World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
13229
World Ranking
2479
National Ranking
45

Byeng D. Youn 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 Byeng D. Youn 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: 341 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Byeng D. Youn 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 Byeng D. Youn 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Byeng D. Youn is a researcher affiliated with Seoul National University in South Korea, focusing on engineering disciplines, with a total of 276 publications in this main field. Their work primarily spans several subfields within engineering, including Mechanical Engineering, Control and Systems Engineering, Mechanics of Materials, Biomedical Engineering, and Civil and Structural Engineering.

Their research topics cover areas related to machine fault diagnosis, gear and bearing dynamics, acoustic wave phenomena, fault detection and control systems, ultrasonic and acoustic wave propagation, structural health monitoring, and probabilistic and robust engineering design.

Frequent publication venues for Byeng D. Youn include:

  • International Journal of Mechanical Sciences
  • Structural and Multidisciplinary Optimization
  • Journal of Computational Design and Engineering
  • Expert Systems with Applications
  • Reliability Engineering & System Safety

They have collaborated extensively with several co-authors, the most frequent being:

  • Heonjun Yoon (29 papers)
  • Soo-Ho Jo (27 papers)
  • Jin Uk Ko (13 papers)
  • Jong Moon Ha (12 papers)
  • Jinoh Yoo (11 papers)

Among their recent publications are:

  • A comprehensive review of digital twin - part 1: modeling and twinning enabling technologies (2022), published in Structural and Multidisciplinary Optimization
  • Designing a phononic crystal with a defect for energy localization and harvesting: Supercell size and defect location (2020), published in International Journal of Mechanical Sciences
  • A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives (2022), published in Structural and Multidisciplinary Optimization
  • Enhanced energy transfer and conversion for high performance phononic crystal-assisted elastic wave energy harvesting (2020), published in Nano Energy
  • A graded phononic crystal with decoupled double defects for broadband energy localization (2020), published in International Journal of Mechanical Sciences

Best Publications

  • A Multiscale Framework with Extended Kalman Filter for Lithium-Ion Battery SOC and Capacity Estimation

    Chao Hu;Byeng D. Youn;Jaesik Chung

  • Hybrid Analysis Method for Reliability-Based Design Optimization

    Byeng D. Youn;Kyung K. Choi;Young H. Park;Young H. Park

  • Physics-of-Failure, Condition Monitoring, and Prognostics of Insulated Gate Bipolar Transistor Modules: A Review

    Hyunseok Oh;Bongtae Han;Patrick McCluskey;Changwoon Han

  • A new response surface methodology for reliability-based design optimization

    Byeng D. Youn;Kyung K. Choi

  • Reliability-based design optimization for crashworthiness of vehicle side impact

    B. D. Youn;K. K. Choi;R. J. Yang;L. Gu

  • Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

    Chao Hu;Byeng D. Youn;Pingfeng Wang

  • Enriched Performance Measure Approach for Reliability-Based Design Optimization.

    Byeng D. Youn;Kyung K. Choi;Liu Du

  • A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies

    Unknown

  • Selecting Probabilistic Approaches for Reliability-Based Design Optimization

    Byeng D. Youn;Kyung K. Choi

  • Resilience-Driven System Design of Complex Engineered Systems

    Byeng D. Youn;Chao Hu;Pingfeng Wang

  • Adaptive probability analysis using an enhanced hybrid mean value method

    B.D. Youn;K.K. Choi;L. Du

  • Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems

    Chao Hu;Byeng D. Youn

  • A generic probabilistic framework for structural health prognostics and uncertainty management

    Pingfeng Wang;Byeng D. Youn;Chao Hu

  • Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis

    Byeng D. Youn;Zhimin Xi;Pingfeng Wang

  • An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches

    Kyung K. Choi;Byeng D. Youn

  • A comprehensive survey on topology optimization of phononic crystals

    Guilian Yi;Byeng D. Youn

  • A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

    Unknown

  • Performance Moment Integration (PMI) Method for Quality Assessment in Reliability-Based Robust Design Optimization

    Byeng D. Youn;Kyung K. Choi;Kiyoung Yi

  • A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning

    Moussa Hamadache;Joon Ha Jung;Jungho Park;Byeng D. Youn

  • Robust segment-type energy harvester and its application to a wireless sensor

    Soobum Lee;Byeng D Youn;Byung C Jung

  • Bayesian reliability-based design optimization using eigenvector dimension reduction (EDR) method

    Byeng D. Youn;Pingfeng Wang

  • Variation Propagation Analysis on Compliant Assemblies Considering Contact Interaction

    Kang Xie;Lee Wells;Jaime A. Camelio;Byeng D. Youn

  • A Multiscale Framework with Extended Kalman Filter for Lithium-Ion Battery SOC and Capacity Estimation

    Chao Hu;Byeng Dong Youn;Jae Sik Chung;Randy Ortanez

Frequent Co-Authors

Chao Hu
Chao Hu Iowa State University
Kyung K. Choi
Kyung K. Choi University of Iowa
Heung Soo Kim
Heung Soo Kim Dongguk University
Bongtae Han
Bongtae Han University of Maryland, College Park
Nam H. Kim
Nam H. Kim University of Florida
Yoon Young Kim
Yoon Young Kim Seoul National University
Raphael T. Haftka
Raphael T. Haftka University of Florida
Michael Pecht
Michael Pecht University of Maryland, College Park
Sung-Hoon Ahn
Sung-Hoon Ahn Seoul National University
Panos Y. Papalambros
Panos Y. Papalambros University of Michigan–Ann Arbor

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