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Yaoqin Xie

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 33 12734 12364 1570 1561 246 4318

Yaoqin Xie publications per year

The chart shows the history of publications by Yaoqin Xie between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yaoqin Xie published across 25 years, from 2001 to 2025, averaging 13.4 papers a year. Output peaked at 38 publications in 2013. 58 of the 336 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2013. 2001: 1 publication 2002: 1 publication 2003: 0 publications 2004: 3 publications 2005: 1 publication 2006: 1 publication 2007: 5 publications 2008: 7 publications 2009: 6 publications 2010: 6 publications 2011: 9 publications 2012: 15 publications 2013: 38 publications 2014: 15 publications 2015: 7 publications 2016: 30 publications 2017: 20 publications 2018: 12 publications 2019: 18 publications 2020: 17 publications 2021: 20 publications 2022: 17 publications 2023: 29 publications 2024: 26 publications 2025: 32 publications
2001 2025

336 publications in total across all disciplines

View publications per year as a table
Yaoqin Xie: publications per year, 2001 to 2025
Year Publications
2001 1
2002 1
2003 0
2004 3
2005 1
2006 1
2007 5
2008 7
2009 6
2010 6
2011 9
2012 15
2013 38
2014 15
2015 7
2016 30
2017 20
2018 12
2019 18
2020 17
2021 20
2022 17
2023 29
2024 26
2025 32
Total 336
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Yaoqin Xie 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 Yaoqin Xie 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, 242–251 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: 246 publications — 61st percentile

61% 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
242–251 408 246
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

Yaoqin Xie 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 Yaoqin Xie 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, 32–33 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: 33 D-Index — 13th percentile

13% 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 33
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
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

Yaoqin Xie is affiliated with the Chinese Academy of Sciences in China. Their research spans multiple fields particularly focused on Medicine, Computer Science, and Engineering, with a significant concentration in subfields such as Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Radiation, and Artificial Intelligence.

The scientist's work predominantly covers topics related to Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, Advanced Radiotherapy Techniques, AI in cancer detection, Medical Imaging and Analysis, Advanced X-ray and CT Imaging, and Medical Image Segmentation Techniques.

Yaoqin Xie has a record of publications in various journals and conference venues, including:

  • arXiv (Cornell University)
  • Bioengineering
  • Computers in Biology and Medicine
  • Medical Image Analysis
  • IEEE Journal of Biomedical and Health Informatics

The following recent papers illustrate the scope of their research:

  • Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy, 2020, Quantitative Imaging in Medicine and Surgery
  • Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning, 2021, JAMA Network Open
  • Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network, 2021, Medical Image Analysis
  • Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study, 2021, The Lancet Digital Health
  • Comparison of Supervised and Unsupervised Deep Learning Methods for Medical Image Synthesis between Computed Tomography and Magnetic Resonance Images, 2020, BioMed Research International

Coauthorship patterns highlight frequent collaboration with researchers such as Xiaokun Liang, Wenjian Qin, Chulong Zhang, Jingjing Dai, and Wenfeng He, with the highest number of joint publications with Xiaokun Liang.

Best Publications

  • A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution

    Zhicheng Zhang;Xiaokun Liang;Xu Dong;Yaoqin Xie

  • Scatter correction for cone-beam CT in radiation therapy.

    Lei Zhu;Yaoqin Xie;Jing Wang;Lei Xing

  • Intrafractional motion of the prostate during hypofractionated radiotherapy.

    Yaoqin Xie;David Djajaputra;Christopher R. King;Sabbir Hossain

  • Objective assessment of deformable image registration in radiotherapy: A multi-institution study

    Rojano Kashani;Martina Hub;James M. Balter;Marc L. Kessler

  • A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.

    Lian Zou;Shaode Yu;Shaode Yu;Tiebao Meng;Zhicheng Zhang

  • Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided Radiotherapy

    Wen Li;Yafen Li;Wenjian Qin;Xiaokun Liang

  • Breast mass lesion classification in mammograms by transfer learning

    Fan Jiang;Hui Liu;Shaode Yu;Yaoqin Xie

  • A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking

    Ran Wang;Xiaokun Liang;Xuanyu Zhu;Yaoqin Xie

  • Auto-propagation of contours for adaptive prostate radiation therapy.

