Access (5 papers)IEEE Internet of Things Journal (5 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Li Pan
104 papers receiving 780 citations
Peers
Comparison fields: 5 of 84
- Information Systems 359
- Computer Networks and Communications 361
- Signal Processing 127
- Artificial Intelligence 260
- Industrial and Manufacturing Engineering 66
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 5 | |
| 18 | TOPK: A New Bipartite Ranking Algorithm for Enterprise Social Network | 2016 | 0 |
| 19 | 2016 | 1 | |
| 20 | Model and key technologies of cloud manufacturing | 2011 | 2 |
About Li Pan
Li Pan is a scholar working on Information Systems, Computer Networks and Communications, Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 119 papers that have together received 809 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (57 papers), IoT and Edge/Fog Computing (38 papers), Distributed and Parallel Computing Systems (13 papers), Advanced Graph Neural Networks (12 papers), Caching and Content Delivery (12 papers), Complex Network Analysis Techniques (10 papers), Blockchain Technology Applications and Security (9 papers) and Data Stream Mining Techniques (9 papers). The work is most often cited by research in Information Systems (359 citations), Computer Networks and Communications (361 citations), Signal Processing (127 citations), Artificial Intelligence (260 citations) and Industrial and Manufacturing Engineering (66 citations). Li Pan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shijun Liu, Xiangxu Meng, Cun Ji, Lei Wu, Chenglei Yang, Yi Wei, Ming-Yu Liu, Chao Zhao, Lizhen Cui and Dimitris N. Politis. Their work appears in journals such as Future Generation Computer Systems, Journal of Network and Computer Applications, IEEE Transactions on Services Computing, IEEE Access and IEEE Internet of Things Journal.
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.