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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
26879
World Ranking
4431
National Ranking
597

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Linyuan Lü is a researcher affiliated with the University of Fribourg in Switzerland. Their work primarily spans the fields of Physics and Astronomy as well as Computer Science, with a significant focus on Statistical and Nonlinear Physics. They have contributed extensively to the study of complex networks and related phenomena.

The scientist's research encompasses a range of topics that include:

  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Mental Health Research Topics
  • Advanced Graph Neural Networks
  • Bioinformatics and Genomic Networks
  • Gene Regulatory Network Analysis
  • Nonlinear Dynamics and Pattern Formation

Linyuan Lü has published frequently in several scientific venues. The most noted among these are:

  • arXiv (Cornell University)
  • Communications Physics
  • Entropy
  • Journal of Physics Complexity
  • New Journal of Physics

Their recent publications illustrate the breadth and current relevance of their research. Selected papers include:

  • "Characterizing cycle structure in complex networks" (2021), Communications Physics
  • "Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics" (2023), Journal of Physics Complexity
  • "Synchronization in multiplex networks" (2024), Physics Reports
  • "Assessing and improving the structural robustness of global liner shipping system: A motif-based network science approach" (2023), Reliability Engineering & System Safety
  • "Local dominance unveils clusters in networks" (2024), Communications Physics

Frequent collaborators with Linyuan Lü include Tianlong Fan, Shuqi Xu, Manuel Sebastian Mariani, Rongmei Yang, and Yujie Zeng. These coauthors have contributed to multiple joint publications, reflecting established professional partnerships.

Best Publications

  • Link prediction in complex networks: A survey

    Linyuan Lü;Linyuan Lü;Linyuan Lü;Tao Zhou;Tao Zhou

  • Predicting missing links via local information

    Tao Zhou;Tao Zhou;Linyuan Lü;Yi-Cheng Zhang;Yi-Cheng Zhang

  • Vital nodes identification in complex networks

    Linyuan Lü;Linyuan Lü;Duanbing Chen;Xiao-Long Ren;Qian-Ming Zhang

  • The average distances in random graphs with given expected degrees

    Fan Chung;Linyuan Lu

  • Identifying influential nodes in complex networks

    Duanbing Chen;Linyuan Lü;Ming-Sheng Shang;Yi-Cheng Zhang;Yi-Cheng Zhang

  • A random graph model for massive graphs

    William Aiello;Fan Chung;Linyuan Lu

  • Recommender Systems

    Linyuan Lü;Matus Medo;Chi Ho Yeung;Yi-Cheng Zhang

  • Complex Graphs and Networks

    Fan Chung;Linyuan Lu

  • Leaders in social networks, the Delicious case.

    Linyuan Lü;Yi-Cheng Zhang;Yi-Cheng Zhang;Yi-Cheng Zhang;Chi Ho Yeung;Chi Ho Yeung;Chi Ho Yeung;Tao Zhou;Tao Zhou;Tao Zhou

  • Similarity index based on local paths for link prediction of complex networks.

    Linyuan Lü;Ci-Hang Jin;Tao Zhou;Tao Zhou

  • The Spectra of Random Graphs with Given Expected Degrees

    Fan R. K. Chung;Linyuan Lu;Van H. Vu

  • The H-index of a network node and its relation to degree and coreness

    Linyuan Lü;Tao Zhou;Qian-Ming Zhang;Qian-Ming Zhang;H. Eugene Stanley;H. Eugene Stanley

  • Spectra of random graphs with given expected degrees

    Fan Chung;Linyuan Lu;Van Vu

  • Link prediction based on local random walk

    Weiping Liu;Linyuan Lü

  • A random graph model for power law graphs

    William Aiello;Fan Chung;Linyuan Lu

  • The Average Distance in a Random Graph with Given Expected Degrees

    Fan R. K. Chung;Linyuan Lu

  • Duplication models for biological networks.

    Fan R. K. Chung;Linyuan Lu;T. Gregory Dewey;David J. Galas

  • Toward link predictability of complex networks

    Linyuan Lü;Liming Pan;Tao Zhou;Yi-Cheng Zhang;Yi-Cheng Zhang

  • Link prediction in weighted networks: The role of weak ties

    Linyuan Lü;Tao Zhou;Tao Zhou

  • Identifying influential nodes in large-scale directed networks: the role of clustering

    Duan Bing Chen;Hui Gao;Linyuan Lü;Tao Zhou

Frequent Co-Authors

Tao Zhou
Tao Zhou University of Electronic Science and Technology of China
Yi-Cheng Zhang
Yi-Cheng Zhang University of Fribourg
Mingsheng Shang
Mingsheng Shang Chinese Academy of Sciences
H. Eugene Stanley
H. Eugene Stanley Boston University
Zi-Ke Zhang
Zi-Ke Zhang Zhejiang University
Mao-Bin Hu
Mao-Bin Hu University of Science and Technology of China
Xiangxiang Zeng
Xiangxiang Zeng Hunan University
Naixue Xiong
Naixue Xiong Northeastern State University
Quan Zou
Quan Zou University of Electronic Science and Technology of China
Jinhu Lu
Jinhu Lu Beihang University

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