World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
14025
World Ranking
2787
National Ranking
1378

Zhengrong Liang 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 Zhengrong Liang 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: 437 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Zhengrong Liang 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 Zhengrong Liang 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: 63 D-Index — 81st percentile

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

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

Overview

Zhengrong Liang is affiliated with Stony Brook University in the United States. Their research spans multiple disciplines, primarily in Medicine and Computer Science, with a strong focus on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, and Oncology.

Liang's work has concentrated on applying advanced imaging techniques and machine learning methods to medical diagnostics and cancer detection. The main topics covered in their research include:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • AI in cancer detection
  • Radiation Dose and Imaging
  • Colorectal Cancer Screening and Detection
  • Image Retrieval and Classification Techniques

Key recent publications by Zhengrong Liang include:

  • "Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer," 2020, BioMedical Engineering OnLine
  • "Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification," 2021, Diagnostics
  • "Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization," 2020, IEEE Transactions on Medical Imaging
  • "Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning," 2020, Journal of Digital Imaging
  • "An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography," 2022, Sensors

Liang frequently collaborates with several coauthors who have contributed to their body of work. These frequent collaborators include:

  • Yongfeng Gao
  • Marc J. Pomeroy
  • Perry J. Pickhardt
  • Weiguo Cao
  • Hao Zhang

The scientist's research has been presented and published repeatedly in specialized venues that focus on medical and imaging technologies. Notable publication venues featuring Liang's research are:

  • Medical Imaging 2020: Computer-Aided Diagnosis
  • IEEE Transactions on Medical Imaging
  • Sensors
  • Visual Computing for Industry Biomedicine and Art
  • 7th International Conference on Image Formation in X-Ray Computed Tomography

Best Publications

  • Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography

    Jing Wang;Tianfang Li;Hongbing Lu;Zhengrong Liang

  • System and method for performing a three-dimensional virtual examination of objects, such as internal organs

    Arie E. Kaufman;Zhengrong Liang;Mark R. Wax;Ming Wan

  • Nonlinear sinogram smoothing for low-dose X-ray CT

    Tianfang Li;Xiang Li;Jing Wang;Junhai Wen

  • Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction.

    Yan Liu;Jianhua Ma;Jianhua Ma;Yi Fan;Zhengrong Liang

  • Computer aided visualization, fusion and treatment planning

    Zhengrong Liang;Dongqing Chen;Bin Li;Clemente T. Roque

  • 3D virtual colonoscopy

    Lichan Hong;A. Kaufman;Yi-Chih Wei;A. Viswambharan

  • Sparse-view x-ray CT reconstruction via total generalized variation regularization.

    Shanzhou Niu;Yang Gao;Zhaoying Bian;Jing Huang

  • Conceptual design of a proton computed tomography system for applications in proton radiation therapy

    R. Schulte;V. Bashkirov;Tianfang Li;Zhengrong Liang

  • Texture feature analysis for computer-aided diagnosis on pulmonary nodules.

    Fangfang Han;Huafeng Wang;Guopeng Zhang;Hao Han

  • Parameter estimation and tissue segmentation from multispectral MR images

    Zhengrong Liang;J.R. MacFall;D.P. Harrington

  • Low-dose computed tomography image restoration using previous normal-dose scan.

    Jianhua Ma;Jing Huang;Qianjin Feng;Hua Zhang

  • Automatic centerline extraction for virtual colonoscopy

    Ming Wan;Zhengrong Liang;Qi Ke;Lichan Hong

  • System and method for performing a three-dimensional virtual segmentation and examination

    Arie E. Kaufman;Zhengrong Liang;Mark R. Wax;Ming Wan

  • Computer aided treatment planning

    Zhengrong Liang;Bin Li;Dongqing Chen;Eric E. Smouha

  • System and method for performing three-dimensional virtual examination

    Zhengrong A E Kaufman Hong Lic

  • A METHOD FOR GENERATING A FLY-PATH THROUGH A VIRTUAL COLON LUMEN

    Kaufman Arie E;Liang Zhengrong;Wax Mark R;Wan Ming

  • Variance analysis of x-ray CT sinograms in the presence of electronic noise background.

    Jianhua Ma;Zhengrong Liang;Yi Fan;Yan Liu

  • A novel approach to extract colon lumen from CT images for virtual colonoscopy

    D. Chen;M.R. Wax;L. Li;Z. Liang

  • System and method for performing a three-dimenional virtual segmentation and examination

    Kaufman A E;Zhengrong Liang;Wax M R

  • Radiomics assessment of bladder cancer grade using texture features from diffusion‐weighted imaging

    Xi Zhang;Xiaopan Xu;Qiang Tian;Baojuan Li

  • An experimental study on the noise properties of x-ray CT sinogram data in Radon space

    Jing Wang;Hongbing Lu;Zhengrong Liang;Daria Eremina

Frequent Co-Authors

Arie E. Kaufman
Arie E. Kaufman Stony Brook University
Wufan Chen
Wufan Chen Southern Medical University
Perry J. Pickhardt
Perry J. Pickhardt University of Wisconsin–Madison
Xianfeng Gu
Xianfeng Gu Stony Brook University
Lichan Hong
Lichan Hong Google (United States)
Klaus Mueller
Klaus Mueller Stony Brook University
Lei Xing
Lei Xing Stanford University
Jiang Hsieh
Jiang Hsieh General Electric (Spain)
Lauren B. Krupp
Lauren B. Krupp New York University
A. Seiden
A. Seiden University of California, Santa Cruz

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