Lijun Pan

36 total papers · 529 total citations
28 papers, 410 citations indexed

About

Lijun Pan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Lijun Pan has authored 28 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 9 papers in Statistical and Nonlinear Physics and 5 papers in Molecular Biology. Recurrent topics in Lijun Pan's work include Neural Networks Stability and Synchronization (19 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and stochastic dynamics and bifurcation (7 papers). Lijun Pan is often cited by papers focused on Neural Networks Stability and Synchronization (19 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and stochastic dynamics and bifurcation (7 papers). Lijun Pan collaborates with scholars based in China, South Korea and Saudi Arabia. Lijun Pan's co-authors include Jinde Cao, Jianqiang Hu, Mahmoud Abdel‐Aty, Yuanzhen Feng, Zhengxin Wang, Xin Jin, Qiang Song, Minvydas Ragulskis, Kok Lay Teo and Ahmed Alsaedi and has published in prestigious journals such as Gastroenterology, IEEE Access and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Lijun Pan

22 papers receiving 405 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lijun Pan 348 191 84 63 39 28 410
Xiaodi Li 253 0.7× 131 0.7× 67 0.8× 100 1.6× 41 1.1× 25 369
Zengyun Wang 321 0.9× 158 0.8× 102 1.2× 139 2.2× 61 1.6× 29 439
Vijay K. Yadav 342 1.0× 358 1.9× 84 1.0× 39 0.6× 37 0.9× 40 464
Yonglu Shu 210 0.6× 274 1.4× 75 0.9× 30 0.5× 19 0.5× 26 465
Lihong Huang 283 0.8× 128 0.7× 189 2.3× 33 0.5× 74 1.9× 28 378
C. Sowmiya 312 0.9× 133 0.7× 128 1.5× 109 1.7× 79 2.0× 17 398
Hao Yin 149 0.4× 132 0.7× 108 1.3× 109 1.7× 46 1.2× 21 409
J. Yogambigai 348 1.0× 131 0.7× 50 0.6× 116 1.8× 56 1.4× 17 373
Bao Tong Cui 359 1.0× 151 0.8× 207 2.5× 104 1.7× 101 2.6× 34 484
Xiuping Han 401 1.2× 394 2.1× 46 0.5× 46 0.7× 10 0.3× 19 492

Countries citing papers authored by Lijun Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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