World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
11990
World Ranking
6718
National Ranking
901

Dong Yi 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 Dong Yi 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: 148 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.

Dong Yi 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 Dong Yi 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Dong Yi is affiliated with Winsense Co., Ltd. in China. Their research spans primarily the fields of Computer Science and Medicine, with publication contributions totaling 44 and 34 respectively.

Their work covers a variety of subfields including:

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Cancer Research
  • Hepatology
  • Molecular Biology

Dong Yi has explored several main topics in their research, notably:

  • Advanced Steganography and Watermarking Techniques
  • Video Coding and Compression Technologies
  • Digital Media Forensic Detection
  • Cancer-related molecular mechanisms research
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Liver Disease Diagnosis and Treatment
  • Circular RNAs in diseases

Recent representative papers include:

  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study," 2020, IEEE Transactions on Image Processing
  • "Inferring LncRNA-disease associations based on graph autoencoder matrix completion," 2020, Computational Biology and Chemistry
  • "Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph," 2023, IEEE Transactions on Neural Networks and Learning Systems
  • "IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling," 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • "Alberta Stroke Program Early Computed Tomography Score, Infarct Core Volume, and Endovascular Therapy Outcomes in Patients With Large Infarct," 2023, JAMA Neurology

Frequent co-authors in Dong Yi's research collaborations include:

  • Xinghao Jiang
  • Tanfeng Sun
  • Kathleen Möller
  • Christoph F. Dietrich
  • Christian Jenssen

The scientist's publications are often found in these venues with multiple contributions:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • Medical Ultrasonography
  • International Journal of Digital Crime and Forensics
  • Endoscopic Ultrasound

Best Publications

  • Learning Face Representation from Scratch

    Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li

  • Deep Metric Learning for Person Re-identification

    Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li

  • A face antispoofing database with diverse attacks

    Zhiwei Zhang;Junjie Yan;Sifei Liu;Zhen Lei

  • High-fidelity Pose and Expression Normalization for face recognition in the wild

    Xiangyu Zhu;Zhen Lei;Junjie Yan;Dong Yi

  • Salient Color Names for Person Re-identification

    Yang Yang;Jimei Yang;Junjie Yan;Shengcai Liao

  • When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition

    Guosheng Hu;Yongxin Yang;Dong Yi;Josef Kittler

  • The CASIA NIR-VIS 2.0 Face Database

    Stan Z. Li;Dong Yi;Zhen Lei;Shengcai Liao

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Towards Pose Robust Face Recognition

    Dong Yi;Zhen Lei;Stan Z. Li

  • Age Estimation by Multi-scale Convolutional Network

    Dong Yi;Zhen Lei;Stan Z. Li

  • Face liveness detection by learning multispectral reflectance distributions

    Zhiwei Zhang;Dong Yi;Zhen Lei;Stan Z. Li

  • Competition on counter measures to 2-D facial spoofing attacks

    Murali Mohan Chakka;Andre Anjos;Sebastien Marcel;Roberto Tronci

  • Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph

    Longyin Wen;Wenbo Li;Junjie Yan;Zhen Lei

  • Face matching between near infrared and visible light images

    Dong Yi;Rong Liu;RuFeng Chu;Zhen Lei

  • Learn to Combine Multiple Hypotheses for Accurate Face Alignment

    Junjie Yan;Zhen Lei;Dong Yi;Stan Z. Li

  • Learning mappings for face synthesis from near infrared to visual light images

    Jie Chen;Dong Yi;Jimei Yang;Guoying Zhao

  • Deep Metric Learning for Practical Person Re-Identification

    Dong Yi;Zhen Lei;Stan Z. Li

  • A benchmark study of large-scale unconstrained face recognition

    Shengcai Liao;Zhen Lei;Dong Yi;Stan Z. Li

  • Heterogeneous Face Recognition from Local Structures of Normalized Appearance

    Shengcai Liao;Dong Yi;Zhen Lei;Rui Qin

  • Multi-label CNN based pedestrian attribute learning for soft biometrics

    Jianqing Zhu;Shengcai Liao;Dong Yi;Zhen Lei

Frequent Co-Authors

Stan Z. Li
Stan Z. Li Westlake University
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Shengcai Liao
Shengcai Liao United Arab Emirates University
Junjie Yan
Junjie Yan SenseTime
Longyin Wen
Longyin Wen ByteDance
Jimei Yang
Jimei Yang Adobe Systems (United States)
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Timothy M. Hospedales
Timothy M. Hospedales University of Edinburgh
Josef Kittler
Josef Kittler University of Surrey
Yongxin Yang
Yongxin Yang Queen Mary University of London

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With these diverse, accessible online degree options, Computer Science students can carve unique career paths tailored to their professional interests and goals.

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