Lijun Pan
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Jinde CaoJianqiang HuMahmoud Abdel‐AtyZhengxin WangXin JinYuanzhen FengQiang SongMinvydas Ragulskis
- Topics
- Neural Networks Stability and Synchronization (19 papers)Nonlinear Dynamics and Pattern Formation (10 papers)stochastic dynamics and bifurcation (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Partner nations
- ChinaSouth KoreaBahrain
In The Last Decade
Lijun Pan
24 papers receiving 411 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 351
- Statistical and Nonlinear Physics 194
- Artificial Intelligence 84
- Control and Systems Engineering 64
- Electrical and Electronic Engineering 41
Countries citing papers authored by Lijun Pan
This map shows the geographic impact of Lijun 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 Lijun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijun Pan more than expected).
Fields of papers citing papers by Lijun Pan
This network shows the impact of papers produced by Lijun 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 Lijun Pan. The network helps show where Lijun Pan may publish in the future.
Co-authorship network of co-authors of Lijun Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Pan. A scholar is included among the top collaborators of Lijun Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lijun Pan. Lijun Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 43 | |
| 10 | 6 | |
| 11 | 44 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | 4 | |
| 16 | 32 | |
| 17 | 78 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 3 |
About Lijun Pan
Lijun Pan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Applied Mathematics, having authored 28 papers that have together received 416 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (19 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (194 citations), Computer Networks and Communications (351 citations) and Modeling and Simulation (16 citations). Lijun Pan has collaborated with scholars based in China, South Korea and Bahrain. Frequent co-authors include Jinde Cao, Jianqiang Hu, Mahmoud Abdel‐Aty, Zhengxin Wang, Xin Jin, Yuanzhen Feng, Qiang Song, Minvydas Ragulskis, Kok Lay Teo and Ahmed Alsaedi. Their work appears in journals such as Gastroenterology, IEEE Access and IEEE Transactions on Evolutionary Computation.
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.