World's Best Scientists 2026 revealed!
Yuanyuan Wang

Yuanyuan Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 43 7880 7653 1035 1029 331 9363

Yuanyuan Wang publications per year

The chart shows the history of publications by Yuanyuan Wang between 1993 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yuanyuan Wang published across 33 years, from 1993 to 2025, averaging 17.6 papers a year. Output peaked at 64 publications in 2022. 109 of the 582 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1993 to 2025. Vertical axis: number of publications, 0 to 64. Peak 64 publications in 2022. 1993: 1 publication 1994: 0 publications 1995: 1 publication 1996: 1 publication 1997: 0 publications 1998: 1 publication 1999: 1 publication 2000: 0 publications 2001: 1 publication 2002: 2 publications 2003: 4 publications 2004: 3 publications 2005: 6 publications 2006: 7 publications 2007: 12 publications 2008: 19 publications 2009: 14 publications 2010: 17 publications 2011: 19 publications 2012: 10 publications 2013: 16 publications 2014: 20 publications 2015: 23 publications 2016: 18 publications 2017: 36 publications 2018: 22 publications 2019: 39 publications 2020: 20 publications 2021: 37 publications 2022: 64 publications 2023: 59 publications 2024: 47 publications 2025: 62 publications
1993 2025

582 publications in total across all disciplines

View publications per year as a table
Yuanyuan Wang: publications per year, 1993 to 2025
Year Publications
1993 1
1994 0
1995 1
1996 1
1997 0
1998 1
1999 1
2000 0
2001 1
2002 2
2003 4
2004 3
2005 6
2006 7
2007 12
2008 19
2009 14
2010 17
2011 19
2012 10
2013 16
2014 20
2015 23
2016 18
2017 36
2018 22
2019 39
2020 20
2021 37
2022 64
2023 59
2024 47
2025 62
Total 582
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Yuanyuan Wang 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 Yuanyuan Wang 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, 322–331 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: 331 publications — 79th percentile

79% 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
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
322–331 206 331
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
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Yuanyuan Wang 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 Yuanyuan Wang 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, 42–43 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: 43 D-Index — 46th percentile

46% 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 43
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
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Overview

Yuanyuan Wang is affiliated with Fudan University in China and has contributed extensively to the field of medicine, with a particular focus on radiology, nuclear medicine, and medical imaging. Their research intersects with computer vision and pattern recognition, biomedical engineering, surgery, and pulmonary and respiratory medicine.

Their recent published papers include:

  • Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer (2020, Nature Communications)
  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging (2020, Medical Image Analysis)
  • Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics (2020, Nature Communications)
  • Complement C1q-dependent excitatory and inhibitory synapse elimination by astrocytes and microglia in Alzheimer's disease mouse models (2022, Nature Aging)
  • Ultrasound-Based Radiomic Nomogram for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma (2020, Academic Radiology)

Yuanyuan Wang frequently collaborates with several researchers, with notable coauthors including:

  • Yi Guo
  • Jinhua Yu
  • Jing Jiao
  • Shichong Zhou
  • Guoqing Wu

Their publications have appeared repeatedly in a variety of venues. The most frequent venues for their work are:

  • Research Square (Research Square)
  • arXiv (Cornell University)
  • Frontiers in Oncology
  • Biomedical Signal Processing and Control
  • Medical Image Analysis

The main fields of study in their body of work focus on medicine, with particular emphasis on the following subfields:

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

Yuanyuan Wang's research topics include:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Medical Image Segmentation Techniques
  • Photoacoustic and Ultrasonic Imaging
  • Advanced Neural Network Applications
  • Thyroid Cancer Diagnosis and Treatment
  • Cerebrovascular and Carotid Artery Diseases

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

    Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

  • Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma.

    Zeju Li;Yuanyuan Wang;Jinhua Yu;Yi Guo

  • Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics

    Jinhua Yu;Yinhui Deng;Tongtong Liu;Jin Zhou

  • Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

    Yuzhou Hu;Yi Guo;Yuanyuan Wang;Jinhua Yu

  • Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement

    Dihong Jiang;Ya-nan Lu;Yu Ma;Yuanyuan Wang

  • Doppler ultrasound signal denoising based on wavelet frames

    Yu Zhang;Yuanyuan Wang;Weiqi Wang;Bin Liu

  • Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method

    Jinhua Yu;Jinglu Tan;Yuanyuan Wang

  • Prediction of Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma: A Radiomics Method Based on Preoperative Ultrasound Images:

    Tongtong Liu;Shichong Zhou;Jinhua Yu;Yi Guo

  • Speckle filtering of ultrasonic images using a modified non local-based algorithm

    Yanhui Guo;Yuanyuan Wang;T. Hou

  • Sonoelastomics for Breast Tumor Classification: A Radiomics Approach with Clustering-Based Feature Selection on Sonoelastography

    Qi Zhang;Yang Xiao;Jingfeng Suo;Jun Shi

  • Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors

    Guoqing Wu;Yinsheng Chen;Yuanyuan Wang;Jinhua Yu

  • A rough margin based support vector machine

    Junhua Zhang;Yuanyuan Wang

  • Segmentation of Fetal Left Ventricle in Echocardiographic Sequences Based on Dynamic Convolutional Neural Networks

    Li Yu;Yi Guo;Yuanyuan Wang;Jinhua Yu

  • Noise reduction and edge detection via kernel anisotropic diffusion

    Jinhua Yu;Yuanyuan Wang;Yuzhong Shen

  • An Ultrasound Radiomics Nomogram for Preoperative Prediction of Central Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma.

    Shi-Chong Zhou;Tong-Tong Liu;Jin Zhou;Yun-Xia Huang

  • Automatic Cobb Measurement of Scoliosis Based on Fuzzy Hough Transform with Vertebral Shape Prior

    Junhua Zhang;Edmond Lou;Lawrence H. Le;Douglas L. Hill

  • Robust phase-based texture descriptor for classification of breast ultrasound images.

    Lingyun Cai;Xin Wang;Yuanyuan Wang;Yi Guo

  • Comparison of the application of B-mode and strain elastography ultrasound in the estimation of lymph node metastasis of papillary thyroid carcinoma based on a radiomics approach

    Tongtong Liu;Xifeng Ge;Jinhua Yu;Yi Guo

  • Predicting termination of atrial fibrillation based on the structure and quantification of the recurrence plot

    Rongrong Sun;Yuanyuan Wang

  • Total variation based gradient descent algorithm for sparse-view photoacoustic image reconstruction.

    Yan Zhang;Yuanyuan Wang;Chen Zhang

  • A computer-aided Cobb angle measurement method and its reliability.

    Junhua Zhang;Edmond Lou;Xinling Shi;Yuanyuan Wang

Frequent Co-Authors

Rob J. van der Geest
Rob J. van der Geest Leiden University Medical Center
Yong-Ping Zheng
Yong-Ping Zheng Hong Kong Polytechnic University
Zhongping Chen
Zhongping Chen University of California, Irvine
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Yefeng Zheng
Yefeng Zheng Tencent (China)
Wenjia Bai
Wenjia Bai Imperial College London
Hairong Zheng
Hairong Zheng Chinese Academy of Sciences
Daru Lu
Daru Lu Fudan University
Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Tom Vercauteren
Tom Vercauteren King's College London

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