World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
11811
World Ranking
4328
National Ranking
573

Kuanquan Wang 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 Kuanquan Wang 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: 397 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Kuanquan Wang 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 Kuanquan Wang 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: 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

Kuanquan Wang is affiliated with the Harbin Institute of Technology in China. Their research spans disciplines primarily within Medicine and Computer Science, with significant contributions to specialized subfields such as Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computer Vision and Pattern Recognition, and Artificial Intelligence.

Their research topics focus largely on cardiac-related subjects and medical imaging, including:

  • Cardiac electrophysiology and arrhythmias
  • ECG Monitoring and Analysis
  • Radiomics and Machine Learning in Medical Imaging
  • Ion channel regulation and function
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Medical Imaging Techniques and Applications

Kuanquan Wang has published extensively in venues covering biomedical imaging and clinical data analysis. Frequent publication venues include:

  • arXiv (Cornell University)
  • Computing in cardiology
  • Medical Image Analysis
  • IEEE Journal of Biomedical and Health Informatics
  • Frontiers in Physiology

Among the notable recent papers authored or co-authored by Kuanquan Wang are:

  • "A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging" (2020, Medical Image Analysis)
  • "ResNet-Attention model for human authentication using ECG signals" (2020, Expert Systems)
  • "Generating electrocardiogram signals by deep learning" (2020, Neurocomputing)
  • "Automatic Detection of QRS Complexes Using Dual Channels Based on U-Net and Bidirectional Long Short-Term Memory" (2020, IEEE Journal of Biomedical and Health Informatics)
  • "A transformer model blended with CNN and denoising autoencoder for inter-patient ECG arrhythmia classification" (2023, Biomedical Signal Processing and Control)

Collaboration is a significant aspect of their career, working frequently with peers such as:

  • Gongning Luo
  • Henggui Zhang
  • Qince Li
  • Shuo Li
  • Suyu Dong

In addition to journal publications, Kuanquan Wang has contributed to book publications under Frontiers Media, including the title "Intelligent Analysis of Biomedical Imaging Data for Precision Medicine" published in 2022.

Best Publications

  • Palmprint recognition using eigenpalms features

    Guangming Lu;David Zhang;Kuanquan Wang

  • Neighborhood Component Feature Selection for High-Dimensional Data

    Wei Yang;Kuanquan Wang;Wangmeng Zuo

  • Fisherpalms based palmprint recognition

    Xiangqian Wu;David Zhang;Kuanquan Wang

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

    Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

  • Detecting atrial fibrillation by deep convolutional neural networks.

    Yong Xia;Naren Wulan;Kuanquan Wang;Henggui Zhang

  • Palmprint classification using principal lines

    Xiangqian Wu;David Zhang;Kuanquan Wang;Bo Huang

  • Computerized tongue diagnosis based on Bayesian networks

    Bo Pang;D. Zhang;N. Li;Kuanquan Wang

  • A Review on solid oxide fuel cell models

    K. Wang;D. Hissel;M.C. Péra;N. Steiner

  • Palm line extraction and matching for personal authentication

    Xiangqian Wu;D. Zhang;Kuanquan Wang

  • Multimodal Biometric Authentication Systems Using Convolution Neural Network Based on Different Level Fusion of ECG and Fingerprint

    Mohamed Hammad;Yashu Liu;Kuanquan Wang

  • Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

    Chao Ma;Gongning Luo;Kuanquan Wang

  • Automatic Cardiac Arrhythmia Classification Using Combination of Deep Residual Network and Bidirectional LSTM

    Runnan He;Yang Liu;Kuanquan Wang;Na Zhao

  • Ability-training-oriented automated assessment in introductory programming course

    Tiantian Wang;Xiaohong Su;Peijun Ma;Yuying Wang

  • Detection of abnormal heart conditions based on characteristics of ECG signals

    Mohamed Hammad;Mohamed Hammad;Asmaa Maher;Kuanquan Wang;Feng Jiang

  • The bi-elliptical deformable contour and its application to automated tongue segmentation in Chinese medicine

    Bo Pang;D. Zhang;Kuanquan Wang

  • BDPCA plus LDA: a novel fast feature extraction technique for face recognition

    Wangmeng Zuo;D. Zhang;Jian Yang;Kuanquan Wang

  • Fast neighborhood component analysis

    Wei Yang;Kuanquan Wang;Wangmeng Zuo

  • Bidirectional PCA with assembled matrix distance metric for image recognition

    Wangmeng Zuo;D. Zhang;Kuanquan Wang

  • Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms

    Lisheng Xu;D. Zhang;Kuanquan Wang

  • Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks.

    Runnan He;Kuanquan Wang;Na Zhao;Yang Liu

  • Coarse iris classification using box-counting to estimate fractal dimensions

    Li Yu;David Zhang;Kuanquan Wang;Wen Yang

Frequent Co-Authors

David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Xiangqian Wu
Xiangqian Wu Harbin Institute of Technology
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Yue Zhang
Yue Zhang Westlake University
Wei Wang
Wei Wang Harbin Institute of Technology
Shuo Li
Shuo Li Case Western Reserve University
Max Q.-H. Meng
Max Q.-H. Meng Southern University of Science and Technology
Yong Xu
Yong Xu Harbin Institute of Technology
Deyu Meng
Deyu Meng Xi'an Jiaotong University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to numerous related online degrees and flexible career options. With technology advancing rapidly, students and professionals are increasingly considering specialized fields such as data science, engineering, and physics, many of which are now available online and at affordable rates.

For those interested in physics applications or theory, pursuing an online theoretical physics degree can provide a strong foundation in research and analytical thinking. Additionally, the rise in demand for big data expertise has made data science programs a popular pathway for computer science graduates seeking high-paying roles in analytics and artificial intelligence.

If you’re drawn to practical technology and infrastructure, tackling an online electrical engineering career outcomes program can lead to opportunities in robotics, communications, and power systems. For quick returns, consider easy certifications that pay well, which can boost credentials and unlock well-compensated tech jobs—often without the time commitment of a full degree.

Best Scientists Citing Kuanquan Wang

Trending Scientists

Recently Published Articles