Jinshan Wu

1.4k total citations · 1 hit paper
52 papers, 929 citations indexed

About

Jinshan Wu is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Jinshan Wu has authored 52 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistical and Nonlinear Physics, 11 papers in Statistics, Probability and Uncertainty and 8 papers in Artificial Intelligence. Recurrent topics in Jinshan Wu's work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (14 papers) and scientometrics and bibliometrics research (10 papers). Jinshan Wu is often cited by papers focused on Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (14 papers) and scientometrics and bibliometrics research (10 papers). Jinshan Wu collaborates with scholars based in China, Canada and Singapore. Jinshan Wu's co-authors include Ying Fan, Zengru Di, Menghui Li, Zhesi Shen, Yougui Wang, H. Eugene Stanley, An Zeng, Jianlin Zhou, Xiao-Yong Yan and Liang Gao and has published in prestigious journals such as Nature Communications, PLoS ONE and Physical Review B.

In The Last Decade

Jinshan Wu

49 papers receiving 900 citations

Hit Papers

The science of science: From the perspective of complex s... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers

Jinshan Wu
Comparison fields: 5 of 137
  • Statistical and Nonlinear Physics 399
  • Statistics, Probability and Uncertainty 217
  • Artificial Intelligence 117
  • Economics and Econometrics 105
  • Molecular Biology 98
Replace Zhesi Shen with:
Zhesi Shen China
Daijun Wei China
Antonios Garas Switzerland
Z. Shen China
Camille Roth France
Dan Braha United States
Xiaomei Bai China
Diego R. Amancio Brazil
Kun Lü United States
Rabeeh Ayaz Abbasi Pakistan
Zhesi Shen China View profile →
Citations per field, relative to Jinshan Wu
Jinshan Wu · 1×
Citations per year, relative to Jinshan Wu
Jinshan Wu · 1×

Countries citing papers authored by Jinshan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinshan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinshan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinshan Wu. A scholar is included among the top collaborators of Jinshan 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 Jinshan Wu. Jinshan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 22
5 1
6 22
7 3
8 10
9 7
10 3
11 17
12 3
13 17
14
How large is large enough
1
15 12
16 14
17 46
18
The Robustness of Attacks on Vertices and Edges of Food Webs
5
19
The Community Structure of Scientific Collaboration Network
1
20
COMPLEX NETWORKS IN STATISTICAL PHYSICS
13

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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