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Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
106
Citations
38949
World Ranking
106
National Ranking
43

Lei Xing 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 Lei Xing 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: 1,220 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Lei Xing 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 Lei Xing 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: 106 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award

Overview

Lei Xing is affiliated with Stanford University in the United States and has a research focus centered primarily within the field of Medicine. Their work notably spans several subfields including Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Pulmonary and Respiratory Medicine, and Computer Vision and Pattern Recognition.

Their recent scholarly output features papers on advanced methods in medical image segmentation and healthcare machine learning. Notable publications include:

  • TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers (2024), published in Medical Image Analysis
  • Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • Shifting machine learning for healthcare from development to deployment and from models to data (2022), published in Nature Biomedical Engineering
  • NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction (2022), published in IEEE Transactions on Neural Networks and Learning Systems
  • Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis (2020), published in IEEE Transactions on Medical Imaging

Their research topics cover a broad range of areas related to medical technology and imaging, including:

  • Advanced Radiotherapy Techniques
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced X-ray and CT Imaging
  • Radiation Therapy and Dosimetry
  • AI in cancer detection
  • Advanced Neural Network Applications

Lei Xing has collaborated extensively with several frequent co-authors, including Lequan Yu, Md Tauhidul Islam, Wei Zhao, Bin Han, and Yong Yang, indicating active participation in multidisciplinary research teams.

Their publication venues demonstrate a consistent presence in fields related to medical imaging and radiation, with contributions to:

  • arXiv (Cornell University)
  • International Journal of Radiation Oncology*Biology*Physics
  • Medical Physics
  • Physics in Medicine and Biology
  • SSRN Electronic Journal

Lei Xing has also authored book publications with recognized academic publishers, including Springer Science+Business Media and Frontiers Media. Titles include Applications of Medical Artificial Intelligence (2023) and Application of Radiomics in Understanding Tumor Biological Behaviors and Treatment Response (2023).

Best Publications

  • Overview of image-guided radiation therapy.

    Lei Xing;Brian Thorndyke;Eduard Schreibmann;Yong Yang

  • Coexisting Single-Atomic Fe and Ni Sites on Hierarchically Ordered Porous Carbon as a Highly Efficient ORR Electrocatalyst

    Zhengju Zhu;Zhengju Zhu;Huajie Yin;Yun Wang;Cheng-Hao Chuang

  • Deep Generative Adversarial Neural Networks for Compressive Sensing MRI

    Morteza Mardani;Enhao Gong;Joseph Y. Cheng;Shreyas S. Vasanawala

  • Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks

    Bulat Ibragimov;Lei Xing

  • Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

    Xiaomeng Li;Lequan Yu;Hao Chen;Chi-Wing Fu

  • Applications of π-π stacking interactions in the design of drug-delivery systems

    Wan-Ru Zhuang;Yi Wang;Peng-Fei Cui;Lei Xing

  • Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

    Hyunseok Seo;Charles Huang;Maxime Bassenne;Ruoxiu Xiao

  • Transferring Biomarker into Molecular Probe: Melanin Nanoparticle as a Naturally Active Platform for Multimodality Imaging

    Quli Fan;Kai Cheng;Xiang Hu;Xiaowei Ma

  • GPU computing in medical physics: a review.

    Guillem Pratx;Lei Xing

  • Effective anti-thrombotic therapy without stenting: intravascular optical coherence tomography-based management in plaque erosion (the EROSION study)

    Haibo Jia;Jiannan Dai;Jingbo Hou;Lei Xing

  • Compressed sensing based cone-beam computed tomography reconstruction with a first-order method.

    Kihwan Choi;Jing Wang;Lei Zhu;Tae Suk Suh

  • Critical fluctuations in the thermodynamics of quasi-two-dimensional type-II supeconductors.

    Zlatko Tesanovic;Lei Xing;Lev Bulaevskii;Qiang Li

  • Fenton reaction-independent ferroptosis therapy via glutathione and iron redox couple sequentially triggered lipid peroxide generator.

    Yu-Jing He;Xiao-Ying Liu;Lei Xing;Xing Wan

  • Nonculprit plaques in patients with acute coronary syndromes have more vulnerable features compared with those with non-acute coronary syndromes: a 3-vessel optical coherence tomography study.

    Koji Kato;Taishi Yonetsu;Soo-Joong Kim;Lei Xing

  • Fully automated quantitative cephalometry using convolutional neural networks.

    Sercan Ö. Arik;Bulat Ibragimov;Lei Xing

  • A two-phase flow and non-isothermal agglomerate model for a proton exchange membrane (PEM) fuel cell

    Lei Xing;Lei Xing;Xiaoteng Liu;Taiwo Alaje;Ravi Kumar

  • Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning

    Liyue Shen;Wei Zhao;Lei Xing

  • Novel benzo-bis(1,2,5-thiadiazole) fluorophores for in vivo NIR-II imaging of cancer.

    Yao Sun;Yao Sun;Chunrong Qu;Hao Chen;Maomao He

  • Distinct morphological features of ruptured culprit plaque for acute coronary events compared to those with silent rupture and thin-cap fibroatheroma: a combined optical coherence tomography and intravascular ultrasound study.

    Jinwei Tian;Xuefeng Ren;Rocco Vergallo;Lei Xing

  • Synergistic Assembly of Heavy Metal Clusters and Luminescent Organic Bridging Ligands in Metal–Organic Frameworks for Highly Efficient X-ray Scintillation

    Cheng Wang;Olga Volotskova;Kuangda Lu;Moiz Ahmad

  • Coordination Polymer Coated Mesoporous Silica Nanoparticles for pH‐Responsive Drug Release

    Lei Xing;Haoquan Zheng;Yuanyuan Cao;Shunai Che

  • Model-based image reconstruction for four-dimensional PET

    Tianfang Li;Brian Thorndyke;Eduard Schreibmann;Yong Yang

  • Four-dimensional cone-beam computed tomography using an on-board imager.

    Tianfang Li;Lei Xing;Peter Munro;Christopher McGuinness

Frequent Co-Authors

Ik-Kyung Jang
Ik-Kyung Jang Massachusetts General Hospital
Yaoqin Xie
Yaoqin Xie Chinese Academy of Sciences
Albert C. Koong
Albert C. Koong The University of Texas MD Anderson Cancer Center
Hang Lee
Hang Lee Harvard University
Quynh-Thu Le
Quynh-Thu Le Stanford University
Zhen Cheng
Zhen Cheng Stanford University
Stephen Boyd
Stephen Boyd Stanford University
Rebecca Fahrig
Rebecca Fahrig Siemens Healthcare (United States)
Qing-Hua Xu
Qing-Hua Xu National University of Singapore
James Z. Wang
James Z. Wang Pennsylvania State University

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