World's Best Scientists 2026 revealed!
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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
15857
World Ranking
4721
National Ranking
63

Jiang Hsieh 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 Jiang Hsieh 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: 363 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Jiang Hsieh 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 Jiang Hsieh 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.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2008 - SPIE Fellow

Overview

Jiang Hsieh is affiliated with General Electric (Spain) in Spain and focuses on research primarily in the fields of Medicine and Engineering. Their work centers on Radiology, Nuclear Medicine and Imaging, as well as Biomedical Engineering, with additional contributions to Surgery, Pulmonary and Respiratory Medicine, and Electrical and Electronic Engineering.

The main topics covered in their research include:

  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Radiation Dose and Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced MRI Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Coronary Interventions and Diagnostics

Hsieh has multiple recent publications, reflecting their focus in CT and medical imaging technology. These include:

  • "Computed tomography recent history and future perspectives," 2021, Journal of Medical Imaging
  • "Protocol Optimization Considerations for Implementing Deep Learning CT Reconstruction," 2021, American Journal of Roentgenology
  • "Can Photon-Counting CT Improve Estimation Accuracy of Morphological Radiomics Features? A Simulation Study for Assessing the Quantitative Benefits from Improved Spatial Resolution in Deep Silicon-Based Photon-Counting CT," 2022, Academic Radiology
  • "High Pitch Helical CT Reconstruction," 2021, IEEE Transactions on Medical Imaging
  • "Principles and applications of multienergy CT: Report of AAPM Task Group 291," 2020, Medical Physics

Frequent coauthors in Hsieh's work include:

  • Thomas Flohr
  • Shobhit Sharma
  • Debashish Pal
  • Ehsan Abadi
  • Paul Segars

Hsieh commonly publishes in several venues, notably:

  • Medical Physics
  • Journal of cardiovascular computed tomography
  • SPIE eBooks
  • Journal of Medical Imaging
  • American Journal of Roentgenology

In addition to articles, Hsieh has contributed to book publications, including a title published by SPIE:

  • "Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Fourth Edition," 2022

Their academic recognition includes fellowships from professional organizations:

  • Fellow of the Indian National Academy of Engineering (INAE), 2015
  • SPIE Fellow, 2008

Best Publications

  • Computed Tomography: Principles, Design, Artifacts, and Recent Advances

    Jiang Hsieh

  • A three-dimensional statistical approach to improved image quality for multislice helical CT.

    Jean-Baptiste Thibault;Ken D. Sauer;Charles A. Bouman;Jiang Hsieh

  • Low-Dose X-ray CT Reconstruction via Dictionary Learning

    Qiong Xu;Hengyong Yu;Xuanqin Mou;Lei Zhang

  • Prospectively Gated Transverse Coronary CT Angiography versus Retrospectively Gated Helical Technique : Improved Image Quality and Reduced Radiation Dose

    James P Earls;Elise L Berman;Bruce A Urban;Charlene A Curry

  • Abdominal CT: Comparison of Adaptive Statistical Iterative and Filtered Back Projection Reconstruction Techniques

    Sarabjeet Singh;Mannudeep K. Kalra;Jiang Hsieh;Paul E. Licato

  • Reducing abdominal CT radiation dose with adaptive statistical iterative reconstruction technique.

    Priyanka Prakash;Mannudeep K. Kalra;Avinash K. Kambadakone;Homer Pien

  • Adaptive streak artifact reduction in computed tomography resulting from excessive x-ray photon noise

    Jiang Hsieh

  • Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study.

    Sarabjeet Singh;Mannudeep K. Kalra;Matthew D. Gilman;Jiang Hsieh

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

    Tianfang Li;Xiang Li;Jing Wang;Junhai Wen

  • Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization

    Zhou Yu;J Thibault;C A Bouman;K D Sauer

  • An iterative approach to the beam hardening correction in cone beam CT

    Jiang Hsieh;Robert C. Molthen;Robert C. Molthen;Christopher A. Dawson;Roger H. Johnson;Roger H. Johnson

  • Step-and-shoot data acquisition and reconstruction for cardiac x-ray computed tomography

    Jiang Hsieh;John Londt;Melissa Vass;Jay Li

  • Radiation dose reduction with chest computed tomography using adaptive statistical iterative reconstruction technique: initial experience.

    Priyanka Prakash;Mannudeep K. Kalra;Subba R. Digumarthy;Jiang Hsieh

  • Computer-simulated radiation dose reduction for abdominal multidetector CT of pediatric patients.

    Donald P. Frush;Christopher C. Slack;Caroline L. Hollingsworth;George S. Bisset

  • A novel reconstruction algorithm to extend the CT scan field-of-view.

    J. Hsieh;E. Chao;J. Thibault;B. Grekowicz

  • A three-dimensional-weighted cone beam filtered backprojection (CB-FBP) algorithm for image reconstruction in volumetric CT-helical scanning.

    Xiangyang Tang;Jiang Hsieh;Roy A Nilsen;Sandeep Dutta

  • Predictive respiratory gating: a new method to reduce motion artifacts on CT scans.

    C. J. Ritchie;Jiang Hsieh;M. F. Gard;J. D. Godwin

  • Diffuse Lung Disease: CT of the Chest with Adaptive Statistical Iterative Reconstruction Technique

    Priyanka Prakash;Mannudeep K. Kalra;Jeanne B. Ackman;Subba R. Digumarthy

  • Recent Advances in CT Image Reconstruction

    Jiang Hsieh;Brian Nett;Zhou Yu;Ken Sauer

  • Volumetric computed tomography system for cardiac imaging

    Hui Hu;Jiang Hsieh;Stanley H. Fox;Kishore C. Acharya

Frequent Co-Authors

Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Guang-Hong Chen
Guang-Hong Chen University of Wisconsin–Madison
Charles A. Bouman
Charles A. Bouman Purdue University West Lafayette
Jonathon Leipsic
Jonathon Leipsic University of British Columbia
Hengyong Yu
Hengyong Yu University of Massachusetts Lowell
Charles A. Mistretta
Charles A. Mistretta University of Wisconsin–Madison
Zhengrong Liang
Zhengrong Liang Stony Brook University
James K. Min
James K. Min NewYork–Presbyterian Hospital
Jing Wang
Jing Wang The University of Texas MD Anderson Cancer Center

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