World's Best Scientists 2026 revealed!
Hyo Seon Park

Hyo Seon Park

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
8487
World Ranking
4128
National Ranking
97

Hyo Seon Park 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 Hyo Seon Park 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: 224 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Hyo Seon Park 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 Hyo Seon Park 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: 50 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Hyo Seon Park is affiliated with Yonsei University in South Korea and has a primary focus in the field of engineering. Their research spans multiple subfields, including civil and structural engineering, building and construction, speech and hearing, biomedical engineering, and mechanics of materials. The scientist has contributed extensively to areas related to structural health monitoring and infrastructure maintenance.

The main topics covered in their research include:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Noise Effects and Management
  • Sustainable Building Design and Assessment
  • Acoustic Wave Phenomena Research
  • Concrete Corrosion and Durability
  • Ultrasonics and Acoustic Wave Propagation

Hyo Seon Park has published numerous papers in various well-known venues. Frequent publication outlets include:

  • Automation in Construction
  • Journal of Building Engineering
  • SSRN Electronic Journal
  • Computer-Aided Civil and Infrastructure Engineering
  • Structural Control and Health Monitoring

Their recent research publications include:

  • Seismic response prediction method for building structures using convolutional neural network, 2020, Structural Control and Health Monitoring
  • Convolutional neural network-based data recovery method for structural health monitoring, 2020, Structural Health Monitoring
  • An integrated psychological score for occupants based on their perception and emotional response according to the windows' outdoor view size, 2020, Building and Environment
  • Development of a real-time automated monitoring system for managing the hazardous environmental pollutants at the construction site, 2020, Journal of Hazardous Materials
  • Quantitative health impact assessment of construction noise exposure on the nearby region for noise barrier optimization, 2020, Building and Environment

The scientist has collaborated frequently with several coauthors, including:

  • Taehoon Hong
  • Dong-Eun Lee
  • Byung Kwan Oh
  • Jewoo Choi
  • Da Yo Yun

Best Publications

  • A New Approach for Health Monitoring of Structures: Terrestrial Laser Scanning

    H. S. Park;H. M. Lee;Hojjat Adeli;I. Lee

  • 3D displacement measurement model for health monitoring of structures using a motion capture system

    S.W. Park;H.S. Hyo Seon Park;J.H. Kim;Hojjat Adeli

  • Adaptive natural gradient learning algorithms for various stochastic models

    H. Park;S.-I. Amari;K. Fukumizu

  • A neural dynamics model for structural optimization—Theory

    H. Adeli;Hyo Seon Park

  • Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings

    Byung Kwan Oh;Kyu Jin Kim;Yousok Kim;Hyo Seon Park

  • Distributed neural dynamics algorithms for optimization of large steel structures

    Hyo Seon Park;Hojjat Adeli

  • Optimization of space structures by neural dynamics

    Hojjat Adeli;Hyo Seon Park

  • A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform

    Juan P. Amezquita-Sanchez;Hyo Seon Park;Hojjat Adeli

  • COUNTERPROPAGATION NEURAL NETWORKS IN STRUCTURAL ENGINEERING

    Hojjat Adeli;Hyo Seon Park

  • New method for modal identification of super high‐rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms

    Zhijun Li;Hyo Seon Park;Hojjat Adeli

  • Assessment Model for Energy Consumption and Greenhouse Gas Emissions during Building Construction

    Taehoon Hong;ChangYoon Ji;MinHo Jang;HyoSeon Park

  • Seismic response prediction method for building structures using convolutional neural network

    Byung Kwan Oh;Byung Kwan Oh;Youngjun Park;Hyo Seon Park

  • Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques

    Hyo Seon Park;Minhyun Lee;Hyuna Kang;Taehoon Hong

  • Convolutional neural network–based data recovery method for structural health monitoring

    Byung Kwan Oh;Byung Kwan Oh;Branko Glisic;Yousok Kim;Hyo Seon Park

  • A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system

    Taehoon Hong;Choongwan Koo;Joonho Park;Hyo Seon Park

  • Cost and CO2 Emission Optimization of Steel Reinforced Concrete Columns in High-Rise Buildings

    Hyo Seon Park;Bongkeun Kwon;Yunah Shin;Yousok Kim

  • Neural network-based seismic response prediction model for building structures using artificial earthquakes

    Byung Kwan Oh;Byung Kwan Oh;Branko Glisic;Sang Wook Park;Hyo Seon Park

  • Convolutional neural network‐based wind‐induced response estimation model for tall buildings

    Byung Kwan Oh;Branko Glisic;Yousok Kim;Hyo Seon Park

  • Optimum design of cold-formed steel channel beams using micro Genetic Algorithm

    Jaehong Lee;Sun Myung Kim;Hyo Seon Park;Byung Hun Woo

  • Application of GPS to monitoring of wind-induced responses of high-rise buildings

    Hyo Seon Park;Hong Gyoo Sohn;Ill Soo Kim;Jae Hwan Park

  • Integrated model for assessing the cost and CO2 emission (IMACC) for sustainable structural design in ready-mix concrete

    Taehoon Hong;Changyoon Ji;Hyoseon Park

  • Development of a new energy efficiency rating system for existing residential buildings

    Choongwan Koo;Taehoon Hong;Minhyun Lee;Hyo Seon Park

  • An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method

    Choongwan Koo;Sungki Park;Taehoon Hong;Hyo Seon Park

  • A neural dynamics model for structural optimization—Application to plastic design of structures

    Hyo Seon Park;H. Adeli

Frequent Co-Authors

Taehoon Hong
Taehoon Hong Yonsei University
Choongwan Koo
Choongwan Koo Incheon National University
Hojjat Adeli
Hojjat Adeli The Ohio State University
Branko Glisic
Branko Glisic Princeton University
Kam Tim Tse
Kam Tim Tse Hong Kong University of Science and Technology
Jaehong Lee
Jaehong Lee Sejong University
Minhyun Lee
Minhyun Lee Hong Kong Polytechnic University
Jeonghun Kim
Jeonghun Kim Yonsei University
Hyun-Joong Kim
Hyun-Joong Kim Seoul National University
Eunkyoung Kim
Eunkyoung Kim Yonsei University

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