World's Best Scientists 2026 revealed!
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Pingkun Yan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 55 4338 4216 2032 1960 210 11532

Pingkun Yan publications per year

The chart shows the history of publications by Pingkun Yan between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Pingkun Yan published across 22 years, from 2004 to 2025, averaging 14 papers a year. Output peaked at 32 publications in 2011. 46 of the 309 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2011. 2004: 2 publications 2005: 4 publications 2006: 3 publications 2007: 4 publications 2008: 3 publications 2009: 8 publications 2010: 14 publications 2011: 32 publications 2012: 14 publications 2013: 20 publications 2014: 10 publications 2015: 9 publications 2016: 4 publications 2017: 9 publications 2018: 17 publications 2019: 22 publications 2020: 24 publications 2021: 20 publications 2022: 27 publications 2023: 17 publications 2024: 29 publications 2025: 17 publications
2004 2025

309 publications in total across all disciplines

View publications per year as a table
Pingkun Yan: publications per year, 2004 to 2025
Year Publications
2004 2
2005 4
2006 3
2007 4
2008 3
2009 8
2010 14
2011 32
2012 14
2013 20
2014 10
2015 9
2016 4
2017 9
2018 17
2019 22
2020 24
2021 20
2022 27
2023 17
2024 29
2025 17
Total 309
Download as CSV

Pingkun Yan 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 Pingkun Yan 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, 202–211 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: 210 publications — 50th percentile

50% 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
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508 210
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

Pingkun Yan 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 Pingkun Yan 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, 54–55 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: 55 D-Index — 71st percentile

71% 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
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500 55
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

Pingkun Yan is affiliated with Rensselaer Polytechnic Institute in the United States. Their research focuses on fields intersecting medicine and computer science, with significant contributions to radiology, nuclear medicine, imaging, computer vision, and artificial intelligence.

The scientist's work spans several subfields including:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Pulmonary and Respiratory Medicine

Key research topics explored by Pingkun Yan include:

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

The researcher has a strong publication record with several papers appearing in prominent journals. Recent notable papers include:

  • "Development of metaverse for intelligent healthcare," 2022, Nature Machine Intelligence
  • "Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction," 2020, IEEE Transactions on Medical Imaging
  • "Integrative analysis for COVID-19 patient outcome prediction," 2021, UNICA IRIS Institutional Research Information System (University of Cagliari)
  • "Cross-modal attention for multi-modal image registration," 2022, Medical Image Analysis
  • "Deep-Learning-Based Artificial Intelligence for PI-RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study," 2020, Journal of Magnetic Resonance Imaging

Frequent co-authors collaborating with Pingkun Yan include:

  • Ge Wang
  • Xuanang Xu
  • Hanqing Chao
  • Mannudeep K. Kalra
  • Bradford J. Wood

Their research has been published in a variety of venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • International Journal of Computer Assisted Radiology and Surgery
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Medical Image Analysis

Pingkun Yan has also contributed to book publications with Springer Science+Business Media, authoring editions of Machine Learning in Medical Imaging in 2020 and 2021.

Best Publications

  • Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

    Qingsong Yang;Pingkun Yan;Yanbo Zhang;Hengyong Yu

  • Deep learning in medical image registration: a survey

    Grant Haskins;Uwe Kruger;Pingkun Yan

  • Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging

    Peter A. Pinto;Paul H. Chung;Ardeshir R. Rastinehad;Angelo A. Baccala

  • Manifold Regularized Sparse NMF for Hyperspectral Unmixing

    Xiaoqiang Lu;Hao Wu;Yuan Yuan;Pingkun Yan

  • Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

    Qingsong Yang;Pingkun Yan;Yanbo Zhang;Hengyong Yu

  • Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

    Qikui Zhu;Bo Du;Pingkun Yan

  • Learning 4D action feature models for arbitrary view action recognition

    Pingkun Yan;S.M. Khan;M. Shah

  • Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction

    Xi Fang;Pingkun Yan

  • Local ternary co-occurrence patterns: A new feature descriptor for MRI and CT image retrieval

