World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
11444
World Ranking
6385
National Ranking
848

Baocai Yin 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 Baocai Yin 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: 570 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Baocai Yin 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 Baocai Yin 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Baocai Yin is affiliated with Beijing University of Technology in China. Their research primarily focuses on Computer Science and Engineering, with a significant portion dedicated to subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Building and Construction, Transportation, and Signal Processing.

The scientist's work covers a range of topics including:

  • Traffic Prediction and Management Techniques
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition

Baocai Yin has authored papers published in several notable venues. These include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Among recent publications attributed to Baocai Yin are:

  • Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions, 2022, IEEE Transactions on Intelligent Transportation Systems
  • Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Tracking the sliding of grain boundaries at the atomic scale, 2022, Science
  • A Spatial-Temporal Attention Approach for Traffic Prediction, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Hierarchical Graph Convolution Network for Traffic Forecasting, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include:

  • Yongli Hu
  • Yanfeng Sun
  • Junbin Gao
  • Yong Zhang
  • Shaofan Wang

Best Publications

  • Learning to Detect Salient Objects with Image-Level Supervision

    Lijun Wang;Huchuan Lu;Yifan Wang;Mengyang Feng

  • Learning Uncertain Convolutional Features for Accurate Saliency Detection

    Pingping Zhang;Dong Wang;Huchuan Lu;Hongyu Wang

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

    Xueyan Yin;Genze Wu;Jinze Wei;Yanming Shen

  • Learning to Restore Low-Light Images via Decomposition-and-Enhancement

    Ke Xu;Xin Yang;Baocai Yin;Rynson W.H. Lau

  • IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

    Prasanna Porwal;Prasanna Porwal;Samiksha Pachade;Manesh Kokare;Girish Deshmukh

  • Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

    Kan Guo;Yongli Hu;Zhen Qian;Hao Liu

  • A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template

    Jun Miao;Baocai Yin;Kongqiao Wang;Lansun Shen

  • Spiking Transformers for Event-based Single Object Tracking

    Unknown

  • Data gathering in wireless sensor networks through intelligent compressive sensing

    Jin Wang;Shaojie Tang;Baocai Yin;Xiang-Yang Li

  • Hierarchical Graph Convolution Network for Traffic Forecasting

    Kan Guo;Yongli Hu;Yanfeng Sun;Sean Qian

  • Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation

    Kan Guo;Yongli Hu;Zhen Qian;Yanfeng Sun

  • A Spatial–Temporal Attention Approach for Traffic Prediction

    Xiaoming Shi;Heng Qi;Yanming Shen;Genze Wu

  • MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification.

    Hongchen Tan;Xiuping Liu;Shengjing Tian;Baocai Yin

  • Yawning Detection for Monitoring Driver Fatigue

    Xiao Fan;Bao-Cai Yin;Yan-Feng Sun

  • 3D face recognition using local binary patterns

    Hengliang Tang;Baocai Yin;Yanfeng Sun;Yongli Hu

  • Object Tracking by Jointly Exploiting Frame and Event Domain.

    Jiqing Zhang;Xin Yang;Yingkai Fu;Xiaopeng Wei

  • DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution With Large Factors

    Xin Yang;Haiyang Mei;Jiqing Zhang;Ke Xu

  • Hyperspectral Image Classification Based on Deep Deconvolution Network With Skip Architecture

    Xiaorui Ma;Anyan Fu;Jie Wang;Hongyu Wang

  • Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis

    Hongchen Tan;Xiuping Liu;Xin Li;Yi Zhang

  • An improved active shape model for face alignment

    Wei Wang;Shiguang Shan;Wen Gao;Bo Cao

  • Incomplete Descriptor Mining With Elastic Loss for Person Re-Identification

    Unknown

  • Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network

    Junbiao Pang;Jing Huang;Yong Du;Haitao Yu

  • Screen Content Coding Based on HEVC Framework

    Weijia Zhu;Wenpeng Ding;Jizheng Xu;Yunhui Shi

  • Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

    Yanfeng Sun;Junbin Gao;Xia Hong;Bamdev Mishra

  • Multiscale Dynamic Features Based Driver Fatigue Detection

    Bao-Cai Yin;Xiao Fan;Yan-Feng Sun

  • Where Is My Mirror

    Xin Yang;Haiyang Mei;Ke Xu;Xiaopeng Wei

  • KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis

    Hongchen Tan;Xiuping Liu;Meng Liu;Baocai Yin

Frequent Co-Authors

Xin Yang
Xin Yang Sun Yat-sen University
Junbin Gao
Junbin Gao University of Sydney
Qiang Zhang
Qiang Zhang Dalian University of Technology
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Huchuan Lu
Huchuan Lu Dalian University of Technology
Xu Jizheng
Xu Jizheng ByteDance
Ruiqin Xiong
Ruiqin Xiong Peking University
Hongbo Fu
Hongbo Fu City University of Hong Kong
Shaojie Tang
Shaojie Tang The University of Texas at Dallas
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China

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