World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
9777
World Ranking
5881
National Ranking
2664

Yan Yan 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 Yan 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: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Yan Yan 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 Yan 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Yan Yan is affiliated with the Illinois Institute of Technology in the United States. Their research spans multiple disciplines, including Engineering, Social Sciences, and Computer Science, with a focus on several subfields such as Education, Civil and Structural Engineering, Artificial Intelligence, Mechanical Engineering, and Safety Research.

The research topics covered by Yan Yan include Structural Engineering and Vibration Analysis, Structural Health Monitoring Techniques, Hydraulic and Pneumatic Systems, Disability Education and Employment, Educational and Psychological Assessments, Education Discipline and Inequality, and Telecommunications and Broadcasting Technologies.

Yan Yan has contributed to publications in various venues, with a notable presence in:

  • arXiv (Cornell University)
  • Acta Mechanica Sinica
  • Educational Assessment Evaluation and Accountability

Frequent coauthors collaborating with Yan Yan include Xiaofeng Yang, Yujie Shen, Xiaofu Liu, Zhipeng Wang, and Tess Miller.

Selected recent papers authored or coauthored by Yan Yan include:

  • Long text outline generation: Chinese text outline based on unsupervised framework and large language mode (2024, arXiv (Cornell University))
  • Factors influencing the accuracy of Canada's large-scale assessment data: Policies and practices of exclusion, absenteeism, and social promotion (2022, Educational Assessment Evaluation and Accountability)
  • Optimal design and dynamic performance analysis of HMDV suspension based on bridge network (2025, Acta Mechanica Sinica)
  • GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation (2024, arXiv (Cornell University))

Best Publications

  • Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

    Dan Xu;Elisa Ricci;Yan Yan;Jingkuan Song

  • A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification

    Yutian Lin;Xuanyi Dong;Liang Zheng;Yan Yan

  • Detecting anomalous events in videos by learning deep representations of appearance and motion

    Dan Xu;Yan Yan;Elisa Ricci;Elisa Ricci;Nicu Sebe

  • Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning

    Yu Wu;Yutian Lin;Xuanyi Dong;Yan Yan

  • Style Aggregated Network for Facial Landmark Detection

    Xuanyi Dong;Yan Yan;Wanli Ouyang;Yi Yang

  • Fortune teller: predicting your career path

    Ye Liu;Luming Zhang;Liqiang Nie;Yan Yan

  • Person Re-identification via Recurrent Feature Aggregation

    Yichao Yan;Bingbing Ni;Zhichao Song;Chao Ma

  • Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation

    Hao Tang;Dan Xu;Nicu Sebe;Yanzhi Wang

  • Multitask Linear Discriminant Analysis for View Invariant Action Recognition

    Yan Yan;Elisa Ricci;Ramanathan Subramanian;Gaowen Liu

  • Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition

    Yahong Han;Yi Yang;Yan Yan;Zhigang Ma

  • Progressive Learning for Person Re-Identification With One Example

    Yu Wu;Yutian Lin;Xuanyi Dong;Yan Yan

  • Dual Attention Matching for Audio-Visual Event Localization

    Yu Wu;Linchao Zhu;Yan Yan;Yi Yang

  • Recurrent Face Aging

    Wei Wang;Zhen Cui;Yan Yan;Jiashi Feng

  • Hybrid heterogeneous transfer learning through deep learning

    Joey Tianyi Zhou;Sinno Jialin Pan;Ivor W. Tsang;Yan Yan

  • Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

    Hao Tang;Dan Xu;Yan Yan;Philip H.S. Torr

  • Graph self-representation method for unsupervised feature selection

    Rongyao Hu;Xiaofeng Zhu;Debo Cheng;Wei He

  • Egocentric Daily Activity Recognition via Multitask Clustering

    Yan Yan;Elisa Ricci;Gaowen Liu;Nicu Sebe

  • Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

    Hao Tang;Dan Xu;Nicu Sebe;Yan Yan

  • Image Classification by Cross-Media Active Learning With Privileged Information

    Yan Yan;Feiping Nie;Wen Li;Chenqiang Gao

  • Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50

    Lawrence V. Fulton;Diane Dolezel;Jordan Harrop;Yan Yan

  • No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion

    Yan Yan;Elisa Ricci;Ramanathan Subramanian;Oswald Lanz

  • A Multi-Task Learning Framework for Head Pose Estimation under Target Motion

    Yan Yan;Elisa Ricci;Ramanathan Subramanian;Gaowen Liu

Frequent Co-Authors

Nicu Sebe
Nicu Sebe University of Trento
Tianbao Yang
Tianbao Yang Texas A&M University
Elisa Ricci
Elisa Ricci Fondazione Bruno Kessler
Jingkuan Song
Jingkuan Song Columbia University
Jason J. Corso
Jason J. Corso University of Michigan–Ann Arbor
Liqiang Nie
Liqiang Nie Shandong University
Yi Xu
Yi Xu Dalian University of Technology
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Xuanyi Dong
Xuanyi Dong Google (United States)

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