World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7970
World Ranking
7583
National Ranking
996

Guoyan Zheng 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 Guoyan Zheng sits on this spectrum.

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 publications 991+

This scientist: 346 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Guoyan Zheng 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 Guoyan Zheng sits on this spectrum.

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 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Guoyan Zheng is affiliated with Shanghai Jiao Tong University in China. Their research spans multiple fields, including Medicine, Computer Science, and Engineering, with a substantial focus on applications involving medical imaging and analysis.

The scientist's main areas of study are supported by subfields such as Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence. These disciplines reflect an interdisciplinary approach bridging clinical applications with advanced computational methods.

Guoyan Zheng's work explores various research topics including Medical Imaging and Analysis, Surgical Simulation and Training, Hip Disorders and Treatments, Advanced Neural Network Applications, Medical Image Segmentation Techniques, Domain Adaptation and Few-Shot Learning, and Radiomics and Machine Learning in Medical Imaging.

Recent notable publications include:

  • Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers, 2021, Medical Image Analysis
  • CholecTriplet2021: A benchmark challenge for surgical action triplet recognition, 2023, Medical Image Analysis
  • CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation, 2021, Medical Image Analysis
  • MRI-based 3D models of the hip joint enables radiation-free computer-assisted planning of periacetabular osteotomy for treatment of hip dysplasia using deep learning for automatic segmentation, 2020, European Journal of Radiology Open
  • Evaluation of an intensity-based algorithm for 2D/3D registration of natural knee videofluoroscopy data, 2020, Medical Engineering & Physics

Frequent co-authors collaborating with Guoyan Zheng include Xiaoyang Zou, Rong Tao, Moritz Tannast, Runze Wang, and Wenyuan Sun. This group reflects ongoing partnerships that contribute to the interdisciplinary nature of Zheng's studies.

Publishing venues commonly associated with Guoyan Zheng's work comprise arXiv (Cornell University), International Journal of Computer Assisted Radiology and Surgery, Medical Image Analysis, Sensors, and Computerized Medical Imaging and Graphics. These venues highlight a balance between preprints, specialized journals, and engineering-focused platforms.

Guoyan Zheng has also contributed to the publication of at least one academic book titled Computational Methods and Clinical Applications for Spine Imaging, published by Springer Science+Business Media in 2020.

Best Publications

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

    Xiahai Zhuang;Lei Li;Christian Payer;Darko Stern

  • Crowd Counting with Deep Negative Correlation Learning

    Zenglin Shi;Le Zhang;Yun Liu;Xiaofeng Cao

  • Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

    Hugo J. Kuijf;Adria Casamitjana;D. Louis Collins;Mahsa Dadar

  • Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge

    Ching-Wei Wang;Cheng-Ta Huang;Meng-Che Hsieh;Chung-Hsing Li

  • Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

    Li Wang;Dong Nie;Guannan Li;Elodie Puybareau

  • A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images.

    Guoyan Zheng;Sebastian Gollmer;Steffen Schumann;Xiao Dong

  • Method for establishing a three-dimensional representation of a bone from image data

    Guoyan Zheng;Lutz-Peter Nolte

  • Statistical deformable bone models for robust 3D surface extrapolation from sparse data

    Kumar T. Rajamani;Martin Andreas Styner;Haydar Talib;Guoyan Zheng

  • 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.

    Xiaomeng Li;Qi Dou;Hao Chen;Chi Wing Fu

  • Computer-Assisted Orthopedic Surgery: Current State and Future Perspective.

    Guoyan Zheng;Lutz-Peter Nolte

  • Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method.

    Chengwen Chu;Daniel L. Belavý;Daniel L. Belavý;Gabriele Armbrecht;Martin Bansmann

  • 3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images

    Guodong Zeng;Xin Yang;Jing Li;Lequan Yu

  • A hybrid CT‐free navigation system for total hip arthroplasty

    Guoyan Zheng;Axel Marx;Ulrich Langlotz;Karl-Heinz Widmer

  • Nonlinear Regression via Deep Negative Correlation Learning

    Le Zhang;Zenglin Shi;Ming-Ming Cheng;Yun Liu

  • Hip2Norm: An object-oriented cross-platform program for 3D analysis of hip joint morphology using 2D pelvic radiographs

    G. Zheng;M. Tannast;C. Anderegg;K. A. Siebenrock

  • Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI

    Hossein Arabi;Guodong Zeng;Guoyan Zheng;Guoyan Zheng;Habib Zaidi

  • Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

    Hugo J. Kuijf;J. Matthijs Biesbroek;Jeroen de Bresser;Rutger Heinen

  • Computer aided high tibial open wedge osteotomy

    Peter Keppler;Florian Gebhard;Paul A. Grützner;Gongli Wang

  • Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and point distribution model

    Guoyan Zheng;Miguel Á.G. Ballester;Martin Styner;Lutz-Peter Nolte

  • Fully automatic segmentation of lumbar vertebrae from CT images using cascaded 3D fully convolutional networks

    Rens Janssens;Guodong Zeng;Guoyan Zheng

Frequent Co-Authors

Lutz-Peter Nolte
Lutz-Peter Nolte University of Bern
Klaus A. Siebenrock
Klaus A. Siebenrock University of Bern
Shuo Li
Shuo Li Case Western Reserve University
Martin Styner
Martin Styner University of North Carolina at Chapel Hill
Pierre Jannin
Pierre Jannin University of Rennes
Giancarlo Ferrigno
Giancarlo Ferrigno Polytechnic University of Milan
Ben Glocker
Ben Glocker Imperial College London
Lena Maier-Hein
Lena Maier-Hein German Cancer Research Center
Gregory C. Sharp
Gregory C. Sharp Harvard University
Le Zhang
Le Zhang University of Electronic Science and Technology of China

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