Li Pan
Impact in
- Transportation top 2%
- Transportation Planning and Optimization
- Building and Construction top 2%
- Traffic Prediction and Management Techniques
Papers in
-
- Advanced Graph Neural Networks 15
- Topic Modeling 12
- Anomaly Detection Techniques and Applications 6
-
- Complex Network Analysis Techniques 30
- Opinion Dynamics and Social Influence 15
- Co-authors
- Peng Wu (15 shared papers)Yue Wu (2 shared papers)Ping Yi (2 shared papers)Wenchao Li (1 shared paper)Jianhua Li (2 shared papers)Qun Niu (1 shared paper)Changqing Zou (1 shared paper)Ning Liu (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (5 papers)Computers & Security (4 papers)Electronics (3 papers)Neurocomputing (2 papers)Marine and Petroleum Geology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Pan
121 papers receiving 2.6k citations
Li Pan's Hit Papers
Peers
Comparison fields: 5 of 140
- Transportation 287
- Building and Construction 368
- Artificial Intelligence 854
- Statistical and Nonlinear Physics 311
- Computer Vision and Pattern Recognition 401
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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network Hit paper breakdown → | 2015 | 374 |
| 2 | 2019 | 233 | |
| 3 | 2014 | 220 | |
| 4 | 2020 | 93 | |
| 5 | 2005 | 87 | |
| 6 | 2017 | 80 | |
| 7 | 2021 | 66 | |
| 8 | 2014 | 60 | |
| 9 | 2022 | 60 | |
| 10 | 2019 | 60 | |
| 11 | 2019 | 55 | |
| 12 | 2019 | 53 | |
| 13 | 2020 | 53 | |
| 14 | 2018 | 50 | |
| 15 | 2015 | 47 | |
| 16 | 2014 | 45 | |
| 17 | 2020 | 44 | |
| 18 | 2017 | 43 | |
| 19 | 2017 | 40 | |
| 20 | 2017 | 40 |
About Li Pan
Li Pan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 130 papers that have together received 2.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Advanced Graph Neural Networks (15 papers), Opinion Dynamics and Social Influence (15 papers), Topic Modeling (12 papers), Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (6 papers), Access Control and Trust (6 papers) and Traffic Prediction and Management Techniques (6 papers). The work is most often cited by research in Transportation (287 citations), Building and Construction (368 citations), Artificial Intelligence (854 citations), Statistical and Nonlinear Physics (311 citations) and Computer Vision and Pattern Recognition (401 citations). Li Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng Wu, Yue Wu, Ping Yi, Wenchao Li, Jianhua Li, Qun Niu, Changqing Zou, Ning Liu, Hefeng Wu and Bo Fang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Computers & Security, Electronics, Neurocomputing and Marine and Petroleum Geology.
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.