World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8365
World Ranking
7195
National Ranking
953

Wufan 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 Wufan 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: 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: 351 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Wufan 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 Wufan Chen 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 1977 - IEEE Fellow For contributions to graph and network theory.

Overview

Wufan Chen is affiliated with Southern Medical University in China and has contributed extensively to the fields of engineering and medicine. Their research primarily spans radiology, nuclear medicine and imaging, biomedical engineering, mechanics of materials, artificial intelligence, and electrical and electronic engineering.

The scientist's work prominently focuses on topics related to medical imaging, including photoacoustic and ultrasonic imaging, thermography and photoacoustic techniques, advanced MRI techniques and applications, optical imaging and spectroscopy techniques, medical imaging techniques and applications, radiomics and machine learning in medical imaging, and artificial intelligence in cancer detection.

Several notable publications authored by Wufan Chen include:

  • Progress in achieving high-performance piezoresistive and capacitive flexible pressure sensors: A review, 2020, Journal of Material Science and Technology

The research collaborations of Wufan Chen involve several frequent co-authors:

  • Shuangyang Zhang
  • Qi Li
  • Yanqiu Feng
  • Qianjin Feng
  • Zhichao Liang

Wufan Chen has been published multiple times in several reputable venues. The most frequent publication platforms include:

  • IEEE Transactions on Medical Imaging
  • Photoacoustics
  • arXiv (Cornell University)
  • Medical Image Analysis
  • Computer Methods and Programs in Biomedicine

In terms of academic recognition, Wufan Chen holds the title of IEEE Fellow, an award given in 1977 for contributions to graph and network theory.

Best Publications

  • Artifact suppressed dictionary learning for low-dose CT image processing.

    Yang Chen;Luyao Shi;Qianjing Feng;Jiang Yang

  • Sparse-view x-ray CT reconstruction via total generalized variation regularization.

    Shanzhou Niu;Yang Gao;Zhaoying Bian;Jing Huang

  • Low-dose computed tomography image restoration using previous normal-dose scan.

    Jianhua Ma;Jing Huang;Qianjin Feng;Hua Zhang

  • Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation.

    Jun Cheng;Wei Yang;Meiyan Huang;Wei Huang

  • Brain tumor segmentation based on local independent projection-based classification.

    Meiyan Huang;Wei Yang;Yao Wu;Jun Jiang

  • Variance analysis of x-ray CT sinograms in the presence of electronic noise background.

    Jianhua Ma;Zhengrong Liang;Yi Fan;Yan Liu

  • Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior

    Jianhua Ma;Hua Zhang;Yang Gao;Jing Huang

  • Bayesian statistical reconstruction for low-dose X-ray computed tomography using an adaptive-weighting nonlocal prior.

    Yang Chen;Dazhi Gao;Cong Nie;Limin Luo

  • Thoracic low-dose CT image processing using an artifact suppressed large-scale nonlocal means.

    Yang Chen;Zhou Yang;Yining Hu;Guanyu Yang

  • Nonlocal Prior Bayesian Tomographic Reconstruction

    Yang Chen;Jianhua Ma;Qianjin Feng;Limin Luo

  • SMU-Net: Saliency-guided Morphology-aware U-Net for Breast Lesion Segmentation in Ultrasound Image

    Zhenyuan Ning;Shengzhou Zhong;Qianjin Feng;Wufan Chen

  • Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain.

    Wei Yang;Yingyin Chen;Yunbi Liu;Liming Zhong

  • A particle swarm optimization algorithm for beam angle selection in intensity-modulated radiotherapy planning

    Yongjie Li;Dezhong Yao;Jonathan Yao;Wufan Chen

  • Novel Approach for 3-D Reconstruction of Coronary Arteries From Two Uncalibrated Angiographic Images

    Jian Yang;Yongtian Wang;Yue Liu;Songyuan Tang

  • Robustness of Radiomic Features in [(11)C]Choline and [(18)F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization.

    Lijun Lu;Wenbing Lv;Jun Jiang;Jianhua Ma

  • 3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets.

    Jun Jiang;Yao Wu;Meiyan Huang;Wei Yang

  • Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging

    Jin Liu;Jianhua Ma;Yi Zhang;Yang Chen

  • Denoising of 3D magnetic resonance images by using higher-order singular value decomposition

    Xinyuan Zhang;Zhongbiao Xu;Nan Jia;Wei Yang

  • Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization

    Unknown

  • Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods.

    Yang Chen;Yang Chen;Wufan Chen;Xindao Yin;Xianghua Ye

  • Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features

    Zhenyuan Ning;Jiaxiu Luo;Yong Li;Shuai Han

  • Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images

    Wei Yang;Zhentai Lu;Mei Yu;Meiyan Huang

  • Iterative reconstruction for X-ray computed tomography using prior-image induced nonlocal regularization

    Jerome Z. Liang;Jianhua Ma;Hao Zhang;William Moore

  • Segmenting CT prostate images using population and patient-specific statistics for radiotherapy

    Qianjin Feng;Mark Foskey;Wufan Chen;Dinggang Shen

Frequent Co-Authors

Jianhua Ma
Jianhua Ma Hosei University
Wei Yang
Wei Yang Southern Medical University
Zhengrong Liang
Zhengrong Liang Stony Brook University
Arman Rahmim
Arman Rahmim University of British Columbia
Dinggang Shen
Dinggang Shen ShanghaiTech University
Jing Wang
Jing Wang The University of Texas MD Anderson Cancer Center
Guorong Wu
Guorong Wu University of North Carolina at Chapel Hill
Pew Thian Yap
Pew Thian Yap University of North Carolina at Chapel Hill
Huazhong Shu
Huazhong Shu Southeast University
Feng Liu
Feng Liu University of Queensland

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