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • Automatic Segmentation of High-Throughput RNAi Fluorescent Cellular Images

    Pingkun Yan;Xiaobo Zhou;Xiaobo Zhou;M. Shah;S.T.C. Wong

  • Deeply-supervised CNN for prostate segmentation

    Qikui Zhu;Bo Du;Baris Turkbey;Peter L. Choyke

  • Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos

    Xianbin Cao;Changxia Wu;Pingkun Yan;Xuelong Li

  • Saliency Detection by Multiple-Instance Learning

    Qi Wang;Yuan Yuan;Pingkun Yan;Xuelong Li

  • Fast fit-free analysis of fluorescence lifetime imaging via deep learning.

    Jason T Smith;Ruoyang Yao;Nattawut Sinsuebphon;Alena Rudkouskaya

  • Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

    Hanqing Chao;Hongming Shan;Fatemeh Homayounieh;Ramandeep Singh

  • Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation

    Pingkun Yan;Sheng Xu;Baris Turkbey;Jochen Kruecker

  • D'Amico risk stratification correlates with degree of suspicion of prostate cancer on multiparametric magnetic resonance imaging.

    Ardeshir R Rastinehad;Angelo A Baccala;Paul H Chung;Juan M Proano

  • 3D Model based Object Class Detection in An Arbitrary View

    Pingkun Yan;S.M. Khan;M. Shah

  • MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection

    Jun Shi;Zheng Li;Shihui Ying;Chaofeng Wang

  • Single-image super-resolution via local learning

    Yi Tang;Pingkun Yan;Yuan Yuan;Xuelong Li

  • Learning deep similarity metric for 3D MR-TRUS image registration.

    Grant Haskins;Jochen Kruecker;Uwe Kruger;Sheng Xu

  • Machine learning in medical imaging

    Pingkun Yan;Kenji Suzuki;Fei Wang;Dinggang Shen

  • Editorial: machine learning in medical imaging

    Kenji Suzuki;Pingkun Yan;Fei Wang;Dinggang Shen

Frequent Co-Authors

Xuelong Li
Xuelong Li China Telecom (China)
Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Bradford J. Wood
Bradford J. Wood National Institutes of Health
Baris Turkbey
Baris Turkbey National Institutes of Health
Peter L. Choyke
Peter L. Choyke National Institutes of Health
Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Peter A. Pinto
Peter A. Pinto National Institutes of Health
Xavier Intes
Xavier Intes Rensselaer Polytechnic Institute
Uwe Kruger
Uwe Kruger Rensselaer Polytechnic Institute
Bo Du
Bo Du Wuhan University

External Links

Personal website of Pingkun Yan Google Scholar page

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Best Scientists Citing Pingkun Yan

Baris Turkbey

Baris Turkbey

National Institutes of Health

Publications: 90

Peter L. Choyke

Peter L. Choyke

National Institutes of Health

Publications: 71

Bradford J. Wood

Bradford J. Wood

National Institutes of Health

Publications: 57

Peter A. Pinto

Peter A. Pinto

National Institutes of Health

Publications: 47

Xuelong Li

Xuelong Li

China Telecom (China)

Publications: 46

Yuan Yuan

Yuan Yuan

Huawei Technologies (China)

Publications: 45

Ge Wang

Ge Wang

Rensselaer Polytechnic Institute

Publications: 39

Maria J. Merino

Maria J. Merino

National Institutes of Health

Publications: 30

Ling Shao

Ling Shao

Terminus International

Publications: 29

Mark Emberton

Mark Emberton

University College London

Publications: 28

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 27

Xiaoqiang Lu

Xiaoqiang Lu

Chinese Academy of Sciences

Publications: 27

Samir S. Taneja

Samir S. Taneja

New York University

Publications: 27

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 25

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 23

Baowei Fei

Baowei Fei

The University of Texas at Dallas

Publications: 23

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