World's Best Scientists 2026 revealed!

Yongbing Zhang 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 Yongbing Zhang 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+

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

Yongbing Zhang 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 Yongbing Zhang 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+

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

Overview

Yongbing Zhang is affiliated with Tsukuba University of Technology in Japan and has an extensive research portfolio spanning engineering and computer science. Their work particularly focuses on electrical and electronic engineering, computer networks and communications, and computer vision and pattern recognition, with additional interests in mechanical and biomedical engineering.

The main fields of study in Yongbing Zhang's research include:

  • Engineering
  • Computer Science

Subfields of study that Zhang has contributed to are:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering
  • Biomedical Engineering

The primary research topics covered in their publications involve:

  • Advanced Optical Network Technologies
  • Advanced Photonic Communication Systems
  • Optical Network Technologies
  • Extraction and Separation Processes
  • Software-Defined Networks and 5G
  • Metal Extraction and Bioleaching
  • Minerals Flotation and Separation Techniques

Yongbing Zhang has published multiple papers in various journals, including these representative works:

  • "JIRA: Joint Incentive Design and Resource Allocation for Edge-Based Real-Time Video Streaming Systems," 2022, IEEE Transactions on Wireless Communications
  • "RCMNet: A deep learning model assists CAR-T therapy for leukemia," 2022, Computers in Biology and Medicine
  • "Enhanced impurity removal of ionic rare earth leaching solution through the use of lauryl glucoside," 2022, Minerals Engineering
  • "Reliability-Aware VNF Placement Using a Probability-Based Approach," 2021, IEEE Transactions on Network and Service Management
  • "Comparison of switching policies in terms of switching cost and network performance in static SDM-EONs," 2020, Optical Switching and Networking

Frequent publication venues where Zhang's work appears include:

  • Journal of Lightwave Technology
  • Computer Networks
  • arXiv (Cornell University)
  • Journal of Optical Communications and Networking
  • IEEE Transactions on Wireless Communications

Yongbing Zhang has collaborated extensively with other researchers. Frequent co-authors include:

  • Mingcong Yang
  • Weichang Zheng
  • Chenxiao Zhang
  • Yunyi Wu
  • Yu Zheng

Best Publications

  • Second-Order Attention Network for Single Image Super-Resolution

    Tao Dai;Jianrui Cai;Yongbing Zhang;Shu-Tao Xia

  • Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks

    Yuan Yuan;Siyuan Liu;Jiawei Zhang;Yongbing Zhang

  • STAT: Spatial-Temporal Attention Mechanism for Video Captioning

    Chenggang Yan;Yunbin Tu;Xingzheng Wang;Yongbing Zhang

  • Optimal Load Balancing in Distributed Computer Systems

    Hisao Kameda;Jie Li;Chonggun Kim;Yongbing Zhang

  • Residual Highway Convolutional Neural Networks for in-loop Filtering in HEVC.

    Yongbing Zhang;Tao Shen;Xiangyang Ji;Yun Zhang

  • CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking

    Jian Zhang;Ruiqin Xiong;Chen Zhao;Yongbing Zhang

  • Interpolation-Dependent Image Downsampling

    Yongbing Zhang;Debin Zhao;Jian Zhang;Ruiqin Xiong

  • Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution

    Yongbing Zhang;Siyuan Liu;Chao Dong;Xinfeng Zhang

  • Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior

    Chen Zhao;Jian Zhang;Siwei Ma;Xiaopeng Fan

  • Rapid and robust two-dimensional phase unwrapping via deep learning.

    Teng Zhang;Shaowei Jiang;Zixin Zhao;Krishna Dixit

  • Light-Field Depth Estimation via Epipolar Plane Image Analysis and Locally Linear Embedding

    Yongbing Zhang;Huijin Lv;Yebin Liu;Haoqian Wang

  • Routing, spectrum, and core assignment in SDM-EONS with MCF: node-arc ILP/MILP methods and an efficient XT-aware heuristic algorithm

    Mingcong Yang;Yongbing Zhang;Qian Wu

  • Unsupervised Blind Image Quality Evaluation via Statistical Measurements of Structure, Naturalness, and Perception

    Yutao Liu;Ke Gu;Yongbing Zhang;Xiu Li

  • Self-learning based Fourier ptychographic microscopy.

    Yongbing Zhang;Weixin Jiang;Lei Tian;Laura Waller

  • CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution

    Yongbing Zhang;Yulun Zhang;Jian Zhang;Qionghai Dai

  • Packet Video Error Concealment With Auto Regressive Model

    Yongbing Zhang;Xinguang Xiang;Debin Zhao;Siwe Ma

  • Adaptive Residual Networks for High-Quality Image Restoration

    Yongbing Zhang;Lulu Sun;Chenggang Yan;Xiangyang Ji

  • Comparison of dynamic and static load-balancing strategies in heterogeneous distributed systems

    Y. Zhang;H. Kameda;S.-L. Hung

  • Nonlocal Gradient Sparsity Regularization for Image Restoration

    Hangfan Liu;Ruiqin Xiong;Xinfeng Zhang;Yongbing Zhang

  • An efficient heuristic for routing and wavelength assignment in optical WDM networks

    Yongbing Zhang;K. Taira;H. Takagi;S.K. Das

Frequent Co-Authors

Qionghai Dai
Qionghai Dai Tsinghua University
Yusheng Ji
Yusheng Ji National Institute of Informatics
Xiangyang Ji
Xiangyang Ji Tsinghua University
Jie Li
Jie Li Shanghai Jiao Tong University
Xiaohua Jia
Xiaohua Jia City University of Hong Kong
Wen Gao
Wen Gao Peking University
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Debin Zhao
Debin Zhao Harbin Institute of Technology
Ke Gu
Ke Gu Beijing University of Technology
Ruiqin Xiong
Ruiqin Xiong Peking University

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