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 44 7493 7274 3260 3135 244 9534

Yan Huang publications per year

The chart shows the history of publications by Yan Huang between 1986 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yan Huang published across 41 years, from 1986 to 2026, averaging 10.4 papers a year. Output peaked at 53 publications in 2023. 31 of the 425 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1986 to 2026. Vertical axis: number of publications, 0 to 53. Peak 53 publications in 2023. 1986: 1 publication 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 0 publications 1999: 1 publication 2000: 1 publication 2001: 4 publications 2002: 7 publications 2003: 14 publications 2004: 5 publications 2005: 13 publications 2006: 10 publications 2007: 13 publications 2008: 19 publications 2009: 18 publications 2010: 15 publications 2011: 26 publications 2012: 17 publications 2013: 14 publications 2014: 15 publications 2015: 9 publications 2016: 11 publications 2017: 23 publications 2018: 23 publications 2019: 17 publications 2020: 14 publications 2021: 15 publications 2022: 18 publications 2023: 53 publications 2024: 15 publications 2025: 30 publications 2026: 1 publication
1986 2026

425 publications in total across all disciplines

View publications per year as a table
Yan Huang: publications per year, 1986 to 2026
Year Publications
1986 1
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 1
1994 1
1995 0
1996 0
1997 1
1998 0
1999 1
2000 1
2001 4
2002 7
2003 14
2004 5
2005 13
2006 10
2007 13
2008 19
2009 18
2010 15
2011 26
2012 17
2013 14
2014 15
2015 9
2016 11
2017 23
2018 23
2019 17
2020 14
2021 15
2022 18
2023 53
2024 15
2025 30
2026 1
Total 425
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Yan Huang 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 Yan Huang 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, 242–251 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: 244 publications — 61st percentile

61% 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
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
242–251 408 244
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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Yan Huang 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 Yan Huang 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, 44–45 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: 44 D-Index — 48th percentile

48% 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
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763 44
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

Yan Huang is affiliated with the University of North Texas in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a substantial focus on Artificial Intelligence, explored in 45 publications, along with contributions to Sociology and Political Science, Computer Science Applications, Electrical and Electronic Engineering, and Information Systems.

Their work addresses several specialized topics, including:

  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • Adversarial Robustness in Machine Learning
  • Cryptography and Data Security
  • Privacy, Security, and Data Protection
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques

Yan Huang has published in multiple venues, with notable contributions to:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • High-Confidence Computing
  • Future Generation Computer Systems
  • Big Data Mining and Analytics

Frequent collaborators include:

  • Zhenzhen Xie (9 joint publications)
  • Junjie Pang (8 joint publications)
  • Zhipeng Cai (6 joint publications)
  • Liang Wang (3 joint publications)
  • Reza M. Parizi (2 joint publications)

Among recent research outputs, several papers highlight the scope and evolution of Yan Huang's work:

  • A survey on security and privacy of federated learning, 2020, Future Generation Computer Systems
  • Security and Privacy in Metaverse: A Comprehensive Survey, 2023, Big Data Mining and Analytics
  • Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT, 2020, IEEE Internet of Things Journal
  • Exploring personalization via federated representation Learning on non-IID data, 2023, Neural Networks
  • Computational Approaches to Detect Illicit Drug Ads and Find Vendor Communities Within Social Media Platforms, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics

The research emphasis on privacy, security, and federated learning is evident, illustrated by topics such as personalized learning on non-IID data and privacy-preserving mechanisms in decentralized environments. Yan Huang's studies also cover the intersection of machine learning with social and biological data contexts, as indicated by their work on illicit drug ad detection via computational methods.

Best Publications

  • T-drive: driving directions based on taxi trajectories

    Jing Yuan;Yu Zheng;Chengyang Zhang;Wenlei Xie

  • Map-matching for low-sampling-rate GPS trajectories

    Yin Lou;Chengyang Zhang;Yu Zheng;Xing Xie

  • Discovering colocation patterns from spatial data sets: a general approach

    Y. Huang;S. Shekhar;H. Xiong

  • Advances in Spatial and Temporal Databases

    Michael Gertz;Matthias Renz;Xiaofang Zhou;Erik Hoel

  • Discovering Spatial Co-location Patterns: A Summary of Results

    Shashi Shekhar;Yan Huang

  • Efficient Privacy-Preserving Biometric Identification

    Yan Huang;Lior Malka;David Evans;Jonathan Katz

  • Mining Co-Location Patterns with Rare Events from Spatial Data Sets

    Yan Huang;Jian Pei;Hui Xiong

  • Propagation networks for recognition of partially ordered sequential action

    Yifan Shi;Yan Huang;D. Minnen;A. Bobick

  • Large scale real-time ridesharing with service guarantee on road networks

    Yan Huang;Favyen Bastani;Ruoming Jin;Xiaoyang Sean Wang

  • A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets

    Yan Huang;Liqin Zhang;Pusheng Zhang

  • Towards reducing taxicab cruising time using spatio-temporal profitability maps

    Jason W. Powell;Yan Huang;Favyen Bastani;Minhe Ji

  • Evacuation planning: a capacity constrained routing approach

    Qingsong Lu;Yan Huang;Shashi Shekhar

  • A Framework for Discovering Co-location Patterns in Data Sets with Extended Spatial Objects

    Hui Xiong;Shashi Shekhar;Yan Huang;Vipin Kumar

  • Mining confident co-location rules without a support threshold

    Yan Huang;Hui Xiong;Shashi Shekhar;Jian Pei

  • Terahertz emission and detection both based on high-Tc superconductors: Towards an integrated receiver

    D. Y. An;J. Yuan;N. Kinev;M. Y. Li

  • Discovering Co-location Patterns from Spatial Datasets: A General Approach

    Yan Huang;Shashi Shekhar;Hui Xiong

  • Notice of Removal: VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

    Unknown

  • Relational Network for Skeleton-Based Action Recognition

    Wu Zheng;Lin Li;Zhaoxiang Zhang;Yan Huang

  • Integration of wireless sensor networks in environmental monitoring cyber infrastructure

    Jue Yang;Chengyang Zhang;Xinrong Li;Yan Huang

  • Cloaking locations for anonymous location based services: a hybrid approach

    Chengyang Zhang;Yan Huang

  • Semi-Supervised GMM and DNN Acoustic Model Training with Multi-system Combination and Confidence Re-calibration

    Yan Huang;Dong Yu;Yifan Gong;Chaojun Liu

  • On the Relationships between Clustering and Spatial Co-location Pattern Mining

    Yan Huang;Pusheng Zhang

  • SPOT: locating social media users based on social network context

    Longbo Kong;Zhi Liu;Yan Huang

  • Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification

    Yan Huang;Jinsong Xu;Qiang Wu;Zhedong Zheng

Frequent Co-Authors

Yifan Gong
Yifan Gong Microsoft (United States)
Shashi Shekhar
Shashi Shekhar University of Minnesota
Jinyu Li
Jinyu Li Microsoft (United States)
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Quanxing Zhang
Quanxing Zhang Nanjing University
Jean-Claude Thill
Jean-Claude Thill University of North Carolina at Charlotte
Miaogen Shen
Miaogen Shen Chinese Academy of Sciences
Xiaoshuang Chen
Xiaoshuang Chen Chinese Academy of Sciences
Ruoming Jin
Ruoming Jin Kent State University
Bill P. Buckles
Bill P. Buckles University of North Texas

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