Xiangrong Wang

701 total citations
21 papers, 437 citations indexed

About

Xiangrong Wang is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology and Computer Networks and Communications. According to data from OpenAlex, Xiangrong Wang has authored 21 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 7 papers in Geometry and Topology and 4 papers in Computer Networks and Communications. Recurrent topics in Xiangrong Wang's work include Complex Network Analysis Techniques (12 papers), Graph theory and applications (7 papers) and Opinion Dynamics and Social Influence (6 papers). Xiangrong Wang is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Graph theory and applications (7 papers) and Opinion Dynamics and Social Influence (6 papers). Xiangrong Wang collaborates with scholars based in China, Netherlands and Spain. Xiangrong Wang's co-authors include Robert E. Kooij, Piet Van Mieghem, Wenjie Pei, Yu‐Wing Tai, Jiyuan Zhang, Xiaoyong Shen, Lei Ke, Yakup Koç, Evangelos Pournaras and Sybil Derrible and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Energy and Artificial Intelligence.

In The Last Decade

Xiangrong Wang

19 papers receiving 427 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiangrong Wang China 8 157 148 58 54 49 21 437
Tingyuan Nie China 10 209 1.3× 111 0.8× 76 1.3× 17 0.3× 11 0.2× 39 532
Xiao-Long Ren China 8 20 0.1× 271 1.8× 83 1.4× 20 0.4× 13 0.3× 20 385
G. Mukherjee India 8 14 0.1× 348 2.4× 70 1.2× 30 0.6× 27 0.6× 16 518
Hiroyoshi Miwa Japan 9 21 0.1× 88 0.6× 142 2.4× 14 0.3× 6 0.1× 58 312
Ted G. Lewis Canada 7 14 0.1× 126 0.9× 73 1.3× 19 0.4× 33 0.7× 18 359
Qin Wu China 10 120 0.8× 107 0.7× 20 0.3× 19 0.4× 8 0.2× 34 416
Toshihiro Tanizawa Japan 9 13 0.1× 337 2.3× 140 2.4× 65 1.2× 24 0.5× 18 468
Ya Zhao China 9 60 0.4× 128 0.9× 28 0.5× 5 0.1× 4 0.1× 23 328
Hui Chang China 11 22 0.1× 408 2.8× 126 2.2× 21 0.4× 3 0.1× 30 517

Countries citing papers authored by Xiangrong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangrong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangrong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangrong Wang. A scholar is included among the top collaborators of Xiangrong Wang 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 Xiangrong Wang. Xiangrong Wang 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
1.
Xie, Jiarong, Jiachen Sun, Cong Xu, et al.. (2025). Spreading dynamics of information on online social networks. Proceedings of the National Academy of Sciences. 122(4). e2410227122–e2410227122. 4 indexed citations
2.
Wang, Xiangrong, et al.. (2025). Predicting the critical behavior of complex dynamic systems via learning the governing mechanisms. Chaos Solitons & Fractals. 198. 116515–116515.
3.
Zhang, Jianxin, et al.. (2025). A novel framework for significant wave height prediction based on Adaptive Feature Extraction Time-Frequency Network. Energy. 329. 136751–136751. 1 indexed citations
4.
Wang, Xiangrong, et al.. (2024). Unveiling the reproduction number scaling in characterizing social contagion coverage. Chaos Solitons & Fractals. 185. 115119–115119.
5.
Pei, Wenjie, et al.. (2024). Saliency-aware regularized graph neural network. Artificial Intelligence. 328. 104078–104078. 5 indexed citations
6.
Wang, Xiangrong, Thomas Peron, Johan L. A. Dubbeldam, Sonia Kéfi, & Yamir Moreno. (2023). Interspecific competition shapes the structural stability of mutualistic networks. Chaos Solitons & Fractals. 172. 113507–113507. 7 indexed citations
7.
Wang, Xiangrong, et al.. (2022). Efficient Algorithm Based on Non-Backtracking Matrix for Community Detection in Signed Networks. IEEE Transactions on Network Science and Engineering. 9(4). 2200–2211. 4 indexed citations
8.
Xie, Jiarong, et al.. (2022). Indirect influence in social networks as an induced percolation phenomenon. Proceedings of the National Academy of Sciences. 119(9). 9 indexed citations
9.
Wang, Xiangrong, et al.. (2021). Unique superdiffusion induced by directionality in multiplex networks. New Journal of Physics. 23(1). 13016–13016. 10 indexed citations
10.
Wang, Xiangrong, Robert E. Kooij, Yamir Moreno, & Piet Van Mieghem. (2019). Structural transition in interdependent networks with regular interconnections. Physical review. E. 99(1). 12311–12311. 1 indexed citations
11.
Pei, Wenjie, Jiyuan Zhang, Xiangrong Wang, et al.. (2019). Memory-Attended Recurrent Network for Video Captioning. 8339–8348. 163 indexed citations
12.
Wang, Xiangrong, et al.. (2019). Directionality reduces the impact of epidemics in multilayer networks. New Journal of Physics. 21(9). 93026–93026. 5 indexed citations
13.
Wang, Xiangrong, Johan L. A. Dubbeldam, & Piet Van Mieghem. (2017). Kemeny's constant and the effective graph resistance. Linear Algebra and its Applications. 535. 231–244. 22 indexed citations
14.
Wang, Xiangrong, et al.. (2017). Multi-criteria robustness analysis of metro networks. Physica A Statistical Mechanics and its Applications. 474. 19–31. 90 indexed citations
15.
Wang, Xiangrong, Robert E. Kooij, & Piet Van Mieghem. (2016). Modeling region-based interconnection for interdependent networks. Physical review. E. 94(4). 42315–42315. 6 indexed citations
16.
Wang, Xiangrong, Yakup Koç, Robert E. Kooij, & Piet Van Mieghem. (2015). A network approach for power grid robustness against cascading failures. 208–214. 27 indexed citations
17.
Wang, Xiangrong, Stojan Trajanovski, Robert E. Kooij, & Piet Van Mieghem. (2015). Degree distribution and assortativity in line graphs of complex networks. Physica A Statistical Mechanics and its Applications. 445. 343–356. 11 indexed citations
18.
Wang, Xiangrong, Evangelos Pournaras, Robert E. Kooij, & Piet Van Mieghem. (2014). Improving robustness of complex networks via the effective graph resistance. The European Physical Journal B. 87(9). 61 indexed citations
19.
Wang, Xiangrong, Yong Fang, & Huanhe Dong. (2010). Component-trace identity for Hamiltonian structure of the integrable couplings of the Giachetti–Johnson (GJ) hierarchy and coupling integrable couplings. Communications in Nonlinear Science and Numerical Simulation. 16(7). 2680–2688. 7 indexed citations
20.
Dong, Huanhe & Xiangrong Wang. (2006). The quadratic-form identity for constructing Hamiltonian structures of the NLS–MKdV hierarchy and multi-component Levi hierarchy. Chaos Solitons & Fractals. 37(1). 245–251. 2 indexed citations

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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