World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
3998
World Ranking
9263
National Ranking
2596

Robert Y. Liang 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 Robert Y. Liang 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: 211 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Robert Y. Liang 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 Robert Y. Liang 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: 34 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Robert Y. Liang is affiliated with the University of Akron in the United States. Their research spans multiple fields, primarily focusing on Engineering and Environmental Science.

The scientist's work is distributed across several subfields, including Civil and Structural Engineering, Environmental Engineering, Mechanical Engineering, Social Psychology, and Ecology. This multidisciplinary approach supports a diverse range of research topics that integrate engineering principles with environmental and biological processes.

Robert Y. Liang's research topics include:

  • Soil Geostatistics and Mapping
  • Geophysical Methods and Applications
  • Soil Carbon and Nitrogen Dynamics
  • Plant Ecology and Soil Science
  • Ferroptosis and cancer prognosis
  • Cancer Immunotherapy and Biomarkers
  • Epigenetics and DNA Methylation

The scientist has contributed to the academic literature with notable publications spanning from 2020 to 2025. Key recent papers are:

  • "Statistical analysis of spatial distribution of external corrosion defects in buried pipelines using a multivariate Poisson-lognormal model," 2020, published in Structure and Infrastructure Engineering
  • "Unsupervised and Simultaneous Stratigraphic Interpretation of CPT Soundings at Site Scale," 2021, published in International Journal of Geomechanics
  • "Assessing the impact of multi-source environmental variables on soil organic carbon in different land use types of China using an interpretable high-precision machine learning method," 2024, published in Ecological Indicators
  • "High-performance prediction of soil organic carbon using automatic hyperparameter optimization method in the yellow river delta of China," 2025, published in Computers and Electronics in Agriculture
  • "Research progress on the cross-regulation between ferroptosis and immunogenic cell death in tumor micro-environment," 2025, published in Frontiers in Oncology

Robert Y. Liang has collaborated frequently with several researchers, including:

  • Hui Wang
  • Feng Wang
  • Meiyan Xiang
  • Weihao Yang
  • Miao Lu

The scientist has published in various venues important to their fields of study, including:

  • Ecological Indicators
  • Computers and Electronics in Agriculture
  • Frontiers in Oncology
  • Structure and Infrastructure Engineering
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Detection of cracks in beam structures using measurements of natural frequencies

    Robert Y. Liang;Fred K. Choy;Jialou Hu

  • Theoretical study of crack-induced eigenfrequency changes on beam structures

    Robert Y. Liang;Jialou Hu;Fred Choy

  • Predicting Moisture-Dependent Resilient Modulus of Cohesive Soils Using Soil Suction Concept

    Robert Y Liang;Samer R Rabab'ah;Mohammad Khasawneh

  • An integrated approach to detection of cracks using vibration characteristics

    Jialou Hu;Robert Y. Liang

  • A reliability based approach for evaluating the slope stability of embankment dams

    R.Y. Liang;O.K. Nusier;A.H. Malkawi

  • Quantifying stratigraphic uncertainties by stochastic simulation techniques based on Markov random field

    Zhao Li;Xiangrong Wang;Hui Wang;Robert Y. Liang

  • Quantitative NDE technique for assessing damages in beam structures

    Robert Y. Liang;Jialou Hu;Fred Choy

  • Numerical Study of Soil Arching Mechanism in Drilled Shafts for Slope Stabilization

    Unknown

  • Probabilistic analysis of shield-driven tunnel in multiple strata considering stratigraphic uncertainty

    Xiangrong Wang;Zhao Li;Hui Wang;Qiguo Rong

  • STABILITY ANALYSIS OF DRILLED SHAFTS REINFORCED SLOPE

    Sanping Zeng;Robert Liang

  • SHORT-TERM AND LONG-TERM AGING BEHAVIOR OF RUBBER MODIFIED ASPHALT PAVING MIXTURE

    Robert Y. Liang;Suckhong Lee

  • Anisotropic Plasticity Model for Undrained Cyclic Behavior of Clays. I: Theory

    Robert Y. Liang;Fenggang Ma

  • A case study integrating numerical simulation and GB-InSAR monitoring to analyze flexural toppling of an anti-dip slope in Fushun open pit

    Zhao Li;Jin'an Wang;Lin Li;Lixiang Wang

  • Bayesian Modeling of External Corrosion in Underground Pipelines Based on the Integration of Markov Chain Monte Carlo Techniques and Clustered Inspection Data

    Hui Wang;Ayako Yajima;Robert Y. Liang;Homero Castaneda

  • New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach

    Behnam Kiani;Amir H. Gandomi;Siavash Sajedi;Robert Y. Liang

  • VIKOR method for ranking concrete bridge repair projects with target-based criteria

    Zhicheng Gao;Robert Y. Liang;Tiemin Xuan

  • Methodology for Establishing Risk Criteria for Dams in Developing Countries, Case Study of China

    Wei Ge;Zongkun Li;Robert Y. Liang;Wei Li

  • Material selection for repair of structural concrete using VIKOR method

    Behnam Kiani;Robert Y. Liang;Jacob Gross

  • A semi-supervised clustering-based approach for stratification identification using borehole and cone penetration test data

    Xiangrong Wang;Hui Wang;Robert Y. Liang;Yang Liu

  • A Bayesian unsupervised learning approach for identifying soil stratification using cone penetration data

    Hui Wang;Xiangrong Wang;J. Florian Wellmann;Robert Y. Liang

  • A Bayesian model framework for calibrating ultrasonic in-line inspection data and estimating actual external corrosion depth in buried pipeline utilizing a clustering technique

    Hui Wang;Ayako Yajima;Robert Y. Liang;Homero Castaneda

  • Limiting equilibrium method for slope/drilled shaft system

    Mohammad M. Yamin;Robert Y. Liang

  • Numerical solution for laterally loaded piles in a two-layer soil profile

    Ke Yang;Robert Liang

  • Probabilistic landslide hazard assessment using Copula modeling technique

    Manouchehr Motamedi;Robert Y. Liang

Frequent Co-Authors

Hanlong Liu
Hanlong Liu Chongqing University
James K. Mitchell
James K. Mitchell Rutgers, The State University of New Jersey
Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
Anil Misra
Anil Misra University of Kansas
Hongwei Huang
Hongwei Huang Tongji University
Yang Xiao
Yang Xiao Chongqing University
Xuanming Ding
Xuanming Ding Chongqing University
Ching S. Chang
Ching S. Chang University of Massachusetts Amherst

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