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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

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

Linyuan Lü publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Linyuan Lü sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Linyuan Lü D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Linyuan Lü sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Xiangxiang Zeng
Xiangxiang Zeng Hunan University
Mao-Bin Hu
Mao-Bin Hu University of Science and Technology of China
Naixue Xiong
Naixue Xiong Northeastern State University
Quan Zou
Quan Zou University of Electronic Science and Technology of China
Jianguo Liu
Jianguo Liu Michigan State University

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