World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
22259
World Ranking
6978
National Ranking
3056

Jianming Liang 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 Jianming Liang 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: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Jianming Liang 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 Jianming Liang 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.

Overview

Jianming Liang is affiliated with Arizona State University in the United States. Their research spans multiple disciplines, with a primary focus on medicine and computer science. They have contributed extensively to the fields of radiology, nuclear medicine, and imaging, alongside significant work in artificial intelligence and atmospheric science.

Their research topics include:

  • COVID-19 diagnosis using AI
  • Radiomics and machine learning in medical imaging
  • AI in cancer detection
  • Atmospheric and environmental gas dynamics
  • Atmospheric chemistry and aerosols
  • Domain adaptation and few-shot learning
  • Air quality and health impacts

Among their recent publications are:

  • Models Genesis, 2020, Medical Image Analysis
  • Under-reporting of greenhouse gas emissions in U.S. cities, 2021, Nature Communications
  • Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning, 2021, IEEE Transactions on Medical Imaging
  • The Vulcan Version 3.0 High-Resolution Fossil Fuel CO2 Emissions for the United States, 2020, Journal of Geophysical Research Atmospheres
  • DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors collaborating with Jianming Liang include:

  • Michael B. Gotway
  • Mohammad Reza Hosseinzadeh Taher
  • K. R. Gurney
  • Zongwei Zhou
  • Fatemeh Haghighi

Jianming Liang's work is published predominantly in venues such as:

  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • Medical Image Analysis
  • Research Square
  • IEEE Transactions on Medical Imaging

Their interdisciplinary research covers important topics linking medical imaging and environmental science, demonstrating a breadth of expertise that bridges artificial intelligence applications in medicine with atmospheric data analysis. Liang's work addresses key challenges such as improving diagnostic methods for COVID-19 and cancer detection using AI, while also contributing to understanding greenhouse gas emissions and environmental impacts through advanced imaging and data techniques.

Best Publications

  • Unet++: A nested u-net architecture for medical image segmentation

    Zongwei Zhou;Mahfuzur Rahman Siddiquee;Nima Tajbakhsh;Jianming Liang

  • UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

    Zongwei Zhou;Mahfuzur Rahman Siddiquee;Nima Tajbakhsh;Jianming Liang

  • Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

    Nima Tajbakhsh;Jae Y. Shin;Suryakanth R. Gurudu;R. Todd Hurst

  • Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information

    Nima Tajbakhsh;Suryakanth R. Gurudu;Jianming Liang

  • Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally

    Zongwei Zhou;Jae Shin;Lei Zhang;Suryakanth Gurudu

  • Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

    Jorge Bernal;Nima Tajkbaksh;Francisco Javier Sanchez;Bogdan J. Matuszewski

  • Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.

    Zongwei Zhou;Vatsal Sodha;Mahfuzur Rahman Siddiquee;Ruibin Feng

  • Models Genesis

    Zongwei Zhou;Vatsal Sodha;Jiaxuan Pang;Michael B. Gotway

  • Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

    Rina D. Rudyanto;Sjoerd Kerkstra;Eva M. van Rikxoort;Catalin Fetita

  • Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks

    Nima Tajbakhsh;Suryakanth R. Gurudu;Jianming Liang

  • Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks

    Nima Tajbakhsh;Michael B. Gotway;Jianming Liang

  • Applications and impacts of Google Earth: A decadal review (2006-2016)

    Jianming Liang;Jianming Liang;Jianhua Gong;Wenhang Li

  • Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning

    Fatemeh Haghighi;Mohammad Reza Hosseinzadeh Taher;Zongwei Zhou;Michael B. Gotway

  • Computer-aided detection (CAD) for CT colonography: a tool to address a growing need.

    L Bogoni;P Cathier;M Dundar;A Jerebko

  • Automatic Sky View Factor Estimation from Street View Photographs—A Big Data Approach

    Jianming Liang;Jianhua Gong;Jun Sun;Jieping Zhou

  • Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

    Mahfuzur Rahman Siddiquee;Zongwei Zhou;Nima Tajbakhsh;Ruibin Feng

  • United Snakes

    Jianming Liang;Tim McInerne;Demetri Terzopoulos

  • Computer aided detection of pulmonary embolism with tobogganing and mutiple instance classification in CT pulmonary angiography

    Jianming Liang;Jinbo Bi

  • United Snakes [image analysis software]

    J. Liang;T. McInerney;D. Terzopoulos

  • Synthesis of Urban CO2 Emission Estimates from Multiple Methods from the Indianapolis Flux Project (INFLUX).

    Jocelyn C. Turnbull;Jocelyn C. Turnbull;Anna Karion;Kenneth James Davis;Thomas Claude Yves Lauvaux

  • An open-source 3D solar radiation model integrated with a 3D Geographic Information System

    Jianming Liang;Jianhua Gong;Jieping Zhou;Abdoul Nasser Ibrahim

  • Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data

    Nima Tajbakhsh;Yufei Hu;Junli Cao;Xingjian Yan

Frequent Co-Authors

Kevin R. Gurney
Kevin R. Gurney Northern Arizona University
Jinbo Bi
Jinbo Bi University of Connecticut
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Thomas Lauvaux
Thomas Lauvaux Pennsylvania State University
Paul B. Shepson
Paul B. Shepson Stony Brook University
Le Lu
Le Lu Alibaba Group (China)
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Charles E. Miller
Charles E. Miller California Institute of Technology
Paul O. Wennberg
Paul O. Wennberg California Institute of Technology
Anna Karion
Anna Karion National Institute of Standards and Technology

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