World's Best Scientists 2026 revealed!

Zhenyu Liu 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 Zhenyu Liu 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+

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

Zhenyu Liu 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 Zhenyu Liu 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+

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

Overview

Zhenyu Liu is affiliated with Tsinghua University in China and has contributed extensively to the fields of Medicine and Engineering, with a particular focus on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Surgery, and Biomedical Engineering.

Their research covers several main topics, including:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Advanced X-ray and CT Imaging
  • Colorectal Cancer Surgical Treatments
  • Topology Optimization in Engineering
  • Colorectal Cancer Screening and Detection
  • MRI in cancer diagnosis

Notable recent papers featuring Zhenyu Liu include:

  • "Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer", 2020, Nature Communications
  • "The Role of Imaging in the Detection and Management of COVID-19: A Review", 2020, IEEE Reviews in Biomedical Engineering (authored by Di Dong)
  • "Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study", 2021, The Lancet Digital Health (authored by Lili Feng)
  • "Coupling of N7-methyltransferase and 3'-5' exoribonuclease with SARS-CoV-2 polymerase reveals mechanisms for capping and proofreading", 2021, Cell (authored by Liming Yan)
  • "Spin mapping of intralayer antiferromagnetism and field-induced spin reorientation in monolayer CrTe2", 2022, Nature Communications (authored by Jing-Jing Xian)

Zhenyu Liu frequently collaborates with other researchers, with prominent coauthors including:

  • Jie Tian (54 collaborations)
  • Lizhi Shao (24 collaborations)
  • Kai Sun (19 collaborations)
  • Caixia Sun (13 collaborations)
  • Jiangang Liu (12 collaborations)

Their work is regularly published in venues such as:

  • arXiv (Cornell University) with 17 publications
  • SSRN Electronic Journal with 11 publications
  • Endoscopy with 7 publications
  • Frontiers in Oncology with 5 publications
  • EBioMedicine with 4 publications

Best Publications

  • Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

    Shuo Wang;Mu Zhou;Zaiyi Liu;Zhenyu Liu

  • Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

    Shuo Wang;Jingyun Shi;Zhaoxiang Ye;Di Dong

  • The Role of Imaging in the Detection and Management of COVID-19: A Review

    Di Dong;Zhenchao Tang;Shuo Wang;Hui Hui

  • CU Partition Mode Decision for HEVC Hardwired Intra Encoder Using Convolution Neural Network

    Zhenyu Liu;Xianyu Yu;Yuan Gao;Shaolin Chen

  • Effects of Cr, Ni and Cu on the Corrosion Behavior of Low Carbon Microalloying Steel in a Cl- Containing Environment

    Yanlei Zhou;Jun Chen;Yang Xu;Zhenyu Liu

  • High-Performance FPGA-Based CNN Accelerator With Block-Floating-Point Arithmetic

    Xiaocong Lian;Zhenyu Liu;Zhourui Song;Jiwu Dai

  • Acupuncture modulates temporal neural responses in wide brain networks: evidence from fMRI study

    Lijun Bai;Jie Tian;Jie Tian;Chongguang Zhong;Ting Xue

  • Altered topological patterns of brain networks in mild cognitive impairment and Alzheimer's disease: A resting-state fMRI study

    Zhenyu Liu;Yumei Zhang;Hao Yan;Hao Yan;Lijun Bai

  • Solidification structure and crystallographic texture of strip casting 3wt.% Si non-oriented silicon steel

    Haitao Liu;Zhenyu Liu;Chenggang Li;Guangming Cao

  • Influence of cooling paths on microstructural characteristics and precipitation behaviors in a low carbon V–Ti microalloyed steel

    Jun Chen;Meng-yang Lv;Shuai Tang;Zhen-yu Liu

  • Correlation between mechanical properties and retained austenite characteristics in a low-carbon medium manganese alloyed steel plate

    Jun Chen;Mengyang Lv;Shuai Tang;Zhenyu Liu

  • A multi-view deep convolutional neural networks for lung nodule segmentation

    Shuo Wang;Mu Zhou;Olivier Gevaert;Zhenchao Tang

  • Development of λ-fiber recrystallization texture and magnetic property in Fe–6.5 wt% Si thin sheet produced by strip casting and warm rolling method

    Hai-Tao Liu;Zhen-Yu Liu;Yu Sun;Fei Gao

  • Characterization of microstructure, texture and magnetic properties in twin-roll casting high silicon non-oriented electrical steel

    Hao-Ze Li;Hai-Tao Liu;Zhen-Yu Liu;Hui-Hu Lu

  • Microstructural characteristics with various cooling paths and the mechanism of embrittlement and toughening in low-carbon high performance bridge steel

    Jun Chen;Shuai Tang;Zhen-Yu Liu;Guo-Dong Wang

  • HDTV1080p H.264/AVC Encoder Chip Design and Performance Analysis

    Zhenyu Liu;Yang Song;Ming Shao;Shen Li

  • Investigation on tempering of granular bainite in an offshore platform steel

    Yanlei Zhou;Tao Jia;Xiangjun Zhang;Zhenyu Liu

  • Formation of {001} recrystallization texture and magnetic property in strip casting non-oriented electrical steel

    Hai-Tao Liu;Zhen-Yu Liu;Yu Sun;Yi-Qing Qiu

  • Combination of ductility and toughness by the design of fine ferrite/tempered martensite–austenite microstructure in a low carbon medium manganese alloyed steel plate

    Jun Chen;Meng-yang Lv;Zhen-yu Liu;Guo-dong Wang

  • Fabrication of high permeability non-oriented electrical steels by increasing 〈0 0 1〉 recrystallization texture using compacted strip casting processes

    Hai-Tao Liu;J. Schneider;Hua-Long Li;Yu Sun

Frequent Co-Authors

Jie Tian
Jie Tian Chinese Academy of Sciences
Guodong Wang
Guodong Wang Northeastern University
Shuo Wang
Shuo Wang Nankai University
Wei Gao
Wei Gao University of Auckland
Raja Devesh Kumar Misra
Raja Devesh Kumar Misra The University of Texas at El Paso
Yijun Liu
Yijun Liu University of Florida
B.L. Xiao
B.L. Xiao Chinese Academy of Sciences
Tao Xu
Tao Xu Chinese Academy of Sciences
Yuan Gao
Yuan Gao Northeastern University
Hairong Zheng
Hairong Zheng Chinese Academy of Sciences

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