World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
8660
World Ranking
5436
National Ranking
1526

Guang-Hong Chen publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Guang-Hong Chen sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 322 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Guang-Hong Chen D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Guang-Hong Chen sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Guang-Hong Chen is affiliated with the University of Wisconsin-Madison in the United States. Their research spans multiple disciplines, primarily focused on medicine and engineering. Within these broad fields, their published work concentrates notably on radiology, nuclear medicine and imaging, biomedical engineering, molecular biology, cardiology and cardiovascular medicine, as well as pulmonary and respiratory medicine.

The scientist's body of work addresses a variety of specialized topics including advanced X-ray and CT imaging, medical imaging techniques and applications, radiation dose and imaging considerations, traditional Chinese medicine analysis, cardiac fibrosis and remodeling, advanced MRI techniques and applications, and COVID-19 diagnosis using artificial intelligence.

The following key publications provide insight into the range and focus of their research:

  • "Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence" (2020), published in Radiology
  • "Calycosin reduces myocardial fibrosis and improves cardiac function in post-myocardial infarction mice by suppressing TGFBR1 signaling pathways" (2022), published in Phytomedicine
  • "Ginsenoside Ro, an oleanolic saponin of Panax ginseng, exerts anti-inflammatory effect by direct inhibiting toll like receptor 4 signaling pathway" (2021), published in Journal of Ginseng Research
  • "Wenqingyin suppresses ferroptosis in the pathogenesis of sepsis-induced liver injury by activating the Nrf2-mediated signaling pathway" (2023), published in Phytomedicine
  • "Tanshinone I Inhibits Oxidative Stress-Induced Cardiomyocyte Injury by Modulating Nrf2 Signaling" (2021), published in Frontiers in Pharmacology

Frequent co-authors collaborating with Guang-Hong Chen include:

  • Yingchun Zhou
  • Ke Li
  • Guoyong Zhang
  • Honglin Xu
  • Yinsheng Li

The researcher's frequent publication venues reflect their interdisciplinary approach and focus areas, with numerous contributions to:

  • Medical Physics
  • Medical Imaging 2020: Physics of Medical Imaging
  • Phytomedicine
  • Journal of Ethnopharmacology
  • Journal of Ginseng Research

Best Publications

  • Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets.

    Guang Hong Chen;Jie Tang;Shuai Leng

  • Abdominal CT With Model-Based Iterative Reconstruction (MBIR): Initial Results of a Prospective Trial Comparing Ultralow-Dose With Standard-Dose Imaging

    Perry J. Pickhardt;Meghan G. Lubner;David H. Kim;Jie Tang

  • Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms

    Jie Tang;Brian E Nett;Guang-Hong Chen

  • Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT.

    Cynthia H. McCollough;Guang Hong Chen;Willi Kalender;Shuai Leng

  • Accuracy of Liver Fat Quantification With Advanced CT, MRI, and Ultrasound Techniques: Prospective Comparison With MR Spectroscopy.

    Harald Kramer;Perry J. Pickhardt;Mark A. Kliewer;Diego Hernando

  • High temporal resolution and streak-free four-dimensional cone-beam computed tomography

    Shuai Leng;Jie Tang;Joseph Zambelli;Brian Nett

  • The prototype high-resolution Fly's Eye cosmic ray detector

    T Abu-Zayyad;M Al-Seady;K Belov;D.J Bird

  • Learning to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions

    Yinsheng Li;Ke Li;Chengzhu Zhang;Juan Montoya

  • Statistical model based iterative reconstruction (MBIR) in clinical CT systems: experimental assessment of noise performance.

    Ke Li;Jie Tang;Guang-Hong Chen

  • Fan-beam and cone-beam image reconstruction via filtering the backprojection image of differentiated projection data.

    Tingliang Zhuang;Shuai Leng;Brian E. Nett;Guang Hong Chen

  • Streaking artifacts reduction in four-dimensional cone-beam computed tomography

    Shuai Leng;Joseph Zambelli;Ranjini Tolakanahalli;Brian Nett

  • Dual energy CT using slow kVp switching acquisition and prior image constrained compressed sensing

    Timothy P Szczykutowicz;Guang-Hong Chen

  • Prior image constrained compressed sensing: Implementation and performance evaluation

    Pascal Thériault Lauzier;Jie Tang;Guang-Hong Chen

  • Exchange-induced enhancement of spin-orbit coupling in two-dimensional electronic systems

    Guang-Hong Chen;M. E. Raikh

  • Multicontrast x-ray computed tomography imaging using Talbot-Lau interferometry without phase stepping.

    Nicholas Bevins;Joseph Zambelli;Ke Li;Zhihua Qi

  • Quantitative imaging of electron density and effective atomic number using phase contrast CT.

    Zhihua Qi;Joseph Zambelli;Nicholas Bevins;Guang-Hong Chen

  • Temporal resolution improvement using PICCS in MDCT cardiac imaging.

    Guang-Hong Chen;Jie Tang;Jiang Hsieh

  • Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence

    Ran Zhang;Xin Tie;Zhihua Qi;Nicholas B. Bevins

  • Statistical model based iterative reconstruction (MBIR) in clinical CT systems. Part II. Experimental assessment of spatial resolution performance

    Ke Li;John Garrett;Yongshuai Ge;Guang-Hong Chen

  • Quantification of Hepatic Steatosis With Dual-Energy Computed Tomography: Comparison With Tissue Reference Standards and Quantitative Magnetic Resonance Imaging in the ob/ob Mouse

    Nathan S. Artz;Catherine D.G. Hines;Stephen T. Brunner;Rashmi M. Agni

  • Prior Image Constrained Compressed Sensing (PICCS)

    Guang Hong Chen;Jie Tang;Shuai Leng

Frequent Co-Authors

David Kieda
David Kieda University of Utah
Jiang Hsieh
Jiang Hsieh General Electric (Spain)
Hongjie Dai
Hongjie Dai University of Hong Kong
Charles A. Mistretta
Charles A. Mistretta University of Wisconsin–Madison
Perry J. Pickhardt
Perry J. Pickhardt University of Wisconsin–Madison
Walter F. Block
Walter F. Block University of Wisconsin–Madison
P. Sommers
P. Sommers Pennsylvania State University
Willi A. Kalender
Willi A. Kalender University of Erlangen-Nuremberg
James A. Zagzebski
James A. Zagzebski University of Wisconsin–Madison
Ehsan Samei
Ehsan Samei Duke University

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