World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
8974
World Ranking
3908
National Ranking
1136

Bo Zhao 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 Bo Zhao sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 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: 118 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: 60 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: 119 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Bo Zhao 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 Bo Zhao sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 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: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 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: 95 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: 25 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: 51 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Bo Zhao is affiliated with Stanford University in the United States. Their research primarily spans the fields of Medicine and Computer Science, with a focus on radiology, nuclear medicine and imaging, artificial intelligence, computational mechanics, computer vision and pattern recognition, and computer networks and communications.

The main topics of their work include:

  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Sparse and Compressive Sensing Techniques
  • MRI in cancer diagnosis
  • Advanced Neuroimaging Techniques and Applications
  • Statistical Methods and Inference
  • Tensor decomposition and applications

Bo Zhao has contributed to several research publications, including:

  • Quantum machine learning in medical image analysis: A survey, 2023, Neurocomputing
  • One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI, 2022, IEEE Transactions on Medical Imaging
  • Accelerated MRI Reconstruction With Separable and Enhanced Low-Rank Hankel Regularization, 2022, IEEE Transactions on Medical Imaging
  • An efficient approach to optimal experimental design for magnetic resonance fingerprinting with B-splines, 2022, Magnetic Resonance in Medicine
  • Motion-resolved real-time 4D flow MRI with low-rank and subspace modeling, 2022, Magnetic Resonance in Medicine

Their frequent coauthors include Hengfa Lu, Huihui Ye, Evan Scope Crafts, Di Guo, and Xiaobo Qu.

Bo Zhao's work has been published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • IEEE Transactions on Medical Imaging
  • Magnetic Resonance in Medicine
  • 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Best Publications

  • Diversified Visual Attention Networks for Fine-Grained Object Classification

    Bo Zhao;Xiao Wu;Jiashi Feng;Qiang Peng

  • Image Reconstruction From Highly Undersampled $( {f k}, {t})$ -Space Data With Joint Partial Separability and Sparsity Constraints

    Bo Zhao;J. P. Haldar;A. G. Christodoulou;Zhi-Pei Liang

  • A survey on deep learning-based fine-grained object classification and semantic segmentation

    Bo Zhao;Jiashi Feng;Xiao Wu;Shuicheng Yan

  • Axion-Field-Enabled Nonreciprocal Thermal Radiation in Weyl Semimetals

    Bo Zhao;Cheng Guo;Christina A. C. Garcia;Prineha Narang

  • Enhancement of near-infrared absorption in graphene with metal gratings

    B. Zhao;J. M. Zhao;J. M. Zhao;Z. M. Zhang

  • Thermophotovoltaic emitters based on a two-dimensional grating/thin-film nanostructure

    Bo Zhao;Liping Wang;Liping Wang;Yong Shuai;Yong Shuai;Zhuomin M. Zhang

  • Accelerated MR parameter mapping with low-rank and sparsity constraints.

    Bo Zhao;Wenmiao Lu;T. Kevin Hitchens;Fan Lam

  • Near-field heat transfer between graphene/hBN multilayers

    Bo Zhao;Bo Zhao;Brahim Guizal;Zhuomin M. Zhang;Shanhui Fan

  • Image Generation From Layout

    Bo Zhao;Lili Meng;Weidong Yin;Leonid Sigal

  • Improved magnetic resonance fingerprinting reconstruction with low-rank and subspace modeling.

    Bo Zhao;Kawin Setsompop;Kawin Setsompop;Elfar Adalsteinsson;Borjan Gagoski;Borjan Gagoski

  • Multi-View Image Generation from a Single-View

    Bo Zhao;Xiao Wu;Zhi-Qi Cheng;Hao Liu

  • Study of magnetic polaritons in deep gratings for thermal emission control

    Bo Zhao;Zhuomin M. Zhang

  • Near-complete violation of Kirchhoff's law of thermal radiation with a 0.3 T magnetic field.

    Bo Zhao;Yu Shi;Jiahui Wang;Zhexin Zhao

  • Strong Plasmonic Coupling between Graphene Ribbon Array and Metal Gratings

    Bo Zhao;Zhuomin M. Zhang

  • High-performance near-field thermophotovoltaics for waste heat recovery

    Bo Zhao;Kaifeng Chen;Siddharth Buddhiraju;Gaurang Bhatt

  • Low rank matrix recovery for real-time cardiac MRI

    Bo Zhao;Justin P. Haldar;Cornelius Brinegar;Zhi-Pei Liang

  • Neural Person Search Machines

    Hao Liu;Jiashi Feng;Zequn Jie;Karlekar Jayashree

  • EIN2 mediates direct regulation of histone acetylation in the ethylene response.

    Fan Zhang;Likai Wang;Bin Qi;Bo Zhao

  • Reaching the Ultimate Efficiency of Solar Energy Harvesting with a Nonreciprocal Multijunction Solar Cell

    Unknown

  • Maximum Likelihood Reconstruction for Magnetic Resonance Fingerprinting

    Bo Zhao;Kawin Setsompop;Huihui Ye;Stephen F. Cauley

  • EIN2-dependent regulation of acetylation of histone H3K14 and non-canonical histone H3K23 in ethylene signalling

    Fan Zhang;Bin Qi;Bin Qi;Likai Wang;Bo Zhao

  • Near-field radiative heat transfer between doped-Si parallel plates separated by a spacing down to 200 nm

    Jesse I. Watjen;Bo Zhao;Zhuomin M. Zhang

  • Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search

    Bo Zhao;Jiashi Feng;Xiao Wu;Shuicheng Yan

Frequent Co-Authors

Shanhui Fan
Shanhui Fan Stanford University
Zhuomin M. Zhang
Zhuomin M. Zhang Georgia Institute of Technology
Zhi-Pei Liang
Zhi-Pei Liang University of Illinois at Urbana-Champaign
Lawrence L. Wald
Lawrence L. Wald Harvard University
Kawin Setsompop
Kawin Setsompop Stanford University
Leonid Sigal
Leonid Sigal University of British Columbia
Jiashi Feng
Jiashi Feng ByteDance
Zequn Jie
Zequn Jie Tencent (China)
Justin P. Haldar
Justin P. Haldar University of Southern California
Shuicheng Yan
Shuicheng Yan National University of Singapore

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