World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4601
World Ranking
12692
National Ranking
1560

Wei Yang 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 Wei Yang 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: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Wei Yang 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 Wei Yang 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Wei Yang is affiliated with Southern Medical University in China and has contributed extensively to the fields of medicine and engineering. Their research focuses particularly on applications within radiology, medical imaging, and biomedical engineering.

Wei Yang's main fields of study cover:

  • Medicine
  • Engineering

Key subfields of study include:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Pulmonary and Respiratory Medicine
  • Cardiology and Cardiovascular Medicine

Their research topics encompass:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Advanced Radiotherapy Techniques
  • Medical Imaging and Analysis
  • ECG Monitoring and Analysis
  • AI in cancer detection

Wei Yang has published in a range of scientific venues, the most frequent including:

  • PubMed
  • IEEE Access
  • IEEE Transactions on Medical Imaging
  • arXiv (Cornell University)
  • European Radiology

Frequent co-authors with whom Wei Yang has collaborated include:

  • Liming Zhong
  • Qianjin Feng
  • Yiwen Zhang
  • Yunbi Liu
  • Kaiyi Zheng

Selected recent papers demonstrate Wei Yang's involvement in advanced medical imaging and diagnostic techniques:

  • "SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation," 2020, IEEE Transactions on Medical Imaging
  • "Automatic Segmentation of Individual Tooth in Dental CBCT Images From Tooth Surface Map by a Multi-Task FCN," 2020, IEEE Access
  • "Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset," 2023, Nature Communications
  • "Accuracy of Intravascular Ultrasound-Based Fractional Flow Reserve in Identifying Hemodynamic Significance of Coronary Stenosis," 2021, Circulation Cardiovascular Interventions
  • "Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma," 2020, BMC Cancer

Best Publications

  • Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

    Jun Cheng;Wei Huang;Shuangliang Cao;Ru Yang

  • 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

  • Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging

    Xiangrui Yin;Jean-Louis Coatrieux;Qianlong Zhao;Jin Liu

  • SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation

    Shumao Pang;Chunlan Pang;Lei Zhao;Yangfan 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

  • Improving Low-Dose CT Image Using Residual Convolutional Network

    Wei Yang;Huijuan Zhang;Jian Yang;Jiasong Wu

  • 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

  • Automatic Segmentation of Individual Tooth in Dental CBCT Images From Tooth Surface Map by a Multi-Task FCN

    Yanlin Chen;Haiyan Du;Zhaoqiang Yun;Shuo 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

  • Robust and Accurate Surface Measurement Using Structured Light

    Rongqian Yang;Sheng Cheng;Wei Yang;Yazhu Chen

  • 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

  • Correction: Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

    Jun Cheng;Wei Huang;Shuangliang Cao;Ru Yang

  • Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images

    Dongyang Du;Hui Feng;Wenbing Lv;Saeed Ashrafinia

  • Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT.

    Wenbing Lv;Qingyu Yuan;Quanshi Wang;Jianhua Ma

  • Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease.

    Meiyan Huang;Wei Yang;Qianjin Feng;Wufan Chen

  • Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector

    Wei Yang;Yunbi Liu;Liyan Lin;Zhaoqiang Yun

  • Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma.

    Bin Zhang;Zhouyang Lian;Liming Zhong;Xiao Zhang;Xiao Zhang

  • Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors

    Wei Yang;Liming Zhong;Yang Chen;Liyan Lin

  • MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study

    Haimei Chen;Xiao Zhang;Xiaohong Wang;Xianyue Quan

  • Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages.

    Yunbi Liu;Ling Yue;Shifu Xiao;Wei Yang

Frequent Co-Authors

Wufan Chen
Wufan Chen Southern Medical University
Jianhua Ma
Jianhua Ma Hosei University
Huazhong Shu
Huazhong Shu Southeast University
Gouenou Coatrieux
Gouenou Coatrieux IMT Atlantique
Mingxia Liu
Mingxia Liu University of North Carolina at Chapel Hill
Jian Yang
Jian Yang University of Birmingham
Dinggang Shen
Dinggang Shen ShanghaiTech University
Arman Rahmim
Arman Rahmim University of British Columbia
William Wijns
William Wijns University of Galway
Reisa A. Sperling
Reisa A. Sperling Brigham and Women's Hospital

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 the door to various online programs and flexible learning options for students at all levels. Many are turning to specialized fields, such as data science degrees, which offer in-demand skills and frequently include remote study options for greater accessibility.

Another popular area is electrical engineering. Choosing an online route lets students take advantage of competitive electrical engineering online tuition costs, making advanced technical education more affordable.

For those looking to enter the workforce quickly, there are also quick certifications that pay well. These certifications can boost your skills and earning potential without the time commitment of a full degree.

Ambitious learners may also consider the fastest online master's degree programs. These accelerated paths enable you to earn an advanced credential in less time and begin your tech career sooner.

Best Scientists Citing Wei Yang

Trending Scientists

Recently Published Articles