World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
24342
World Ranking
1410
National Ranking
732

Yingli Tian 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 Yingli Tian 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: 267 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Yingli Tian 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 Yingli Tian 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: 75 D-Index — 90th percentile

90% 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

  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to automatic facial expression analysis and human activity understanding
  • 2018 - IEEE Fellow For contributions to automatic facial expression analysis and human activity understanding

Overview

Yingli Tian is affiliated with the City University of New York in the United States and has a significant body of work in the fields of Computer Science and Engineering. Their research primarily spans areas such as Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, as well as Aerospace Engineering.

The scientist's work covers a variety of topics, including:

  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Anomaly Detection Techniques and Applications
  • 3D Shape Modeling and Analysis
  • Video Surveillance and Tracking Methods
  • Radiomics and Machine Learning in Medical Imaging
  • 3D Surveying and Cultural Heritage

Among recent papers associated with Yingli Tian are these selected publications:

  • "Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Monocular human pose estimation: A survey of deep learning-based methods" (2020), published in Computer Vision and Image Understanding
  • "Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects" (2021), published in Information Fusion
  • "LGAN: Lung segmentation in CT scans using generative adversarial network" (2020), published in Computerized Medical Imaging and Graphics
  • "Deep Learning-Based Action Detection in Untrimmed Videos: A Survey" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Yingli Tian frequently publishes in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Computer Vision and Image Understanding
  • Computerized Medical Imaging and Graphics

The scientist collaborates regularly with several coauthors including Longlong Jing, Oğuz Akın, Elahe Vahdani, and Jingya Liu.

Yingli Tian has received recognition in the form of fellowships, including being named IEEE Fellow in 2018 and Fellow of the International Association for Pattern Recognition (IAPR) in 2020, both citing contributions to automatic facial expression analysis and human activity understanding.

Best Publications

  • Comprehensive database for facial expression analysis

    T. Kanade;J.F. Cohn;Yingli Tian

  • Recognizing action units for facial expression analysis

    Y.-I. Tian;T. Kanade;J.F. Cohn

  • Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

    Longlong Jing;Yingli Tian

  • Recognizing actions using depth motion maps-based histograms of oriented gradients

    Xiaodong Yang;Chenyang Zhang;YingLi Tian

  • EigenJoints-based action recognition using Naïve-Bayes-Nearest-Neighbor

    Xiaodong Yang;Ying Li Tian

  • Text String Detection From Natural Scenes by Structure-Based Partition and Grouping

    Chucai Yi;YingLi Tian

  • Appearance models for occlusion handling

    Andrew W. Senior;Arun Hampapur;Ying-li Tian;Lisa M. Brown

  • Super Normal Vector for Activity Recognition Using Depth Sequences

    Xiaodong Yang;YingLi Tian

  • Monocular human pose estimation: A survey of deep learning-based methods

    Yucheng Chen;Yingli Tian;Mingyi He

  • Effective 3D action recognition using EigenJoints

    Xiaodong Yang;YingLi Tian

  • Robust and efficient foreground analysis for real-time video surveillance

    Ying-Li Tian;M. Lu;A. Hampapur

  • Enabling video privacy through computer vision

    A. Senior;S. Pankanti;A. Hampapur;L. Brown

  • Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity

    Ying-li Tian;T. Kanade;J.F. Cohn

  • Evaluation of Face Resolution for Expression Analysis

    Ying-li Tian

  • Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos

    YingLi Tian;R. S. Feris;Haowei Liu;A. Hampapur

  • Facial Expression Recognition

    Yingli Tian;Takeo Kanade;Jeffrey F. Cohn

  • Dual-state parametric eye tracking

    Ying-li Tian;T. Kanade;J.F. Cohn

  • Pyramid of Spatial Relatons for Scene-Level Land Use Classification

    Shizhi Chen;YingLi Tian

  • System and method for automatically detecting neutral expressionless faces in digital images

    Ying-Li Tian;Rudolf M. Bolle

  • Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects

    Shuihua Wang;M. Emre Celebi;Yu-Dong Zhang;Xiang Yu

  • Smart surveillance: applications, technologies and implications

    A. Hampapur;L. Brown;J. Connell;S. Pankanti

Frequent Co-Authors

Arun Hampapur
Arun Hampapur Bloom Value
Xiaodong Yang
Xiaodong Yang Nvidia (United Kingdom)
Andrew W. Senior
Andrew W. Senior Google (United States)
Lisa M. Brown
Lisa M. Brown Albert Einstein College of Medicine
Rogerio Feris
Rogerio Feris IBM (United States)
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Jonathan H. Connell
Jonathan H. Connell IBM (United States)
Jizhong Xiao
Jizhong Xiao City University of New York
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Liangliang Cao
Liangliang Cao Google (United States)

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