World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
6659
World Ranking
2196
National Ranking
926

Computer Science

D-Index
48
Citations
10022
World Ranking
6150
National Ranking
2763

Danny Z. Chen publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Danny Z. Chen sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 247 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Danny Z. Chen D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Danny Z. Chen sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2014 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Danny Z. Chen is affiliated with the University of Notre Dame in the United States. Their research spans a broad range of topics within computer science and medicine, with a particular focus on applications involving medical imaging and machine learning.

The main fields of study for Danny Z. Chen include:

  • Computer Science
  • Medicine

Within these fields, they have specialized in several subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Biomedical Engineering

Their work covers key topics related to medical imaging and machine learning, including:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • Domain Adaptation and Few-Shot Learning
  • Medical Imaging and Analysis
  • COVID-19 diagnosis using AI

Danny Z. Chen has contributed to an extensive collection of research papers. Notable recent publications include:

  • "D-former: a U-shaped Dilated Transformer for 3D medical image segmentation" (2022) in Neural Computing and Applications
  • "CNS-Native Myeloid Cells Drive Immune Suppression in the Brain Metastatic Niche through Cxcl10" (2020) in Cell
  • "A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification" (2020) in IEEE Journal of Biomedical and Health Informatics
  • "Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation" (2021) in IEEE Transactions on Medical Imaging
  • "Current and future directions in network biology" (2024) in Bioinformatics Advances

The frequent co-authors collaborating with Danny Z. Chen include:

  • Jintai Chen
  • Yejia Zhang
  • Nishchal Sapkota
  • Jian Wu
  • Yizhe Zhang

Regarding publication outlets, their research has appeared in several venues multiple times, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Scientific Reports
  • IEEE Journal of Biomedical and Health Informatics

Throughout the academic career, Danny Z. Chen has been recognized with professional distinctions, including the ACM Senior Member in 2011 and ACM Distinguished Member in 2014.

Best Publications

  • Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach

    Kang Li;Xiaodong Wu;D.Z. Chen;M. Sonka

  • Task scheduling and voltage selection for energy minimization

    Yumin Zhang;Xiaobo Sharon Hu;Danny Z. Chen

  • Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

    Lin Yang;Yizhe Zhang;Jianxu Chen;Siyuan Zhang

  • Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

    Yizhe Zhang;Lin Yang;Jianxu Chen;Maridel Fredericksen

  • Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation

    Jianxu Chen;Lin Yang;Yizhe Zhang;Mark S. Alber

  • Planar Spanners and Approximate Shortest Path Queries among Obstacles in the Plane

    Srinivasa Rao Arikati;Danny Z. Chen;L. Paul Chew;Gautam Das

  • D-former: a U-shaped Dilated Transformer for 3D medical image segmentation

    Unknown

  • Optimal Net Surface Problems with Applications

    Xiaodong Wu;Danny Z. Chen

  • A Hierarchical Graph Network for 3D Object Detection on Point Clouds

    Jintai Chen;Biwen Lei;Qingyu Song;Haochao Ying

  • A framed-quadtree approach for determining Euclidean shortest paths in a 2-D environment

    D.Z. Chen;R.J. Szczerba;J.J. Uhran

  • Determining an Optimal Penetration Among Weighted Regions in Two and Three Dimensions

    Danny Z. Chen;Ovidiu Daescu;Xiaobo Hu;Xiaodong Wu

  • Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation

    Ruiwei Feng;Xiangshang Zheng;Tianxiang Gao;Jintai Chen

  • A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification

    Ruiwei Feng;Xuechen Liu;Jintai Chen;Danny Z. Chen

  • Three-dimensional visualization and a deep-learning model reveal complex fungal parasite networks in behaviorally manipulated ants.

    Maridel A. Fredericksen;Yizhe Zhang;Missy L. Hazen;Raquel G. Loreto

  • Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

    Xiaowei Xu;Qing Lu;Lin Yang;Sharon Hu

  • Predicting Protein-Protein Interactions from Protein Domains Using a Set Cover Approach

    Chengbang Huang;Faruck Morcos;Simon P. Kanaan;Stefan Wuchty

  • Quantum-dot cellular automata (QCA) circuit partitioning: problem modeling and solutions

    D.A. Antonelli;D.Z. Chen;T.J. Dysart;X.S. Hu

  • Polynomial-time solutions to image segmentation

    Tetsuo Asano;Danny Z. Chen;Naoki Katoh;Takeshi Tokuyama

  • Pursuing a petaflop: point designs for 100 TF computers using PIM technologies

    P.M. Kogge;S.C. Bass;J.B. Brockman;D.Z. Chen

  • Algorithms on Minimizing the Maximum Sensor Movement for Barrier Coverage of a Linear Domain

    Danny Z. Chen;Yan Gu;Jian Li;Haitao Wang

  • Optimization approaches to volumetric modulated arc therapy planning

    Jan Unkelbach;Thomas Bortfeld;David Craft;Markus Alber

  • Iris Recognition Based on Human-Interpretable Features

    Jianxu Chen;Feng Shen;Danny Ziyi Chen;Patrick J. Flynn

  • Simultaneous segmentation of multiple closed surfaces using optimal graph searching

    Kang Li;Steven Millington;Xiaodong Wu;Danny Z. Chen

Frequent Co-Authors

Lin Yang
Lin Yang University of Florida
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Mikhail J. Atallah
Mikhail J. Atallah Purdue University West Lafayette
Der-Tsai Lee
Der-Tsai Lee Academia Sinica
Milan Sonka
Milan Sonka University of Iowa
Chaoli Wang
Chaoli Wang University of Notre Dame
Michiel Smid
Michiel Smid Carleton University
Naoki Katoh
Naoki Katoh University of Hyogo
Peter M. Kogge
Peter M. Kogge University of Notre Dame
Michael Niemier
Michael Niemier University of Notre Dame

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

For students interested in Mathematics, exploring related online degrees can open diverse career opportunities. Programs like the most affordable online dba programs offer pathways to specialize in data analysis and business analytics, complementing strong quantitative skills.

Those inclined towards finance may consider a master of finance online. This degree builds on mathematical foundations to develop expertise in financial modeling, investment strategies, and risk assessment.

For professionals seeking leadership roles, accelerated mba programs online provide a streamlined path to gain essential business and management skills while leveraging analytical problem-solving abilities.

Additionally, a growing field is digital marketing, where a ms in digital marketing degree cost tuition fees balance affordability and high return on investment. Mathematics graduates can excel here by applying data-driven strategies to optimize campaigns.

Best Scientists Citing Danny Z. Chen

Trending Scientists

Recently Published Articles