World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
14194
World Ranking
5774
National Ranking
2625

Quanzheng Li 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 Quanzheng Li 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: 297 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Quanzheng Li 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 Quanzheng Li 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Quanzheng Li is affiliated with Harvard University in the United States, focusing primarily on research at the intersection of medicine and computer science. Their scholarly work encompasses a significant number of publications specializing in medical imaging, radiology, artificial intelligence, and health informatics.

The main fields of study for Quanzheng Li include:

  • Medicine
  • Computer Science

Within these broad fields, their work spans several subfields such as:

  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Biomedical Engineering

Key research topics frequently addressed in their work are:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Artificial Intelligence in Healthcare and Education
  • Topic Modeling
  • COVID-19 diagnosis using AI
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques

Quanzheng Li has authored papers published in venues such as:

  • arXiv (Cornell University)
  • Physics in Medicine and Biology
  • IEEE Transactions on Medical Imaging
  • Medical Physics
  • Medical Image Analysis

Recent notable papers include:

  • "Federated learning for predicting clinical outcomes in patients with COVID-19," 2021, Nature Medicine
  • "Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinson's Disease," 2020, New England Journal of Medicine
  • "A generalist vision-language foundation model for diverse biomedical tasks," 2024, Nature Medicine
  • "MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation," 2024, Medical Image Analysis
  • "PET image denoising based on denoising diffusion probabilistic model," 2023, European Journal of Nuclear Medicine and Molecular Imaging

Quanzheng Li has collaborated extensively with coauthors including:

  • Xiang Li
  • Tianming Liu
  • Dufan Wu
  • Zhengliang Liu
  • Dajiang Zhu

Additionally, Quanzheng Li has contributed to book publications with Springer Science+Business Media, with titles including:

  • Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops (2023)
  • Multiscale Multimodal Medical Imaging (2022)
  • Multimodal Learning for Clinical Decision Support (2021)

Best Publications

  • Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

    Babak Ehteshami Bejnordi;Mitko Veta;Paul Johannes van Diest;Bram van Ginneken

  • Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

    James H. Thrall;Xiang Li;Quanzheng Li;Cinthia Cruz

  • Federated learning for predicting clinical outcomes in patients with COVID-19.

    Ittai Dayan;Holger R. Roth;Aoxiao Zhong;Ahmed Harouni

  • From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

    Peter Bandi;Oscar Geessink;Quirine Manson;Marcory Van Dijk

  • Deep Learning-Based Image Segmentation on Multimodal Medical Imaging

    Zhe Guo;Xiang Li;Heng Huang;Ning Guo

  • Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

    Yiping Lu;Aoxiao Zhong;Quanzheng Li;Quanzheng Li;Bin Dong

  • PET Image Reconstruction Using Deep Image Prior

    Kuang Gong;Ciprian Catana;Jinyi Qi;Quanzheng Li

  • Iterative PET Image Reconstruction Using Convolutional Neural Network Representation

    Kuang Gong;Jiahui Guan;Kyungsang Kim;Xuezhu Zhang

  • PET image denoising using unsupervised deep learning

    Jianan Cui;Kuang Gong;Ning Guo;Chenxi Wu

  • Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning

    Ronghui Ju;Chenhui Hu;Pan Zhou;Quanzheng Li

  • Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network

    Dufan Wu;Kyungsang Kim;Georges El Fakhri;Quanzheng Li

  • A generalist vision-language foundation model for diverse biomedical tasks.

    Unknown

  • Optimization and performance evaluation of the microPET II scanner for in vivo small-animal imaging.

    Yongfeng Yang;Yuan Chuan Tai;Stefan Siegel;Danny F. Newport

  • Exercise Elevates Dopamine D2 Receptor in a Mouse Model of Parkinson’s Disease: In Vivo Imaging with [18F]Fallypride

    Marta G. Vučković;Quanzheng Li;Beth Fisher;Angelo Nacca

  • Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting

    Kyungsang Kim;Dufan Wu;Kuang Gong;Joyita Dutta

  • Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty

    Kyungsang Kim;Jong Chul Ye;William Worstell;Jinsong Ouyang

  • Non-Local Means Denoising of Dynamic PET Images

    Joyita Dutta;Richard M. Leahy;Quanzheng Li

  • PET Image Reconstruction Using Information Theoretic Anatomical Priors

    S Somayajula;C Panagiotou;A Rangarajan;Quanzheng Li

  • DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

    Unknown

  • Big data and medical research in China.

    Luxia Zhang;Haibo Wang;Quanzheng Li;Ming-Hui Zhao;Ming-Hui Zhao

  • Magnetic resonance-guided positron emission tomography image reconstruction.

    Bing Bai;Quanzheng Li;Richard M. Leahy

  • Magnetic Resonance-Based Motion Correction for Positron Emission Tomography Imaging

    Jinsong Ouyang;Quanzheng Li;Georges El Fakhri

  • Model-based normalization for iterative 3D PET image reconstruction.

    B Bai;Q Li;C H Holdsworth;E Asma

Frequent Co-Authors

Georges El Fakhri
Georges El Fakhri Harvard University
Richard M. Leahy
Richard M. Leahy University of Southern California
Keith A. Johnson
Keith A. Johnson Harvard University
Jinyi Qi
Jinyi Qi University of California, Davis
Nathaniel M. Alpert
Nathaniel M. Alpert Harvard University
Jorge Sepulcre
Jorge Sepulcre Harvard University
Soo Young Park
Soo Young Park Seoul National University
Tianming Liu
Tianming Liu University of Georgia
Andrew F. Laine
Andrew F. Laine Columbia University
Xiaoyuan Chen
Xiaoyuan Chen National University of Singapore

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

Interested in expanding your career options beyond computer science? There are several online degree programs in related fields that offer flexibility and affordability for students in the USA.

For those drawn to solving environmental challenges, an environmental engineer degree online can provide the skills needed for roles in sustainability and eco-friendly technology. Students interested in the physical sciences might consider a bachelor of science in physics online, which opens doors in research, engineering, and education.

If you’re looking at engineering, understanding mechanical engineering degree cost will help you select a program that fits your budget while preparing you for a versatile career in design, manufacturing, or robotics.

Finally, as big data continues to shape technology, a data science degree can prepare you for highly sought-after roles in analytics, machine learning, and AI.

Exploring these online degree options can help you find the career pathway that best aligns with your interests and long-term goals.

Best Scientists Citing Quanzheng Li

Trending Scientists

Recently Published Articles