World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
10430
World Ranking
4776
National Ranking
929

Chengyu 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 Chengyu 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+

This scientist: 334 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Chengyu 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 Chengyu 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+

This scientist: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

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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