World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
10430
World Ranking
4774
National Ranking
931

Overview

Chengyu Liu is affiliated with Southeast University in China and primarily works in the field of Medicine, with a strong focus on subfields such as Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Artificial Intelligence, and Pulmonary and Respiratory Medicine.

The scientist's recent notable publications demonstrate a focus on biomedical signal processing and health monitoring technologies. Key papers include:

  • "An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG," 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020," 2020, Physiological Measurement
  • "Sulfur-doped g-C3N4 nanosheets for photocatalysis: Z-scheme water splitting and decreased biofouling," 2020, Journal of Colloid and Interface Science
  • "Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "An Explainable Artificial Intelligence Predictor for Early Detection of Sepsis," 2020, Critical Care Medicine

The scientist frequently collaborates with other researchers in the field. Frequent co-authors include:

  • Jianqing Li (collaborations counted as 68 and 26 in separate records)
  • Chenxi Yang
  • Caiyun Ma
  • Zhipeng Cai

Liu's work appears regularly in several publication venues, with the most frequent being:

  • IEEE Transactions on Instrumentation and Measurement
  • arXiv (Cornell University)
  • Physiological Measurement
  • Frontiers in Physiology
  • IEEE Journal of Biomedical and Health Informatics

The main research topics covered in Liu's publications highlight expertise particularly in cardiovascular and neurological monitoring techniques and signal interpretation:

  • ECG Monitoring and Analysis
  • EEG and Brain-Computer Interfaces
  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • Cardiac electrophysiology and arrhythmias
  • Phonocardiography and Auscultation Techniques
  • Atrial Fibrillation Management and Outcomes

Chengyu Liu's research integrates aspects of artificial intelligence applied to medical diagnostics and monitoring. The scientist's work on explainable AI for early sepsis detection and deep learning for EEG classification exemplifies this interdisciplinary approach.

Best Publications

  • AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017

    Gari D Clifford;Chengyu Liu;Benjamin Moody;Li-wei H. Lehman

  • An open access database for the evaluation of heart sound algorithms.

    Chengyu Liu;David Springer;Qiao Li;Benjamin Moody

  • An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG

    Emadeldeen Eldele;Zhenghua Chen;Chengyu Liu;Min Wu

  • An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection

    Eddie Yin Kwee Ng;Feifei Liu;Chengyu Liu;Lina Zhao

  • Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.

    Erick A Perez Alday;Annie Gu;Amit J Shah;Chad Robichaux

  • An open source benchmarked toolbox for cardiovascular waveform and interval analysis.

    Adriana N Vest;Giulia Da Poian;Qiao Li;Chengyu Liu

  • Assessing the complexity of short-term heartbeat interval series by distribution entropy

    Peng Li;Chengyu Liu;Chengyu Liu;Ke Li;Dingchang Zheng

  • Classification of normal/abnormal heart sound recordings: The PhysioNet/Computing in Cardiology Challenge 2016

    Gari D. Clifford;Chengyu Liu;Benjamin Moody;David Springer

  • Signal Quality Assessment and Lightweight QRS Detection for Wearable ECG SmartVest System

    Chengyu Liu;Xiangyu Zhang;Lina Zhao;Feifei Liu

  • Noncovalent Immobilization of a Pyrene-Modified Cobalt Corrole on Carbon Supports for Enhanced Electrocatalytic Oxygen Reduction and Oxygen Evolution in Aqueous Solutions

    Haitao Lei;Chengyu Liu;Zhaojun Wang;Zongyao Zhang

  • Analysis of heart rate variability using fuzzy measure entropy

    Chengyu Liu;Ke Li;Lina Zhao;Feng Liu

  • Improving K-means clustering with enhanced Firefly Algorithms

    Hailun Xie;Li Zhang;Chee Peng Lim;Yonghong Yu

  • Sulfur-doped g-C3N4 nanosheets for photocatalysis: Z-scheme water splitting and decreased biofouling

    Unknown

  • Comparison of different threshold values r for approximate entropy: application to investigate the heart rate variability between heart failure and healthy control groups

    Chengyu Liu;Changchun Liu;Peng Shao;Liping Li

  • Recent advances in heart sound analysis.

    Gari D Clifford;Chengyu Liu;Benjamin Moody;Jose Millet

  • An Explainable Artificial Intelligence Predictor for Early Detection of Sepsis.

    Meicheng Yang;Chengyu Liu;Xingyao Wang;Yuwen Li

  • Performance Analysis of Ten Common QRS Detectors on Different ECG Application Cases

    Feifei Liu;Chengyu Liu;Xinge Jiang;Zhimin Zhang

  • Combining sparse coding and time-domain features for heart sound classification

    Bradley M Whitaker;Pradyumna B Suresha;Chengyu Liu;Gari D Clifford;Gari D Clifford

  • Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification

    Qin Qin;Jianqing Li;Li Zhang;Yinggao Yue

  • A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm

    Diptangshu Pandit;Li Zhang;Chengyu Liu;Samiran Chattopadhyay

  • Determination of Sample Entropy and Fuzzy Measure Entropy Parameters for Distinguishing Congestive Heart Failure from Normal Sinus Rhythm Subjects

    Lina Zhao;Shoushui Wei;Chengqiu Zhang;Yatao Zhang

  • Modeling carotid and radial artery pulse pressure waveforms by curve fitting with Gaussian functions

    Chengyu Liu;Dingchang Zheng;Alan Murray;Changchun Liu

  • An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm.

    Qin Qin;Jianqing Li;Yinggao Yue;Chengyu Liu

  • Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram

    Qiao Li;Qichen Li;Chengyu Liu;Supreeth P Shashikumar

  • Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

    Erick Andres Perez Alday;Annie Gu;Amit Shah;Chad Robichaux

Frequent Co-Authors

Gari D. Clifford
Gari D. Clifford Emory University
Wei Zheng
Wei Zheng National Institutes of Health
Elizabeth Murphy
Elizabeth Murphy National Institutes of Health
Lothar Hennighausen
Lothar Hennighausen National Institutes of Health
Toren Finkel
Toren Finkel University of Pittsburgh
Feng Liu
Feng Liu University of Queensland
Robert S. Adelstein
Robert S. Adelstein National Institutes of Health
Kai Ge
Kai Ge National Institutes of Health
Rodney L. Levine
Rodney L. Levine National Institutes of Health
David R. Liu
David R. Liu Broad Institute

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