World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
13143
World Ranking
4287
National Ranking
570

Qiang 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 Qiang 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+

This scientist: 498 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Qiang 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 Qiang 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+

This scientist: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Qiang Zhang is affiliated with Dalian University of Technology in China. Their research spans multiple fields, primarily focusing on Engineering and Computer Science. Zhang's work integrates several subfields, including Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, and Biomedical Engineering.

The scientist's research topics cover a broad spectrum of advanced biosensing and bioanalysis techniques, which are frequently connected to their expertise in DNA and biological computing. Other specific interests include biosensors and analytical detection, advanced neural network applications, human pose and action recognition, RNA interference and gene delivery, as well as DNA and nucleic acid chemistry.

Notable publication venues where Zhang frequently publishes include:

  • IEEE Access
  • IEEE Transactions on Mobile Computing
  • Scientific Reports
  • IEEE Transactions on NanoBioscience
  • Neural Computing and Applications

Frequent collaborators who have coauthored work with Zhang include:

  • Xiaopeng Wei
  • Pengfei Wang
  • Dongsheng Zhou
  • Bin Wang
  • Chi Lin

Zhang has contributed to multiple research papers over the years. Selected recent papers include:

  • Part-Object Relational Visual Saliency, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Breaches of embankment and landslide dams - State of the art review, 2021, Earth-Science Reviews
  • Clinical study using mesenchymal stem cells for the treatment of patients with severe COVID-19, 2020, Frontiers of Medicine
  • A network analysis of anxiety and depression symptoms in Chinese disabled elderly, 2023, Journal of Affective Disorders
  • Evaluation of the safety and efficacy of using human menstrual blood-derived mesenchymal stromal cells in treating severe and critically ill COVID-19 patients: An exploratory clinical trial, 2021, Clinical and Translational Medicine

Best Publications

  • Multifocus image fusion using the nonsubsampled contourlet transform

    Qiang Zhang;Bao-long Guo

  • Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset

    Tianyu Wang;Xin Yang;Ke Xu;Shaozhe Chen

  • Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review

    Qiang Zhang;Yi Liu;Rick S. Blum;Jungong Han

  • Image encryption using DNA addition combining with chaotic maps

    Qiang Zhang;Ling Guo;Xiaopeng Wei

  • A novel color image encryption algorithm based on DNA sequence operation and hyper-chaotic system

    Xiaopeng Wei;Ling Guo;Qiang Zhang;Jianxin Zhang

  • A RGB image encryption algorithm based on DNA encoding and chaos map

    Lili Liu;Qiang Zhang;Xiaopeng Wei

  • A novel image fusion encryption algorithm based on DNA sequence operation and hyper-chaotic system

    Qiang Zhang;Ling Guo;Xiaopeng Wei

  • Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

    Dingwen Zhang;Guohai Huang;Qiang Zhang;Jungong Han

  • Delay-dependent exponential stability of cellular neural networks with time-varying delays

    Qiang Zhang;Xiaopeng Wei;Jin Xu

  • Classification of ECG signals based on 1D convolution neural network

    Dan Li;Jianxin Zhang;Qiang Zhang;Xiaopeng Wei

  • RGB-T Salient Object Detection via Fusing Multi-Level CNN Features

    Qiang Zhang;Nianchang Huang;Lin Yao;Dingwen Zhang

  • ABMDRNet: Adaptive-weighted Bi-directional Modality Difference Reduction Network for RGB-T Semantic Segmentation

    Qiang Zhang;Shenlu Zhao;Yongjiang Luo;Dingwen Zhang

  • Robust Multi-Focus Image Fusion Using Multi-Task Sparse Representation and Spatial Context

    Qiang Zhang;Martin D. Levine

  • Attention-Guided Hierarchical Structure Aggregation for Image Matting

    Yu Qiao;Yuhao Liu;Xin Yang;Dongsheng Zhou

  • Exploring Task Structure for Brain Tumor Segmentation From Multi-Modality MR Images

    Dingwen Zhang;Guohai Huang;Qiang Zhang;Jungong Han

  • Improved algorithm for image encryption based on DNA encoding and multi-chaotic maps

    Qiang Zhang;Lili Liu;Xiaopeng Wei

  • Part-Object Relational Visual Saliency.

    Yi Liu;Dingwen Zhang;Qiang Zhang;Jungong Han

  • Global exponential stability of Hopfield neural networks with continuously distributed delays

    Qiang Zhang;Xiaopeng Wei;Jin Xu

  • A Unified Energy Efficiency and Spectral Efficiency Tradeoff Metric in Wireless Networks

    Lei Deng;Yun Rui;Peng Cheng;Jun Zhang

  • Revisiting Feature Fusion for RGB-T Salient Object Detection

    Qiang Zhang;Tonglin Xiao;Nianchang Huang;Dingwen Zhang

  • SAR Image Registration Using Phase Congruency and Nonlinear Diffusion-Based SIFT

    Jianwei Fan;Yan Wu;Fan Wang;Qiang Zhang

  • Risk prediction of type II diabetes based on random forest model

    Weifeng Xu;Jianxin Zhang;Qiang Zhang;Xiaopeng Wei

  • A novel couple images encryption algorithm based on DNA subsequence operation and chaotic system

    Qiang Zhang;Xiaopeng Wei

Frequent Co-Authors

Jungong Han
Jungong Han Aberystwyth University
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Stefano Leonardi
Stefano Leonardi Sapienza University of Rome
Baocai Yin
Baocai Yin Beijing University of Technology
Hongbo Fu
Hongbo Fu City University of Hong Kong
Guisheng Liao
Guisheng Liao Xidian University
Peng Cheng
Peng Cheng Zhejiang University
Bin Wang
Bin Wang University of Hawaii at Manoa
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Junwei Han
Junwei Han Northwestern Polytechnical University

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