World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 33 12600 12232 5105 4873 149 5197

Yu-Ru Lin publications per year

The chart shows the history of publications by Yu-Ru Lin between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yu-Ru Lin published across 24 years, from 2002 to 2025, averaging 11.6 papers a year. Output peaked at 31 publications in 2016. 44 of the 279 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2016. 2002: 1 publication 2003: 1 publication 2004: 0 publications 2005: 0 publications 2006: 3 publications 2007: 5 publications 2008: 8 publications 2009: 10 publications 2010: 2 publications 2011: 9 publications 2012: 11 publications 2013: 10 publications 2014: 17 publications 2015: 14 publications 2016: 31 publications 2017: 27 publications 2018: 14 publications 2019: 10 publications 2020: 10 publications 2021: 11 publications 2022: 16 publications 2023: 25 publications 2024: 17 publications 2025: 27 publications
2002 2025

279 publications in total across all disciplines

View publications per year as a table
Yu-Ru Lin: publications per year, 2002 to 2025
Year Publications
2002 1
2003 1
2004 0
2005 0
2006 3
2007 5
2008 8
2009 10
2010 2
2011 9
2012 11
2013 10
2014 17
2015 14
2016 31
2017 27
2018 14
2019 10
2020 10
2021 11
2022 16
2023 25
2024 17
2025 27
Total 279
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Yu-Ru Lin 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 Yu-Ru Lin sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 142–151 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609 149
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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Yu-Ru Lin 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 Yu-Ru Lin sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 32–33 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983 33
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Overview

Yu-Ru Lin is affiliated with the University of Pittsburgh in the United States. The scientific work focuses primarily on the social sciences, with significant contributions to subfields including sociology and political science, artificial intelligence, communication, statistical and nonlinear physics, and renewable energy, sustainability, and the environment.

The main research topics covered by Yu-Ru Lin include:

  • Social Media and Politics
  • Misinformation and Its Impacts
  • Opinion Dynamics and Social Influence
  • Complex Network Analysis Techniques
  • Aquaculture disease management and microbiota
  • Electrocatalysts for Energy Conversion
  • Advanced battery technologies research

Yu-Ru Lin has contributed to various journals and conference venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Frontiers in Marine Science
  • ACM Transactions on Interactive Intelligent Systems
  • Advanced Energy and Sustainability Research

Recent scholarly papers by Yu-Ru Lin and collaborators are:

  • #Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtags, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • More Voices Than Ever? Quantifying Media Bias in Networks, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • The dynamics of Twitter users' gun narratives across major mass shooting events, 2020, Humanities and Social Sciences Communications

Additional notable papers authored by others but relevant within the broader research field include:

  • Data-Driven Computational Social Science: A Survey, 2020, Big Data Research
  • Accuracy of long-form data in the Taiwan cancer registry, 2021, Journal of the Formosan Medical Association

Yu-Ru Lin collaborates frequently with several researchers, including:

  • Wen-Ting Chung
  • Yongsu Ahn
  • Huai-Ting Huang
  • Yeh-Fang Hu
  • Yan-Gu Lin

Best Publications

  • Facetnet: a framework for analyzing communities and their evolutions in dynamic networks

    Yu-Ru Lin;Yun Chi;Shenghuo Zhu;Hari Sundaram

  • Analyzing communities and their evolutions in dynamic social networks

    Yu-Ru Lin;Yun Chi;Shenghuo Zhu;Hari Sundaram

  • Recipe recommendation using ingredient networks

    Chun-Yuen Teng;Yu-Ru Lin;Lada A. Adamic

  • How Does the Data Sampling Strategy Impact the Discovery of Information Diffusion in Social Media

    Munmun De Choudhury;Yu Ru Lin;Hari Sundaram;K. Selçuk Candan

  • MetaFac: community discovery via relational hypergraph factorization

    Yu-Ru Lin;Jimeng Sun;Paul Castro;Ravi Konuru

  • Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time

    Nan Cao;Yu-Ru Lin;Xiaohua Sun;D. Lazer

  • #FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

    Jian Zhao;Nan Cao;Zhen Wen;Yale Song

  • FacetAtlas: Multifaceted Visualization for Rich Text Corpora

    Nan Cao;Jimeng Sun;Yu-Ru Lin;D Gotz

  • Rising tides or rising stars?: Dynamics of shared attention on Twitter during media events.

    Yu Ru Lin;Brian Keegan;Drew Margolin;David Lazer

  • TargetVue: Visual Analysis of Anomalous User Behaviors in Online Communication Systems

    Nan Cao;Conglei Shi;Sabrina Lin;Jie Lu

  • FairSight: Visual Analytics for Fairness in Decision Making

    Yongsu Ahn;Yu-Ru Lin

  • Tracking employment shocks using mobile phone data

    Jameson Lawrence Toole;Yu-Ru Lin;Erich Muehlegger;Daniel Shoag

  • Discovery of Blog Communities based on Mutual Awareness

    Yu-Ru Lin;Hari Sundaram;Yun Chi;Jun Tatemura

  • Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data

    Nan Cao;Chaoguang Lin;Qiuhan Zhu;Yu-Ru Lin

  • Blog Community Discovery and Evolution Based on Mutual Awareness Expansion

    Yu-Ru Lin;Hari Sundaram;Yun Chi;Junichi Tatemura

  • #Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtags

    Yu-Ru Lin;Drew Margolin;Brian Keegan;Andrea Baronchelli

  • Splog detection using self-similarity analysis on blog temporal dynamics

    Yu-Ru Lin;Hari Sundaram;Yun Chi;Junichi Tatemura

  • The ripple of fear, sympathy and solidarity during the Boston bombings

    Yu-Ru Lin;Drew Margolin

  • Connecting content to community in social media via image content, user tags and user communication

    Munmun De Choudhury;Hari Sundaram;Yu-Ru Lin;Ajita John

  • SocialHelix: visual analysis of sentiment divergence in social media

    Nan Cao;Lu Lu;Yu-Ru Lin;Fei Wang

  • Voices of victory: a computational focus group framework for tracking opinion shift in real time

    Yu-Ru Lin;Drew Margolin;Brian Keegan;David Lazer

  • More Voices Than Ever? Quantifying Media Bias in Networks

    Yu-Ru Lin;James P. Bagrow;David Lazer

  • Data-driven Computational Social Science: A Survey

    Jun Zhang;Wei Wang;Feng Xia;Yu-Ru Lin

  • Twitter in academic events

    Denis Parra;Christoph Trattner;Diego Gómez;Matías Hurtado

  • #Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtag

    Yu-Ru Lin;Drew Margolin;Brian Keegan;Andrea Baronchelli

Frequent Co-Authors

Hari Sundaram
Hari Sundaram University of Illinois at Urbana-Champaign
Nan Cao
Nan Cao Tongji University
David Lazer
David Lazer Northeastern University
Belle L. Tseng
Belle L. Tseng Apple (United States)
Yun Chi
Yun Chi Robinhood
Jimeng Sun
Jimeng Sun University of Illinois at Urbana-Champaign
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Karen S. Quigley
Karen S. Quigley Northeastern University
Lisa Feldman Barrett
Lisa Feldman Barrett Northeastern University

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