Jianshe Wu

92 total papers · 2.2k total citations
75 papers, 1.7k citations indexed

About

Jianshe Wu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jianshe Wu has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistical and Nonlinear Physics, 30 papers in Computer Networks and Communications and 26 papers in Artificial Intelligence. Recurrent topics in Jianshe Wu's work include Complex Network Analysis Techniques (29 papers), Opinion Dynamics and Social Influence (20 papers) and Nonlinear Dynamics and Pattern Formation (14 papers). Jianshe Wu is often cited by papers focused on Complex Network Analysis Techniques (29 papers), Opinion Dynamics and Social Influence (20 papers) and Nonlinear Dynamics and Pattern Formation (14 papers). Jianshe Wu collaborates with scholars based in China, United States and Montenegro. Jianshe Wu's co-authors include Licheng Jiao, Yutao Qi, Fang Liu, Xiaoliang Ma, Jianyong Sun, Weisheng Chen, Xiaohua Wang, Jianrui Chen, Fang Liu and Xiaodong Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Jianshe Wu

73 papers receiving 1.7k citations

Hit Papers

MOEA/D with Adaptive Weig... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jianshe Wu 816 677 574 508 143 75 1.7k
Wenjian Luo 1.4k 1.7× 755 1.1× 262 0.5× 233 0.5× 75 0.5× 157 2.0k
Fan Cheng 872 1.1× 730 1.1× 159 0.3× 93 0.2× 134 0.9× 64 1.5k
Tianlong Gu 939 1.2× 622 0.9× 172 0.3× 222 0.4× 90 0.6× 106 1.9k
Jean-Michel Renders 812 1.0× 212 0.3× 423 0.7× 160 0.3× 84 0.6× 53 1.7k
Carlos Cotta 999 1.2× 448 0.7× 97 0.2× 222 0.4× 127 0.9× 115 1.8k
Chao Luo 403 0.5× 158 0.2× 463 0.8× 339 0.7× 205 1.4× 109 1.7k
Qing Cai 399 0.5× 144 0.2× 875 1.5× 241 0.5× 73 0.5× 47 1.6k
Thang N. Dinh 380 0.5× 141 0.2× 1.2k 2.0× 692 1.4× 73 0.5× 77 2.1k
Michèle Sébag 1.1k 1.4× 466 0.7× 64 0.1× 330 0.6× 160 1.1× 88 1.8k
Tomasz Radzik 407 0.5× 346 0.5× 103 0.2× 716 1.4× 77 0.5× 55 1.5k

Countries citing papers authored by Jianshe Wu

Since Specialization
Citations

This map shows the geographic impact of Jianshe Wu'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 Jianshe Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianshe Wu more than expected).

Fields of papers citing papers by Jianshe Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jianshe Wu. 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 Jianshe Wu. The network helps show where Jianshe Wu may publish in the future.

Co-authorship network of co-authors of Jianshe Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianshe Wu. A scholar is included among the top collaborators of Jianshe Wu 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 Jianshe Wu. Jianshe Wu 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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