World's Best Scientists 2026 revealed!

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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