World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
5659
World Ranking
7742
National Ranking
80

Kuo-Chun Chang 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 Kuo-Chun Chang 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: 166 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Kuo-Chun Chang 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 Kuo-Chun Chang 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Kuo-Chun Chang is a researcher affiliated with National Taiwan University in Taiwan. Their research contributions mainly lie in the field of engineering with a specialized focus on civil and structural engineering. Additional subfields of study include building and construction, mechanical engineering, biomedical engineering, and ecology.

The scientist's scholarly output covers a broad spectrum of topics, emphasizing structural health monitoring techniques, concrete corrosion and durability, structural engineering and vibration analysis, structural behavior of reinforced concrete, acoustic wave phenomena research, seismic performance and analysis, and hydrology and sediment transport processes.

Frequently published venues for their work include:

  • Earthquake Engineering & Structural Dynamics
  • Applied Sciences
  • Sensors
  • Institutional Research Information System University of Ferrara (University of Ferrara)
  • Journal of Constructional Steel Research

Kuo-Chun Chang has collaborated with several co-authors over multiple publications. Frequent collaborators are:

  • Tzu-Kang Lin
  • Ping-Hsiung Wang
  • Marco Bonopera
  • Nerio Tullini
  • Rih-Teng Wu

Selected recent papers authored or co-authored by Kuo-Chun Chang include:

  • State-of-the-Art Review on Determining Prestress Losses in Prestressed Concrete Girders, 2020, Applied Sciences
  • The Artificial Intelligence of Things Sensing System of Real-Time Bridge Scour Monitoring for Early Warning during Floods, 2021, Sensors
  • Influence of prestressing on the behavior of uncracked concrete beams with a parabolic bonded tendon, 2021, Institutional Research Information System University of Ferrara (University of Ferrara)
  • Vibration of prestressed beams: Experimental and finite-element analysis of post-tensioned thin-walled box-girders, 2023, Journal of Constructional Steel Research
  • Development of a high-fidelity failure prediction system for reinforced concrete bridge columns using generative adversarial networks, 2023, Engineering Structures

Their research covers experimental studies, finite-element modeling, and applied artificial intelligence techniques aimed at structural assessment and monitoring. Some work focuses on prestressed concrete components, while others involve machine learning approaches for failure prediction in reinforced concrete structures.

Best Publications

  • Large-Scale Experimental Study of Precast Segmental Unbonded Posttensioned Concrete Bridge Columns for Seismic Regions

    Yu-Chen Ou;Ping-Hsiung Wang;Mu-Sen Tsai;Kuo-Chun Chang

  • Cyclic behavior of precast segmental concrete bridge columns with high performance or conventional steel reinforcing bars as energy dissipation bars

    Yu-Chen Ou;Mu-Sen Tsai;Kuo-Chun Chang;George C. Lee

  • Compressive Behavior of Steel-Fiber-Reinforced Concrete with a High Reinforcing Index

    Yu Chen Ou;Mu Sen Tsai;Kuang Yen Liu;Kuo Chun Chang

  • Large‐scale seismic tests of tall concrete bridge columns with precast segmental construction

    Jui-Chen Wang;Yu-Chen Ou;Kuo-Chun Chang;George C. Lee

  • NEURAL NETWORKS TRAINED BY ANALYTICALLY SIMULATED DAMAGE STATES

    M. F. Elkordy;K. C. Chang;G. C. Lee

  • Study on Damping Reduction Factor for Buildings under Earthquake Ground Motions

    Y. Y. Lin;K. C. Chang

  • Direct displacement-based design for building with passive energy dissipation systems

    Y.Y. Lin;M.H. Tsai;J.S. Hwang;K.C. Chang

  • SEISMIC BEHAVIOR OF STEEL FRAME WITH ADDED VISCOELASTIC DAMPERS

    K. C. Chang;T. T. Soong;S. T. Oh;M. L. Lai

  • Effect of Ambient Temperature on Viscoelastically damped structure

    K. C. Chang;T. T. Soong;S.‐T. Oh;M. L. Lai

  • Performance of a Seismically Isolated Bridge under Near-Fault Earthquake Ground Motions

    Jerry Shen;Meng-Hao Tsai;Kuo-Chun Chang;George C. Lee

  • Flood scour monitoring system using fiber Bragg grating sensors

    Yung Bin Lin;Jihn Sung Lai;Kuo Chun Chang;Lu Sheng Li

  • Real-time monitoring of local scour by using fiber Bragg grating sensors

    Yung-Bin Lin;Jin-Chong Chen;Kuo-Chun Chang;Jenn-Chuan Chern

  • Seismic behaviour of reinforced concrete frame with added viscoelastic dampers

    K.L. Shen;T.T. Soong;K.C. Chang;M.L. Lai

  • Structural health monitoring of concrete columns subjected to seismic excitations using piezoceramic-based sensors

    Wen-I Liao;J X Wang;G Song;H Gu

  • The health monitoring of a prestressed concrete beam by using fiber Bragg grating sensors

    Yung Bin Lin;Kuo Chun Chang;Jenn Chuan Chern;Lon A Wang

  • Ground Motion Duration Effects on Hysteretic Behavior of Reinforced Concrete Bridge Columns

    Yu-Chen Ou;Jianwei Song;Ping-Hsiung Wang;Leo Adidharma

  • Evaluation of damping reduction factors for estimating elastic response of structures with high damping

    Yu-Yuan Lin;Eduardo Miranda;Kuo-Chun Chang

  • Shaking table tests of a scaled bridge model with rolling-type seismic isolation bearings

    Meng-Hao Tsai;Si-Yi Wu;Kuo-Chun Chang;George C. Lee

  • Viscoelastic dampers as energy dissipation devices for seismic applications

    K. C. Chang;T. T. Soong;M. L. Lai;E. J. Nielsen

  • Packaging methods of fiber-Bragg grating sensors in civil structure applications

    Yung Bin Lin;Kuo Chun Chang;Jenn Chuan Chern;L.A. Wang

  • Full-Scale Viscoelastically Damped Steel Frame

    M. L. Lai;K. C. Chang;T. T. Soong;D. S. Hao

Frequent Co-Authors

Yi-Lung Mo
Yi-Lung Mo University of Houston
Anne S. Kiremidjian
Anne S. Kiremidjian Stanford University
T.T. Soong
T.T. Soong University at Buffalo, State University of New York
Chin-Hsiung Loh
Chin-Hsiung Loh National Taiwan University
Eduardo Miranda
Eduardo Miranda Stanford University
Gangbing Song
Gangbing Song University of Houston

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