Xin-Zeng Wu

709 total citations · 1 hit paper
4 papers, 559 citations indexed

About

Xin-Zeng Wu is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Xin-Zeng Wu has authored 4 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Statistical and Nonlinear Physics and 1 paper in Computer Networks and Communications. Recurrent topics in Xin-Zeng Wu's work include Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). Xin-Zeng Wu is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). Xin-Zeng Wu collaborates with scholars based in United States. Xin-Zeng Wu's co-authors include Kristina Lerman, Xiaoran Yan, Allon G. Percus, Hong Xu, Cheng Cheng, Sven Koenig and T. K. Satish Kumar and has published in prestigious journals such as PLoS ONE, Scientific Reports and Physical review. E.

In The Last Decade

Xin-Zeng Wu

4 papers receiving 548 citations

Hit Papers

The "Majority Illusion" in Social Networks 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Xin-Zeng Wu
Kathryn Coronges United States
Xin-Zeng Wu
Citations per year, relative to Xin-Zeng Wu Xin-Zeng Wu (= 1×) peers Kathryn Coronges

Countries citing papers authored by Xin-Zeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xin-Zeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin-Zeng Wu

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

All Works

4 of 4 papers shown
1.
Xu, Hong, Xin-Zeng Wu, Cheng Cheng, Sven Koenig, & T. K. Satish Kumar. (2018). The Buss Reduction for the k-Weighted Vertex Cover Problem.. 1 indexed citations
2.
Wu, Xin-Zeng, et al.. (2018). Degree correlations amplify the growth of cascades in networks. Physical review. E. 98(2). 22321–22321. 12 indexed citations
3.
Wu, Xin-Zeng, Allon G. Percus, & Kristina Lerman. (2017). Neighbor-Neighbor Correlations Explain Measurement Bias in Networks. Scientific Reports. 7(1). 5576–5576. 9 indexed citations
4.
Lerman, Kristina, Xiaoran Yan, & Xin-Zeng Wu. (2016). The "Majority Illusion" in Social Networks. PLoS ONE. 11(2). e0147617–e0147617. 537 indexed citations breakdown →

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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