World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
54
Citations
9191
World Ranking
3261
National Ranking
22

Jianye Ching 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 Jianye Ching 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: 265 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Jianye Ching 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 Jianye Ching 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: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Jianye Ching is affiliated with the National Taiwan University in Taiwan and has contributed extensively to the fields of engineering and environmental science. Their work primarily falls within civil and structural engineering, safety, risk, reliability and quality, environmental engineering, ocean engineering, and related management and policy areas.

Their research focuses on several core topics including geotechnical engineering and analysis, landslides and related hazards, soil and unsaturated flow, soil geostatistics and mapping, geophysical methods and applications, geotechnical engineering and underground structures, and rock mechanics and modeling.

Ching has published multiple papers in various reputable scientific venues. Recent publications include:

  • Constructing Quasi-Site-Specific Multivariate Probability Distribution Using Hierarchical Bayesian Model, 2021, Journal of Engineering Mechanics
  • Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values, 2020, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
  • Challenges in data-driven site characterization, 2021, Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • Geotechnical uncertainty, modeling, and decision making, 2022, SOILS AND FOUNDATIONS
  • Unpacking data-centric geotechnics, 2022, Underground Space

The venues where Jianye Ching frequently publishes include:

  • Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
  • Computers and Geotechnics
  • Journal of Engineering Mechanics
  • Canadian Geotechnical Journal

Collaborations form a key part of Ching's research contributions. Frequent coauthors are:

  • Kok-Kwang Phoon
  • Ikumasa Yoshida
  • Takayuki Shuku
  • Zhiyong Yang
  • Stephen Wu

Jianye Ching's scholarly output spans a wide array of interdisciplinary topics centered on engineering, with a particular emphasis on geotechnical risk assessment, soil behavior analysis, and data-driven methodological advancements in site characterization. Their work contributes to both theoretical and applied aspects of infrastructure safety, environmental monitoring, and hazard management.

Best Publications

  • Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging

    Jianye Ching;Yi-Chu Chen

  • Application of subset simulation methods to reliability benchmark problems

    S.K. Au;J. Ching;J.L. Beck

  • Bayesian State and Parameter Estimation of Uncertain Dynamical Systems

    Jianye Ching;James L. Beck;Keith A. Porter

  • Structural Model Updating and Health Monitoring with Incomplete Modal Data Using Gibbs Sampler

    Jianye Ching;Matthew M. Muto;James L. Beck

  • Efficient Evaluation of Reliability for Slopes with Circular Slip Surfaces Using Importance Sampling

    Jianye Ching;Jianye Ching;Jianye Ching;Kok-Kwang Phoon;Kok-Kwang Phoon;Kok-Kwang Phoon;Yu-Gang Hu;Yu-Gang Hu;Yu-Gang Hu

  • Geotechnical uncertainty, modeling, and decision making

    Unknown

  • Risk and Reliability in Geotechnical Engineering

    Kok-Kwang Phoon;Jianye Ching

  • Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values

    Brigid Cami;Sina Javankhoshdel;Kok-Kwang Phoon;Jianye Ching

  • Reliability Estimation for Dynamical Systems Subject to Stochastic Excitation using Subset Simulation with Splitting

    Jianye Ching;Siu-Kui Au;James L. Beck

  • Challenges in data-driven site characterization

    Kok Kwang Phoon;Jianye Ching;Takayuki Shuku

  • Correlations among some clay parameters — the multivariate distribution

    Unknown

  • Constructing Site-Specific Multivariate Probability Distribution Model Using Bayesian Machine Learning

    Jianye Ching;Kok-Kwang Phoon

  • Bayesian Analysis of the Phase II IASC–ASCE Structural Health Monitoring Experimental Benchmark Data

    J. Ching;J. L. Beck

  • Local estimation of failure probability function and its confidence interval with maximum entropy principle

    Jianye Ching;Yi-Hung Hsieh

  • Hybrid Subset Simulation method for reliability estimation of dynamical systems subject to stochastic excitation

    J. Ching;J.L. Beck;S.K. Au

  • Reducing shear strength uncertainties in clays by multivariate correlations.

    Jianye ChingJ. Ching;Jianye ChingJ. Ching;Jianye ChingJ. Ching;Kok-Kwang PhoonK.-K. Phoon;Kok-Kwang PhoonK.-K. Phoon;Kok-Kwang PhoonK.-K. Phoon;Yi-Chu ChenY.-C. Chen;Yi-Chu ChenY.-C. Chen;Yi-Chu ChenY.-C. Chen

  • Characterizing Uncertain Site-Specific Trend Function by Sparse Bayesian Learning

    Jianye Ching;Kok-Kwang Phoon

  • New Bayesian Model Updating Algorithm Applied to a Structural Health Monitoring Benchmark

    Jianye Ching;James L. Beck

  • Statistical characterization of random field parameters using frequentist and Bayesian approaches

    Jianye Ching;Shih-Shuan Wu;Kok-Kwang Phoon

  • Effect of element sizes in random field finite element simulations of soil shear strength

    Jianye Ching;Kok-Kwang Phoon

  • Unpacking Data–centric Geotechnics

    Unknown

  • Application of the transitional Markov chain Monte Carlo algorithm to probabilistic site characterization

    Jianye Ching;Jiun-Shiang Wang

  • Bayesian State Estimation Method for Nonlinear Systems and Its Application to Recorded Seismic Response

    Jianye Ching;James L. Beck;Keith A. Porter;Rustem Shaikhutdinov

Frequent Co-Authors

Kok-Kwang Phoon
Kok-Kwang Phoon Singapore University of Technology and Design
James L. Beck
James L. Beck California Institute of Technology
C. Hsein Juang
C. Hsein Juang Clemson University
Chang-Yu Ou
Chang-Yu Ou National Taiwan University of Science and Technology
Armin W. Stuedlein
Armin W. Stuedlein Oregon State University
Jorge G. Zornberg
Jorge G. Zornberg The University of Texas at Austin
Li Min Zhang
Li Min Zhang Hong Kong University of Science and Technology
Dian-Qing Li
Dian-Qing Li Wuhan University
Siu-Kui Au
Siu-Kui Au Nanyang Technological University
Hongwei Huang
Hongwei Huang Tongji University

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