Georisk

Georisk

ISSNs: 1749-9518

Additional searchable ISSN (electronic): 1749-9526

Taylor & Francis, United Kingdom

Scopus rating (2022): CiteScore 6.8 SJR 1.207 SNIP 1.566

Journal

Journal Metrics

Research Output

  1. 2024
  2. Published

    Non-parametric simulation of random field samples from incomplete measurements using generative adversarial networks

    Wang, Y., Lyu, B., Shi, C. & Hu, Y., Mar 2024, In: Georisk. 18, 1, p. 60-84 25 p.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 2
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  3. 2023
  4. Online published

    Digital geotechnics: from data-driven site characterisation towards digital transformation and intelligence in geotechnical engineering

    Wang, Y. & Tian, H., 6 Nov 2023, (Online published) In: Georisk.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 2
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  5. Online published

    Risk-informed adaptive sampling strategy for liquefaction severity mapping

    Guan, Z. & Wang, Y., Jun 2024, In: Georisk. 18, 2, p. 526–539 14 p.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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  6. Published

    Development of training image database for subsurface stratigraphy

    Shi, C. & Wang, Y., 2023, In: Georisk. 17, 1, p. 23-40

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 2
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  7. Published

    Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS)

    Li, P. & Wang, Y., 2023, In: Georisk. 17, 3, p. 554-571

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  8. 2022
  9. Published

    Data analytics in geotechnical and geological engineering

    Wang, Y., Zhang, W., Qi, X. & Ching, J., 2022, In: Georisk. 16, 1, p. 1

    Research output: Journal Publications and ReviewsEditorial Prefacepeer-review

    Scopus citations: 5
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  10. Published

    Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis

    Wang, Y., Shi, C. & Li, X., 2022, In: Georisk. 16, 1, p. 2-20 19 p.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 23
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  11. Published

    Non-parametric modelling and simulation of spatiotemporally varying geo-data

    Wang, Y., Hu, Y. & Phoon, K., 2022, In: Georisk. 16, 1, p. 77-97

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 27
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  12. 2021
  13. Published

    Probabilistic characterisation of uniaxial compressive strength of rock using test results from multiple types of punch tests

    Aladejare, A. E., Akeju, V. O. & Wang, Y., 2021, In: Georisk. 15, 3, p. 209-220

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 10
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  14. 2020
  15. Published

    Identification of failure slip surfaces for landslide risk assessment using smoothed particle hydrodynamics

    Li, L. & Wang, Y., 2020, In: Georisk. 14, 2, p. 91-111

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 23
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  16. 2017
  17. Published

    Evaluation of rock property variability

    Aladejare, A. E. & Wang, Y., 2017, In: Georisk. 11, 1, p. 22-41

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 60
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  18. 2016
  19. Published

    Distinctive and critical elements in geotechnical risk and reliability

    Wang, Y., Li, D. & Cao, Z., 1 Oct 2016, In: Georisk. 10, 4

    Research output: Journal Publications and ReviewsEditorial Preface

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  20. Published

    Bayesian Equivalent Sample Toolkit (BEST): an Excel VBA program for probabilistic characterisation of geotechnical properties from limited observation data

    Wang, Y., Akeju, O. V. & Cao, Z., 2016, In: Georisk. 10, 4, p. 251-268

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 28
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  21. 2013
  22. Published

    MCS-based probabilistic design of embedded sheet pile walls

    Wang, Y., Sept 2013, In: Georisk. 7, 3, p. 151-162

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 43
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  23. 2007
  24. Back-analysis of liquefaction in the 2006 mozambique earthquake

    Ló Pez-Querol, S., Coop, M. R., Bommer, J. J., Fenton, C. & Sim, W. W., 2007, In: Georisk. 1, 2, p. 89-101

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 3
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