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Mingbo Zhao

D-Index & Metrics

Computer Science

D-Index
30
Citations
3483
World Ranking
14144
National Ranking
1713

Mingbo Zhao 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 Mingbo Zhao 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: 154 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Mingbo Zhao 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 Mingbo Zhao 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Mingbo Zhao is affiliated with Donghua University in China, actively contributing to research primarily in computer science and engineering. Their work spans several subfields including computer vision and pattern recognition, artificial intelligence, media technology, computational mechanics, and electrical and electronic engineering.

The scientist has published extensively in numerous venues, frequently contributing to:

  • IEEE Transactions on Consumer Electronics
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Neural Computing and Applications
  • Knowledge-Based Systems

Their research interest covers multiple advanced topics within image and vision technologies. These topics include:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis

Among the recent papers authored or co-authored by Mingbo Zhao are:

  • "Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine," published in 2020 in IEEE Access
  • "Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation," published in 2020 in IEEE Transactions on Circuits and Systems for Video Technology
  • "Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification," published in 2020 in IEEE Transactions on Neural Networks and Learning Systems
  • "A hybrid machine learning framework for forecasting house price," published in 2023 in Expert Systems with Applications
  • "Deep-recursive residual network for image semantic segmentation," published in 2020 in Neural Computing and Applications

Mingbo Zhao frequently collaborates with several researchers, including:

  • Zhao Zhang
  • Meng Wang
  • Kwok Tai Chui
  • Choujun Zhan
  • Jicong Fan

Their body of work includes 97 publications in computer science and 33 in engineering, reflecting a significant focus on technical and applied research in these disciplines.

Best Publications

  • Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

    Xiaohang Jin;Mingbo Zhao;Tommy W. S. Chow;Michael Pecht

  • NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

    Yuan Gao;Jiayi Ma;Mingbo Zhao;Wei Liu

  • Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction

    Zhao Zhang;Fanzhang Li;Mingbo Zhao;Li Zhang

  • Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

    Kwok Tai Chui;Wadee Alhalabi;Sally Shuk Han Pang;Patricia Ordóñez de Pablos

  • Fault diagnosis of rolling element bearings via discriminative subspace learning

    Mingbo Zhao;Xiaohang Jin;Zhao Zhang;Bing Li

  • Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification

    Zhao Zhang;Fanzhang Li;Mingbo Zhao;Li Zhang

  • M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction

    Zhao Zhang;Tommy W. S. Chow;Mingbo Zhao

  • Predicting Students’ Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine

    Kwok Tai Chui;Ryan Wen Liu;Mingbo Zhao;Patricia Ordonez De Pablos

  • Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization

    Zhao Zhang;T. W. S. Chow;Mingbo Zhao

  • Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood

    Zhao Zhang;Mingbo Zhao;Tommy W.S. Chow

  • Automatic image annotation via compact graph based semi-supervised learning

    Mingbo Zhao;Tommy W. S. Chow;Zhao Zhang;Bing Li

  • Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction

    Mingbo Zhao;Zhao Zhang;Tommy W. S. Chow

  • Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification

    Weiming Jiang;Zhao Zhang;Fanzhang Li;Li Zhang

  • Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation

    Dawei Li;Guoliang Shi;Yuhao Wu;Yanping Yang

  • Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation

    Zhao Zhang;Zhao Zhang;Yan Zhang;Yan Zhang;Fanzhang Li;Fanzhang Li;Mingbo Zhao

  • Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification

    Zhao Zhang;Mingbo Zhao;Tommy W. S. Chow

  • Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction

    Mingbo Zhao;Tommy W.S. Chow;Zhou Wu;Zhao Zhang

  • A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition

    Haijun Zhang;Q. M. Jonathan Wu;Tommy W. S. Chow;Mingbo Zhao

  • A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction.

    Mingbo Zhao;Zhao Zhang;Tommy W.S. Chow;Bing Li

  • Similarity preserving low-rank representation for enhanced data representation and effective subspace learning.

    Zhao Zhang;Zhao Zhang;Shuicheng Yan;Mingbo Zhao

  • Big data and IoT solution for patient behaviour monitoring

    Kwok Tai Chui;Ryan Wen Liu;Miltiadis D. Lytras;Mingbo Zhao

  • Bridging User Interest to Item Content for Recommender Systems: An Optimization Model

    Haijun Zhang;Yanfang Sun;Mingbo Zhao;Tommy W. S. Chow

  • Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification

    Zhao Zhang;Shuicheng Yan;Mingbo Zhao

Frequent Co-Authors

Zhao Zhang
Zhao Zhang Hefei University of Technology
Tommy W. S. Chow
Tommy W. S. Chow City University of Hong Kong
Shuicheng Yan
Shuicheng Yan National University of Singapore
Meng Wang
Meng Wang Hefei University of Technology
Min Zhang
Min Zhang Tsinghua University
Yuan Gao
Yuan Gao Northeastern University
Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Patricia Ordóñez de Pablos
Patricia Ordóñez de Pablos University of Oviedo
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences

External Links

Personal website of Mingbo Zhao

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Best Scientists Citing Mingbo Zhao

Zhao Zhang

Zhao Zhang

Hefei University of Technology

Publications: 64

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 31

Guangcan Liu

Guangcan Liu

Southeast University

Publications: 21

Jong-Myon Kim

Jong-Myon Kim

University of Ulsan

Publications: 17

Sheng Li

Sheng Li

University of Virginia

Publications: 16

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 15

Fadi Dornaika

Fadi Dornaika

Ikerbasque

Publications: 13

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 12

Moshe Zukerman

Moshe Zukerman

City University of Hong Kong

Publications: 11

Tommy W. S. Chow

Tommy W. S. Chow

City University of Hong Kong

Publications: 11

Luc Van Gool

Luc Van Gool

Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Publications: 10

Zhao Kang

Zhao Kang

University of Electronic Science and Technology of China

Publications: 10

Wei Qiao

Wei Qiao

University of Nebraska–Lincoln

Publications: 9

Xuelong Li

Xuelong Li

China Telecom (China)

Publications: 9

Miltiadis D. Lytras

Miltiadis D. Lytras

American College of Greece

Publications: 8

Zenglin Xu

Zenglin Xu

Harbin Institute of Technology

Publications: 8

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