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Jianming Liang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 6978 6776 3056 2941 150 22259

Jianming Liang publications per year

The chart shows the history of publications by Jianming Liang between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jianming Liang published across 32 years, from 1994 to 2025, averaging 6.8 papers a year. Output peaked at 21 publications in 2017. 20 of the 218 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2017. 1994: 3 publications 1995: 0 publications 1996: 0 publications 1997: 2 publications 1998: 2 publications 1999: 5 publications 2000: 0 publications 2001: 1 publication 2002: 0 publications 2003: 1 publication 2004: 5 publications 2005: 10 publications 2006: 3 publications 2007: 3 publications 2008: 7 publications 2009: 5 publications 2010: 1 publication 2011: 6 publications 2012: 6 publications 2013: 5 publications 2014: 10 publications 2015: 11 publications 2016: 10 publications 2017: 21 publications 2018: 16 publications 2019: 12 publications 2020: 21 publications 2021: 14 publications 2022: 13 publications 2023: 5 publications 2024: 8 publications 2025: 12 publications
1994 2025

218 publications in total across all disciplines

View publications per year as a table
Jianming Liang: publications per year, 1994 to 2025
Year Publications
1994 3
1995 0
1996 0
1997 2
1998 2
1999 5
2000 0
2001 1
2002 0
2003 1
2004 5
2005 10
2006 3
2007 3
2008 7
2009 5
2010 1
2011 6
2012 6
2013 5
2014 10
2015 11
2016 10
2017 21
2018 16
2019 12
2020 21
2021 14
2022 13
2023 5
2024 8
2025 12
Total 218
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 142–151 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609 150
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 44–45 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763 45
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Jianming Liang

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