    Ming Chao;Yaoqin Xie;Lei Xing

  • Evaluation of various speckle reduction filters on medical ultrasound images

    Shibin Wu;Qingsong Zhu;Yaoqin Xie

  • Robust Segmentation of Intima–Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle

    Shen Zhao;Zhifan Gao;Heye Zhang;Yaoqin Xie

  • Feature‐based rectal contour propagation from planning CT to cone beam CT

    Yaoqin Xie;Ming Chao;Percy Lee;Lei Xing

  • A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning

    Yufa Xia;Yaoqin Xie

  • Iterative image-domain ring artifact removal in cone-beam CT

    Xiaokun Liang;Zhicheng Zhang;Tianye Niu;Shaode Yu

  • Learning based alpha matting using support vector regression

    Zhanpeng Zhang;Qingsong Zhu;Yaoqin Xie

  • A shallow convolutional neural network for blind image sharpness assessment.

    Shaode Yu;Shibin Wu;Lei Wang;Fan Jiang

  • Transferring deep neural networks for the differentiation of mammographic breast lesions

    ShaoDe Yu;LingLing Liu;ZhaoYang Wang;GuangZhe Dai

  • Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network.

    Xiaokun Liang;Na Li;Zhicheng Zhang;Jing Xiong

  • Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method

    Guanglei Zhang;Fei Liu;Jie Liu;Jianwen Luo

  • A Novel Recursive Bayesian Learning-Based Method for the Efficient and Accurate Segmentation of Video With Dynamic Background

    Qingsong Zhu;Zhan Song;Yaoqin Xie;Lei Wang

  • Using Edge-Preserving Algorithm with Non-local Mean for Significantly Improved Image-Domain Material Decomposition in Dual Energy CT

    Wei Zhao;Tianye Niu;Lei Xing;Yaoqin Xie

  • TU‐C‐M100J‐03: Objective Assessment of Deformable Image Registration in Radiotherapy — a Multi‐Institution Study

    R Kashani;J Balter;M Kessler;M Hub

Frequent Co-Authors

Lei Xing
Lei Xing Stanford University
Xizhang Wang
Xizhang Wang Nanjing University
Tianmiao Wang
Tianmiao Wang Beihang University
Lei Wang
Lei Wang University of California, San Francisco
Ling Shao
Ling Shao Terminus International
Song Gao
Song Gao University of Wisconsin–Madison
Lei Wang
Lei Wang University of Wollongong
Shu-Hong Yu
Shu-Hong Yu University of Science and Technology of China
Yong Yang
Yong Yang Chinese Academy of Sciences
Sarang Joshi
Sarang Joshi University of Utah

External Links

Personal website of Yaoqin Xie

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Related Online Degrees & Career Pathways

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A Computer Science degree isn’t the only path—degrees in related fields can also open doors. For instance, you might be curious, what can i do with an environmental science degree? Both fields offer diverse, rewarding career pathways in technology, research, and beyond.

Best Scientists Citing Yaoqin Xie

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Publications: 16

Sean P. Collins

Sean P. Collins

Vanderbilt University Medical Center

Publications: 14

Shuo Li

Shuo Li

Case Western Reserve University

Publications: 12

Steve B Jiang

Steve B Jiang

The University of Texas Southwestern Medical Center

Publications: 12

Ge Wang

Ge Wang

Rensselaer Polytechnic Institute

Publications: 10

Yusuke Nakamura

Yusuke Nakamura

National Institutes of Biomedical Innovation, Health and Nutrition

Publications: 8

Q. M. Jonathan Wu

Q. M. Jonathan Wu

University of Windsor

Publications: 8

Lequan Yu

Lequan Yu

University of Hong Kong

Publications: 8

Pingkun Yan

Pingkun Yan

Rensselaer Polytechnic Institute

Publications: 7

David A. Jaffray

David A. Jaffray

The University of Texas MD Anderson Cancer Center

Publications: 7

Yang Lei

Yang Lei

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Publications: 7

Tonghe Wang

Tonghe Wang

Memorial Sloan Kettering Cancer Center

Publications: 7

Jeffrey H. Siewerdsen

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