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Yang Song

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 38 10289 10001 4317 4141 165 5704

Yang Song publications per year

The chart shows the history of publications by Yang Song between 2010 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yang Song published across 16 years, from 2010 to 2025, averaging 24.4 papers a year. Output peaked at 59 publications in 2025. 112 of the 390 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2010 to 2025. Vertical axis: number of publications, 0 to 59. Peak 59 publications in 2025. 2010: 3 publications 2011: 5 publications 2012: 9 publications 2013: 15 publications 2014: 14 publications 2015: 11 publications 2016: 10 publications 2017: 16 publications 2018: 22 publications 2019: 12 publications 2020: 16 publications 2021: 32 publications 2022: 56 publications 2023: 57 publications 2024: 53 publications 2025: 59 publications
2010 2025

390 publications in total across all disciplines

View publications per year as a table
Yang Song: publications per year, 2010 to 2025
Year Publications
2010 3
2011 5
2012 9
2013 15
2014 14
2015 11
2016 10
2017 16
2018 22
2019 12
2020 16
2021 32
2022 56
2023 57
2024 53
2025 59
Total 390
Download as CSV

Yang Song 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 Yang Song 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, 162–171 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: 165 publications — 33rd percentile

33% 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
162–171 534 165
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

Yang Song 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 Yang Song 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, 38–39 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: 38 D-Index — 30th percentile

30% 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 38
40–41 907
42–43 821
44–45 763
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

Yang Song is affiliated with the California Institute of Technology in the United States. Their research spans the fields of Computer Science and Medicine, with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics, and Electrical and Electronic Engineering.

Their work covers multiple topics including:

  • AI in cancer detection
  • Advanced Neural Network Applications
  • Cell Image Analysis Techniques
  • Digital Imaging for Blood Diseases
  • Domain Adaptation and Few-Shot Learning
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neuroimaging Techniques and Applications

Yang Song has contributed extensively to academic publications with a particular focus on venues such as:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Medical Image Analysis
  • SSRN Electronic Journal
  • bioRxiv (Cold Spring Harbor Laboratory)

They have collaborated frequently with a number of researchers, including:

  • Maurice Pagnucco (37 coauthored papers)
  • Weidong Cai (36 coauthored papers)
  • Chaoyi Zhang (31 coauthored papers)
  • Erik Meijering (25 coauthored papers)
  • Lauren J. O'Donnell (16 coauthored papers)

Notable recent papers by Yang Song include:

  • "SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations", published in 2021 in arXiv (Cornell University)
  • "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", published in 2021 at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "NFN: A novel network followed network for retinal vessel segmentation", published in 2020 in Neural Networks
  • "Network Localization of State and Trait of Auditory Verbal Hallucinations in Schizophrenia", published in 2024 in Schizophrenia Bulletin
  • "PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images", published in 2020 in IEEE Transactions on Medical Imaging

Best Publications

  • Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

    Yutong Xie;Yong Xia;Jianpeng Zhang;Yang Song

  • Sequential Recommendation with Graph Neural Networks

    Jianxin Chang;Chen Gao;Yu Zheng;Yiqun Hui

  • Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

    Tiange Xiang;Chaoyi Zhang;Yang Song;Jianhui Yu

  • Feature-Based Image Patch Approximation for Lung Tissue Classification

    Yang Song;Weidong Cai;Yun Zhou;D. D. Feng

  • Learning to Recommend With Multiple Cascading Behaviors

    Chen Gao;Xiangnan He;Dahua Gan;Xiangning Chen

  • NFN＋: A novel network followed network for retinal vessel segmentation.

    Yicheng Wu;Yong Xia;Yang Song;Yanning Zhang

  • Multiscale Network Followed Network Model for Retinal Vessel Segmentation

    Yicheng Wu;Yong Xia;Yang Song;Yanning Zhang

  • Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision

    Yicheng Wu;Yong Xia;Yang Song;Donghao Zhang

  • Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images

    Dongnan Liu;Donghao Zhang;Yang Song;Heng Huang

  • 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images

    Haozhe Jia;Yong Xia;Yang Song;Donghao Zhang

  • Lung Nodule Classification With Multilevel Patch-Based Context Analysis

    Fan Zhang;Yang Song;Weidong Cai;Min-Zhao Lee

  • Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells

    Afaf Tareef;Yang Song;Heng Huang;Dagan Feng

  • Large Margin Local Estimate With Applications to Medical Image Classification

    Yang Song;Weidong Cai;Heng Huang;Yun Zhou

  • Whole brain white matter connectivity analysis using machine learning: An application to autism.

    Fan Zhang;Peter Savadjiev;Weidong Cai;Yang Song

  • Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging

    Haozhe Jia;Yong Xia;Yang Song;Weidong Cai

  • Adapting fisher vectors for histopathology image classification

    Yang Song;Ju Jia Zou;Hang Chang;Weidong Cai

  • BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture

    Tiange Xiang;Chaoyi Zhang;Dongnan Liu;Yang Song

  • Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement

    Unknown

  • Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting

    Dongnan Liu;Donghao Zhang;Yang Song;Fan Zhang

  • PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images

    Dongnan Liu;Donghao Zhang;Yang Song;Fan Zhang

  • A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images

    Yang Song;Weidong Cai;Jinman Kim;D. D. Feng

  • Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling

    Afaf Tareef;Yang Song;Heng Huang;Yue Wang

  • Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation

    Afaf Tareef;Yang Song;Weidong Cai;Heng Huang

Frequent Co-Authors

Weidong Cai
Weidong Cai University of Sydney
Dagan Feng
Dagan Feng University of Sydney
Heng Huang
Heng Huang University of Pittsburgh
Yue Wang
Yue Wang Zhejiang University
Yong Xia
Yong Xia Northwestern Polytechnical University
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Hanchuan Peng
Hanchuan Peng Southeast University
Wojciech Chrzanowski
Wojciech Chrzanowski University of Sydney
Yogesh Rathi
Yogesh Rathi Brigham and Women's Hospital
Qing Li
Qing Li University of Sydney

External Links

Personal website of Yang Song

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Best Scientists Citing Yang Song

Yong Xia

Yong Xia

Northwestern Polytechnical University

Publications: 30

Dagan Feng

Dagan Feng

University of Sydney

Publications: 26

Weidong Cai

Weidong Cai

University of Sydney

Publications: 19

Yogesh Rathi

Yogesh Rathi

Brigham and Women's Hospital

Publications: 13

Ziyue Xu

Ziyue Xu

Nvidia (United States)

Publications: 12

Pheng-Ann Heng

Pheng-Ann Heng

Chinese University of Hong Kong

Publications: 11

Ron Kikinis

Ron Kikinis

Brigham and Women's Hospital

Publications: 11

Henning Müller

Henning Müller

University of Applied Sciences and Arts Western Switzerland

Publications: 10

Ulas Bagci

Ulas Bagci

Northwestern University

Publications: 9

Le Lu

Le Lu

Alibaba Group (China)

Publications: 9

Yanning Zhang

Yanning Zhang

Northwestern Polytechnical University

Publications: 8

Huazhu Fu

Huazhu Fu

Agency for Science, Technology and Research

Publications: 8

Ronald M. Summers

Ronald M. Summers

National Institutes of Health

Publications: 8

Qi Dou

Qi Dou

Chinese University of Hong Kong

Publications: 8

Linlin Shen

Linlin Shen

Shenzhen University

Publications: 8

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 8

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