Linyuan Lü

13.7k total citations · 9 hit papers
96 papers, 9.8k citations indexed

About

Linyuan Lü is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Linyuan Lü has authored 96 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Statistical and Nonlinear Physics, 18 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in Linyuan Lü's work include Complex Network Analysis Techniques (67 papers), Opinion Dynamics and Social Influence (41 papers) and Recommender Systems and Techniques (13 papers). Linyuan Lü is often cited by papers focused on Complex Network Analysis Techniques (67 papers), Opinion Dynamics and Social Influence (41 papers) and Recommender Systems and Techniques (13 papers). Linyuan Lü collaborates with scholars based in China, Switzerland and United States. Linyuan Lü's co-authors include Tao Zhou, Yi‐Cheng Zhang, Chi Ho Yeung, Duanbing Chen, Weiping Liu, Mingsheng Shang, H. Eugene Stanley, Qian-Ming Zhang, Zi‐Ke Zhang and Yicheng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Linyuan Lü

87 papers receiving 9.4k citations

Hit Papers

Link prediction in comple... 2009 2026 2014 2020 2010 2009 2011 2012 2011 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Linyuan Lü 7.0k 3.7k 2.2k 1.5k 1.3k 96 9.8k
Andrea Lancichinetti 5.5k 0.8× 1.9k 0.5× 1.2k 0.5× 456 0.3× 1.3k 1.0× 19 7.1k
Jie Tang 3.6k 0.5× 7.2k 1.9× 1.3k 0.6× 4.1k 2.7× 1.2k 0.9× 384 12.8k
David Liben‐Nowell 3.9k 0.6× 2.5k 0.7× 666 0.3× 1.5k 1.0× 3.0k 2.3× 30 7.8k
Gergely Palla 4.0k 0.6× 1.1k 0.3× 1.7k 0.8× 421 0.3× 1.1k 0.9× 54 6.3k
Peng Cui 3.7k 0.5× 7.1k 1.9× 1.2k 0.5× 2.5k 1.6× 1.2k 0.9× 219 10.4k
Hanghang Tong 3.3k 0.5× 5.7k 1.5× 1.1k 0.5× 2.1k 1.4× 1.9k 1.4× 327 10.5k
Yizhou Sun 3.5k 0.5× 7.2k 1.9× 1.1k 0.5× 3.6k 2.3× 1.6k 1.2× 206 10.5k
Eytan Adar 2.4k 0.4× 2.8k 0.7× 625 0.3× 1.9k 1.3× 1.7k 1.3× 106 7.6k
Wenwu Zhu 3.4k 0.5× 7.1k 1.9× 1.1k 0.5× 2.5k 1.6× 3.3k 2.5× 410 13.9k
Illés J. Farkas 3.3k 0.5× 1.2k 0.3× 2.1k 0.9× 316 0.2× 1.2k 0.9× 42 10.3k

Countries citing papers authored by Linyuan Lü

Since Specialization
Citations

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

Fields of papers citing papers by Linyuan Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linyuan Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Linyuan Lü. A scholar is included among the top collaborators of Linyuan Lü 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 Linyuan Lü. Linyuan Lü 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.
2.
Lü, Linyuan, et al.. (2025). Modeling Emotional Dynamics in Social Networks: Uncovering the Positive Role of Information Cocoons in Group Emotional Stabilization. IEEE Transactions on Computational Social Systems. 13(1). 881–889.
3.
Xiong, Jun, Xiao-Long Ren, & Linyuan Lü. (2025). Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement Learning. Entropy. 27(4). 382–382.
4.
Lü, Linyuan, et al.. (2025). Cluster synchronization on sparse simplicial complexes with higher-order repulsive coupling. New Journal of Physics. 27(4). 43012–43012.
5.
Expert, Paul, Linyuan Lü, H. Eugene Stanley, et al.. (2024). Local dominance unveils clusters in networks. Communications Physics. 7(1). 21 indexed citations
6.
Xu, Xiao-Ke, et al.. (2024). Uncovering patterns of multichannel mobile communications. Physica A Statistical Mechanics and its Applications. 636. 129546–129546. 1 indexed citations
7.
Wu, Xiaoqun, Bing Mao, Jun-an Lu, et al.. (2024). Synchronization in multiplex networks. Physics Reports. 1060. 1–54. 39 indexed citations
8.
Lü, Linyuan, et al.. (2024). Network Higher-Order Structure Dismantling. Entropy. 26(3). 248–248. 7 indexed citations
9.
Wang, Hao, et al.. (2024). Identifying key players in complex networks via network entanglement. Communications Physics. 7(1). 12 indexed citations
10.
Zeng, Yujie, et al.. (2024). Influential simplices mining via simplicial convolutional networks. Information Processing & Management. 61(5). 103813–103813. 7 indexed citations
11.
Xu, Mengqiao, et al.. (2023). Assessing and improving the structural robustness of global liner shipping system: A motif-based network science approach. Reliability Engineering & System Safety. 240. 109576–109576. 43 indexed citations
12.
Wu, Leilei, Lingling Yi, Xiao-Long Ren, & Linyuan Lü. (2023). Predicting the Popularity of Information on Social Platforms without Underlying Network Structure. Entropy. 25(6). 916–916.
13.
Bianconi, Ginestra, Àlex Arenas, Jacob Biamonte, et al.. (2023). Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics. Journal of Physics Complexity. 4(1). 10201–10201. 48 indexed citations
14.
Xia, Xin, Yansen Su, Linyuan Lü, et al.. (2022). Machine learning prediction of network dynamics with privacy protection. Physical Review Research. 4(4). 4 indexed citations
15.
Ren, Xiao-Long, et al.. (2019). Efficient Network Dismantling via Node Explosive Percolation*. Communications in Theoretical Physics. 71(6). 764–764. 7 indexed citations
16.
Zeng, Xiangxiang, Li Liu, Linyuan Lü, & Quan Zou. (2018). Prediction of potential disease-associated microRNAs using structural perturbation method. Bioinformatics. 34(14). 2425–2432. 210 indexed citations
17.
Wu, Leilei, Zhuo-Ming Ren, Xiao-Long Ren, Jianlin Zhang, & Linyuan Lü. (2018). Eliminating the Effect of Rating Bias on Reputation Systems. Complexity. 2018(1). 7 indexed citations
18.
Zhou, Yanbo, Linyuan Lü, & Menghui Li. (2012). Quantifying the influence of scientists and their publications: distinguishing between prestige and popularity. reroDoc Digital Library. 74 indexed citations
19.
Lü, Linyuan, Duanbing Chen, & Tao Zhou. (2012). small world yields the most effective information spreading. reroDoc Digital Library. 185 indexed citations
20.
Lü, Linyuan, Matúš Medo, Yi‐Cheng Zhang, & Damien Challet. (2009). Emergence of product differentiation from consumer heterogeneity and asymmetric information. reroDoc Digital Library. 9 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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