World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11497
World Ranking
4571
National Ranking
610

Shengyong Chen 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 Shengyong Chen 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 414 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Shengyong Chen 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 Shengyong Chen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Shengyong Chen is affiliated with Tianjin University of Technology in China and has contributed extensively to research in computer science and engineering. Their work encompasses a significant number of publications spanning various subfields, primarily focusing on computer vision and pattern recognition, artificial intelligence, aerospace engineering, electrical and electronic engineering, and biomedical engineering.

Their research topics include:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Icing and De-icing Technologies
  • Anomaly Detection Techniques and Applications
  • Advanced Vision and Imaging

The scientist's frequently published venues highlight their engagement with well-recognized platforms in the field. These publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Intelligent Transportation Systems

Recent notable research papers by Shengyong Chen are:

  • SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning, 2022, Medical Image Analysis
  • Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification, 2021, arXiv (Cornell University)
  • A Novel Densely Connected Convolutional Neural Network for Sea-State Estimation Using Ship Motion Data, 2020, IEEE Transactions on Instrumentation and Measurement
  • Reachability Analysis of Networked Finite State Machine With Communication Losses: A Switched Perspective, 2020, IEEE Journal on Selected Areas in Communications
  • Rainformer: Features Extraction Balanced Network for Radar-Based Precipitation Nowcasting, 2022, IEEE Geoscience and Remote Sensing Letters

Shengyong Chen collaborates frequently with a group of co-authors, indicating active research partnerships. Frequent collaborators include:

  • Fan Shi
  • Jianhua Zhang
  • Xiufeng Liu
  • Xu Cheng

In addition to journal and conference publications, Shengyong Chen has contributions to academic books, such as one published by Springer Nature titled Computational Methods for Blade Icing Detection of Wind Turbines, projected for publication in 2025.

Best Publications

  • SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

    Dongyan Guo;Jun Wang;Ying Cui;Zhenhua Wang

  • Kalman Filter for Robot Vision: A Survey

    S. Y. Chen

  • Active vision in robotic systems: A survey of recent developments

    Shengyong Chen;Youfu Li;Ngai Ming Kwok

  • Game theory for Wireless Sensor Networks: a survey.

    Haiyan Shi;Wan-Liang Wang;Ngai Ming Kwok;Sheng-Yong Chen

  • Artificial Intelligence in Civil Engineering

    Pengzhen Lu;Shengyong Chen;Yujun Zheng

  • Intelligent Video Systems and Analytics: A Survey

    Honghai Liu;Shengyong Chen;Naoyuki Kubota

  • Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light

    S.Y. Chen;Y.F. Li;Jianwei Zhang

  • Initial Alignment by Attitude Estimation for Strapdown Inertial Navigation Systems

    Lubin Chang;Jingshu Li;Shengyong Chen

  • Evolutionary optimization for disaster relief operations

    Yu-Jun Zheng;Sheng-Yong Chen;Hai-Feng Ling

  • A hybrid fireworks optimization method with differential evolution operators

    Yu-Jun Zheng;Xin-Li Xu;Hai-Feng Ling;Sheng-Yong Chen

  • Traffic Dynamics on Complex Networks: A Survey

    Shengyong Chen;Wei Huang;Carlo Cattani;Giuseppe Altieri

  • Vision sensor planning for 3-D model acquisition

    S.Y. Chen;Y.F. Li

  • Multiobjective fireworks optimization for variable-rate fertilization in oil crop production

    Yu-Jun Zheng;Qin Song;Sheng-Yong Chen

  • Recent Advances in Morphological Cell Image Analysis

    Shengyong Chen;Mingzhu Zhao;Guang Wu;Chunyan Yao

  • Generative adversarial network based telecom fraud detection at the receiving bank

    Yu-Jun Zheng;Yu-Jun Zheng;Xiao-Han Zhou;Wei-Guo Sheng;Yu Xue

  • Population Classification in Fire Evacuation: A Multiobjective Particle Swarm Optimization Approach

    Yu-Jun Zheng;Hai-Feng Ling;Jin-Yun Xue;Sheng-Yong Chen

  • Optimization of deep convolutional neural network for large scale image retrieval

    Cong Bai;Ling Huang;Xiang Pan;Jianwei Zheng

  • Active Sensor Planning for Multiview Vision Tasks

    Shengyong Chen;Y. F. Li;Jianwei Zhang;Wanliang Wang

  • A Hierarchical Model Incorporating Segmented Regions and Pixel Descriptors for Video Background Subtraction

    Shengyong Chen;Jianhua Zhang;Youfu Li;Jianwei Zhang

  • Deep learning for multiple object tracking: a survey

    Yingkun Xu;Xiaolong Zhou;Shengyong Chen;Fenfen Li

  • Letters: Leader-following consensus of discrete-time multi-agent systems with observer-based protocols

    Xiaole Xu;Shengyong Chen;Wei Huang;Lixin Gao

Frequent Co-Authors

Youfu Li
Youfu Li City University of Hong Kong
Jianwei Zhang
Jianwei Zhang Universität Hamburg
Houxiang Zhang
Houxiang Zhang Norwegian University of Science and Technology
Honghai Liu
Honghai Liu University of Portsmouth
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Ming Li
Ming Li University of Maryland Center For Environmental Sciences
Carlo Cattani
Carlo Cattani Tuscia University
Guangcan Liu
Guangcan Liu Southeast University
Yu Xue
Yu Xue Nanjing University of Information Science and Technology
Lixin Gao
Lixin Gao University of Massachusetts Amherst

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