World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
59
Citations
11905
World Ranking
2362
National Ranking
735

Ki H. Chon 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 Ki H. Chon 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: 323 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Ki H. Chon 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 Ki H. Chon 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: 59 D-Index — 77th percentile

77% 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

  • 2020 - Fellow, National Academy of Inventors
  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Ki H. Chon is affiliated with the University of Connecticut in the United States. Their research primarily focuses on medicine, with particular emphasis on cardiology and cardiovascular medicine. Their work also spans biomedical engineering, cognitive neuroscience, experimental and cognitive psychology, and physiology.

The scientist's research covers a range of topics, including:

  • Heart Rate Variability and Autonomic Control
  • ECG Monitoring and Analysis
  • Non-Invasive Vital Sign Monitoring
  • EEG and Brain-Computer Interfaces
  • Atrial Fibrillation Management and Outcomes
  • Emotion and Mood Recognition
  • Sleep and Work-Related Fatigue

Ki H. Chon has published extensively in several journals and conference venues. Frequent publication venues include:

  • Sensors (9 publications)
  • arXiv (Cornell University) (8 publications)
  • IEEE Transactions on Biomedical Engineering (7 publications)
  • Computers in Biology and Medicine (7 publications)
  • Cardiovascular Digital Health Journal (6 publications)

Recent notable papers authored or coauthored by Ki H. Chon include:

  • "Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review" (2020), Sensors
  • "Wearable Armband Device for Daily Life Electrocardiogram Monitoring" (2020), IEEE Transactions on Biomedical Engineering
  • "AR and ARMA model order selection for time-series modeling with ImageNet classification" (2021), Signal Processing
  • "Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data" (2020), IEEE Journal of Biomedical and Health Informatics
  • "Novel Density Poincaré Plot Based Machine Learning Method to Detect Atrial Fibrillation From Premature Atrial/Ventricular Contractions" (2020), IEEE Transactions on Biomedical Engineering

The scientist has collaborated frequently with several other researchers, including:

  • Hugo F. Posada-Quintero
  • Youngsun Kong
  • David D. McManus
  • Eric Ding
  • Md-Billal Hossain

Recognition of Ki H. Chon's contributions includes:

  • Fellow, National Academy of Inventors (2020)
  • Fellow of the Indian National Academy of Engineering (INAE) (2015)

Best Publications

  • Physiological Parameter Monitoring from Optical Recordings With a Mobile Phone

    C. G. Scully;Jinseok Lee;J. Meyer;A. M. Gorbach

  • Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review.

    Hugo F. Posada-Quintero;Ki H. Chon

  • Automatic Real Time Detection of Atrial Fibrillation

    S. Dash;K. H. Chon;S. Lu;E. A. Raeder

  • Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information

    Sheng Lu;He Zhao;Kihwan Ju;Kunson Shin

  • A novel application for the detection of an irregular pulse using an iPhone 4S in patients with atrial fibrillation

    David D. McManus;David D. McManus;Jinseok Lee;Oscar Maitas;Nada Esa

  • Atrial Fibrillation Detection Using an iPhone 4S

    Jinseok Lee;B. A. Reyes;D. D. McManus;O. Mathias

  • Estimation of Respiratory Rate From Photoplethysmogram Data Using Time–Frequency Spectral Estimation

    K.H. Chon;S. Dash;Kihwan Ju

  • Automatic Selection of the Threshold Value $r$ for Approximate Entropy

    Sheng Lu;Xinnian Chen;J.K. Kanters;I.C. Solomon

  • Power Spectral Density Analysis of Electrodermal Activity for Sympathetic Function Assessment.

    Hugo F Posada-Quintero;John P Florian;Alvaro D Orjuela-Cañón;Tomas Aljama-Corrales

  • Approximate entropy for all signals

    Ki Chon;C. Scully;Sheng Lu

  • A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor

    Seyed M. A. Salehizadeh;Duy Dao;Jeffrey Bolkhovsky;Chae Ho Cho

  • Automatic Motion and Noise Artifact Detection in Holter ECG Data Using Empirical Mode Decomposition and Statistical Approaches

    Jinseok Lee;D. D. McManus;S. Merchant;K. H. Chon

  • Linear and nonlinear ARMA model parameter estimation using an artificial neural network

    K.H. Chon;R.J. Cohen

  • Screen-Printed PEDOT:PSS Electrodes on Commercial Finished Textiles for Electrocardiography.

    Sneh Sinha;Yeonsik Noh;Natasa Reljin;Gregory Martin Treich

  • A new algorithm for linear and nonlinear ARMA model parameter estimation using affine geometry [and application to blood flow/pressure data]

    Sheng Lu;Ki Hwan Ju;K.H. Chon

  • Comparison of the Use of Approximate Entropy and Sample Entropy: Applications to Neural Respiratory Signal

    Xinnian Chen;I.C. Solomon;K.H. Chon

  • Novel Electrodes for Underwater ECG Monitoring

    Bersain A. Reyes;Hugo F. Posada-Quintero;Justin R. Bales;Amanda L. Clement

  • Estimation of Respiratory Rates Using the Built-in Microphone of a Smartphone or Headset

    Yunyoung Nam;Bersain A. Reyes;Ki H. Chon

  • Monitoring of Heart and Breathing Rates Using Dual Cameras on a Smartphone.

    Yunyoung Nam;Youngsun Kong;Bersain Reyes;Natasa Reljin

  • Statistical approach for the detection of motion/noise artifacts in Photoplethysmogram

    Nandakumar Selvaraj;Yitzhak Mendelson;Kirk H. Shelley;David G. Silverman

  • Time-Varying Coherence Function for Atrial Fibrillation Detection

    Jinseok Lee;Yunyoung Nam;David D. McManus;Ki H. Chon

  • Estimation of Respiratory Rate From ECG, Photoplethysmogram, and Piezoelectric Pulse Transducer Signals: A Comparative Study of Time–Frequency Methods

    Shishir Dash;Kirk H Shelley;David G Silverman;Ki H Chon

Frequent Co-Authors

Yunyoung Nam
Yunyoung Nam Soonchunhyang University
Luca Faes
Luca Faes University of Palermo
Vasilis Z. Marmarelis
Vasilis Z. Marmarelis University of Southern California
Giandomenico Nollo
Giandomenico Nollo University of Trento
Peter R. Brink
Peter R. Brink Stony Brook University
Michael Winter
Michael Winter Boston University
Gregory A. Sotzing
Gregory A. Sotzing University of Connecticut
Jeroan J. Allison
Jeroan J. Allison University of Massachusetts Chan Medical School
Joseph M. Massaro
Joseph M. Massaro Boston University

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