World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
12453
World Ranking
8854
National Ranking
2460

Sungbok Lee 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 Sungbok Lee 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: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Sungbok Lee 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 Sungbok Lee 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Sungbok Lee is affiliated with the University of Southern California in the United States. Their research spans several interdisciplinary fields, notably Experimental and Cognitive Psychology, Aerospace Engineering, Signal Processing, and Computational Mechanics.

Their main topics of study cover diverse areas including Emotion and Mood Recognition, Phonetics and Phonology Research, Speech and Audio Processing, Electromagnetic Launch and Propulsion Technology, Spacecraft and Cryogenic Technologies, as well as Fluid Dynamics Simulations and Interactions.

Sungbok Lee has contributed to multiple publication venues, reflecting the diversity of their research interests. These venues include:

  • Journal of Financial Consumers
  • Computer Speech & Language
  • Japanese Geotechnical Society Special Publication
  • Society of Occupational Therapy for the Aged and Dementia
  • SSRN Electronic Journal

Among their recent papers are the following:

  • "Vocal tract shaping of emotional speech," 2020, published in Computer Speech & Language
  • "Performance Validation of Equivalent Shear Beam Model Container for Dynamic Centrifuge Tests," 2024, published in Japanese Geotechnical Society Special Publication
  • "The Relationship between Lower Extremity Function and Balance Ability of Community Care Service Subjects," 2020, published in Society of Occupational Therapy for the Aged and Dementia
  • "Lessons from the 2020 Hedge Funds Scandal in Korea and Ways for Financial Consumer Protection," 2020, published in Journal of Financial Consumers
  • "Analysis on Robo-Advisor Performance in Korea," 2023, published in SSRN Electronic Journal

Sungbok Lee's frequent collaborators include:

  • Jangwon Kim
  • Asterios Toutios
  • Shrikanth Narayanan
  • Dong-Hyeong Choi
  • Kil-Wan Ko

Best Publications

  • IEMOCAP: interactive emotional dyadic motion capture database

    Carlos Busso;Murtaza Bulut;Chi Chun Lee;Abe Kazemzadeh

  • Analysis of emotion recognition using facial expressions, speech and multimodal information

    Carlos Busso;Zhigang Deng;Serdar Yildirim;Murtaza Bulut

  • Acoustics of children's speech: developmental changes of temporal and spectral parameters.

    Sungbok Lee;Alexandros Potamianos;Shrikanth Narayanan

  • Emotion recognition using a hierarchical binary decision tree approach

    Chi-Chun Lee;Emily Mower;Carlos Busso;Sungbok Lee

  • Emotion recognition using a hierarchical binary decision tree approach

    Chi-Chun Lee;Emily Mower;Carlos Busso;Sungbok Lee

  • An approach to real-time magnetic resonance imaging for speech production.

    Shrikanth Narayanan;Krishna Nayak;Sungbok Lee;Abhinav Sethy

  • Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection

    C. Busso;Sungbok Lee;S. Narayanan

  • Emotion recognition based on phoneme classes

    Chul Min Lee;Serdar Yildirim;Murtaza Bulut;Abe Kazemzadeh

  • An acoustic study of emotions expressed in speech

    Serdar Yildirim;Murtaza Bulut;Chul Min Lee;Abe Kazemzadeh

  • How far, how long: On the temporal scope of prosodic boundary effects

    Dani Byrd;Jelena Krivokapić;Sungbok Lee

  • Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC)

    Shrikanth Narayanan;Asterios Toutios;Vikram Ramanarayanan;Adam Lammert

  • Interpreting ambiguous emotional expressions

    Emily Mower;Angeliki Metallinou;Chi-Chun Lee;Abe Kazemzadeh

  • AN ARTICULATORY STUDY OF EMOTIONAL SPEECH PRODUCTION

    Sungbok Lee;Serdar Yildirim;Abe Kazemzadeh;Shrikanth S. Narayanan

  • The psychologist as an interlocutor in autism spectrum disorder assessment: insights from a study of spontaneous prosody.

    Daniel Bone;Chi-Chun Lee;Matthew P. Black;Marian E. Williams

  • Automatic speech recognition for children.

    Alexandros Potamianos;Shrikanth S. Narayanan;Sungbok Lee

  • DARPA communicator dialog travel planning systems: the june 2000 data collection.

    Marilyn A. Walker;John S. Aberdeen;Julie E. Boland;Elizabeth Owen Bratt

  • The AT&t-DARPA communicator mixed-initiative spoken dialog system.

    Esther Levin;Shrikanth S. Narayanan;Roberto Pieraccini;Konstantin Biatov

  • Real-time Emotion Detection System using Speech: Multi-modal Fusion of Different Timescale Features

    S. Kim;P.G. Georgiou;Sungbok Lee;S. Narayanan

  • Layer Selection by Multi-Level Permutation in 3-D Stacked NAND Flash Memory

    Sang-Ho Lee;Wandong Kim;Dae Woong Kwon;Joo Yun Seo

  • Audio-Visual Emotion Recognition Using Gaussian Mixture Models for Face and Voice

    A. Metallinou;Sungbok Lee;S. Narayanan

  • Using Neutral Speech Models for Emotional Speech Analysis

    Carlos Busso;Sungbok Lee;Shrikanth S. Narayanan

  • Decision level combination of multiple modalities for recognition and analysis of emotional expression

    Angeliki Metallinou;Sungbok Lee;Shrikanth Narayanan

Frequent Co-Authors

Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Dani Byrd
Dani Byrd University of Southern California
Carlos Busso
Carlos Busso The University of Texas at Dallas
Alexandros Potamianos
Alexandros Potamianos National Technical University of Athens
Louis Goldstein
Louis Goldstein University of Southern California
Abeer Alwan
Abeer Alwan University of California, Los Angeles
Panayiotis G. Georgiou
Panayiotis G. Georgiou University of Southern California
Pat Levitt
Pat Levitt University of Southern California
Zhigang Deng
Zhigang Deng University of Houston
Krishna S. Nayak
Krishna S. Nayak University of Southern California

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