World's Best Scientists 2026 revealed!
Jianhua Yao

Jianhua Yao

D-Index & Metrics

Computer Science

D-Index
53
Citations
16664
World Ranking
4713
National Ranking
632

Jianhua Yao 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 Jianhua Yao 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: 312 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Jianhua Yao 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 Jianhua Yao 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Jianhua Yao is affiliated with Tencent in China and has a significant research presence across multiple scientific fields, particularly within life sciences and engineering. Their work primarily spans Biochemistry, Genetics and Molecular Biology, Medicine, and Engineering, reflecting a multidisciplinary approach to complex biological and medical challenges.

The scientist has made substantial contributions to various subfields of study including Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, and Oncology. Their research covers a wide range of topics such as Single-cell and spatial transcriptomics, AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Monoclonal and Polyclonal Antibodies Research, Colorectal Cancer Screening and Detection, and Digital Imaging for Blood Diseases.

Jianhua Yao's publication record reflects frequent collaboration with several researchers. Notable frequent co-authors include:

  • Junzhou Huang
  • Fan Yang
  • Bing He
  • Chenchen Qin
  • Jiangning Song

The scientist has published regularly in a number of prominent venues. The most frequent publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Nature Communications
  • Nature Methods

Recent papers authored or co-authored by Jianhua Yao demonstrate a focus on advanced techniques in biological data analysis and medical AI applications:

  • Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex, 2023, Cell
  • Benchmarking spatial clustering methods with spatially resolved transcriptomics data, 2024, Nature Methods
  • scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data, 2022, Nature Machine Intelligence
  • Early triage of critically ill COVID-19 patients using deep learning, 2020, Nature Communications
  • Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer, 2020, Theranostics

Best Publications

  • Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

    Hoo-Chang Shin;Holger R. Roth;Mingchen Gao;Le Lu

  • Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation

    Holger R. Roth;Le Lu;Jiamin Liu;Jianhua Yao

  • DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

    Ling Zhang;Le Lu;Isabella Nogues;Ronald M. Summers

  • Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

    Hoo-Chang Shin;Kirk Roberts;Le Lu;Dina Demner-Fushman

  • Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population.

    Ronald M. Summers;Jianhua Yao;Perry J. Pickhardt;Marek Franaszek

  • Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models

    Xinjian Chen;J. K. Udupa;U. Bagci;Ying Zhuge

  • Early triage of critically ill COVID-19 patients using deep learning

    Wenhua Liang;Jianhua Yao;Ailan Chen;Qingquan Lv

  • Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer.

    Rui Cao;Fan Yang;Si-Cong Ma;Li Liu

  • Interstitial Myocardial Fibrosis Assessed as Extracellular Volume Fraction with Low-Radiation-Dose Cardiac CT

    Marcelo Souto Nacif;Nadine Kawel;Jason J. Lee;Xinjian Chen

  • Anatomy-specific classification of medical images using deep convolutional nets

    Holger R. Roth;Christopher T. Lee;Hoo-Chang Shin;Ari Seff

  • Computer-integrated revision total hip replacement surgery: concept and preliminary results.

    Russell H. Taylor;Leo Joskowicz;Bill Williamson;André Guéziec

  • Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images

    Ulas Bagci;Jayaram K. Udupa;Neil Mendhiratta;Neil Mendhiratta;Brent Foster

  • Vertebral Body Compression Fractures and Bone Density: Automated Detection and Classification on CT Images.

    Joseph E Burns;Jianhua Yao;Ronald M Summers

  • Interleaved text/image Deep Mining on a large-scale radiology database

    Hoo-Chang Shin;Le Lu;Lauren Kim;Ari Seff

  • Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution

    Yu Zhao;Fan Yang;Yuqi Fang;Hailing Liu

  • Automated spinal column extraction and partitioning

    Jianhua Yao;S.D. O'Connor;R.M. Summers

  • Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models

    Jianhua Yao;M. Miller;M. Franaszek;R.M. Summers

  • A multi-center milestone study of clinical vertebral CT segmentation

    Jianhua Yao;Joseph E. Burns;Daniel Forsberg;Alexander Seitel

  • A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT.

    Joseph E. Burns;Jianhua Yao;Didier Chalhoub;Joseph J. Chen

  • Computer-aided diagnosis of pulmonary infections using texture analysis and support vector machine classification.

    Jianhua Yao;Andrew Dwyer;Ronald M. Summers;Daniel J. Mollura

  • Feasibility of simultaneous computed tomographic colonography and fully automated bone mineral densitometry in a single examination.

    Ronald M. Summers;Nicolai Baecher;Jianhua Yao;Jiamin Liu

  • Determination of feature boundaries in a digital representation of an anatomical structure

    Jianhua Yao;Ronald M. Summers

Frequent Co-Authors

Ronald M. Summers
Ronald M. Summers National Institutes of Health
Le Lu
Le Lu Alibaba Group (China)
Holger R. Roth
Holger R. Roth Nvidia (United States)
Ulas Bagci
Ulas Bagci Northwestern University
Michael M. Ward
Michael M. Ward National Institutes of Health
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Electron Kebebew
Electron Kebebew Stanford University
David A. Bluemke
David A. Bluemke University of Wisconsin–Madison
Xinjian Chen
Xinjian Chen Soochow University
Perry J. Pickhardt
Perry J. Pickhardt University of Wisconsin–Madison

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