Hai‐Sui Yu

10.7k total citations · 2 hit papers
218 papers, 8.2k citations indexed

About

Hai‐Sui Yu is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Mechanics of Materials. According to data from OpenAlex, Hai‐Sui Yu has authored 218 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Civil and Structural Engineering, 43 papers in Safety, Risk, Reliability and Quality and 42 papers in Mechanics of Materials. Recurrent topics in Hai‐Sui Yu's work include Geotechnical Engineering and Soil Mechanics (135 papers), Geotechnical Engineering and Underground Structures (133 papers) and Geotechnical Engineering and Soil Stabilization (79 papers). Hai‐Sui Yu is often cited by papers focused on Geotechnical Engineering and Soil Mechanics (135 papers), Geotechnical Engineering and Underground Structures (133 papers) and Geotechnical Engineering and Soil Stabilization (79 papers). Hai‐Sui Yu collaborates with scholars based in United Kingdom, China and Australia. Hai‐Sui Yu's co-authors include Scott W. Sloan, David Harris, Xia Li, Mingjing Jiang, Pin‐Qiang Mo, Yunming Yang, R. S. Merifield, Rodrigo Salgado, Ming Jiang and Ian Collins and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Applied Mechanics and International Journal for Numerical Methods in Engineering.

In The Last Decade

Hai‐Sui Yu

213 papers receiving 7.9k citations

Hit Papers

Cavity Expansion Methods in Geomechanics 2000 2026 2008 2017 2000 2005 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hai‐Sui Yu United Kingdom 49 6.9k 2.0k 1.7k 1.6k 1.4k 218 8.2k
M. R. Coop United Kingdom 57 8.7k 1.3× 734 0.4× 1.6k 1.0× 2.2k 1.4× 1.2k 0.8× 157 9.8k
David Muir Wood United Kingdom 44 6.9k 1.0× 851 0.4× 1.2k 0.7× 1.3k 0.8× 843 0.6× 179 8.1k
Mingjing Jiang China 41 4.5k 0.7× 1.2k 0.6× 1.8k 1.0× 1.9k 1.2× 1.4k 1.0× 248 6.3k
Poul V. Lade United States 55 8.3k 1.2× 1.1k 0.5× 1.8k 1.1× 2.3k 1.5× 796 0.6× 158 9.4k
Jidong Zhao Hong Kong 51 5.1k 0.7× 676 0.3× 2.5k 1.5× 2.9k 1.8× 2.8k 2.0× 206 8.2k
Daichao Sheng Australia 63 9.4k 1.4× 1.4k 0.7× 2.0k 1.2× 3.4k 2.2× 1.2k 0.8× 317 11.9k
Guoxiong Mei China 42 4.5k 0.6× 1.2k 0.6× 894 0.5× 716 0.5× 435 0.3× 322 5.9k
W. Andy Take Canada 40 5.1k 0.7× 935 0.5× 584 0.3× 1.9k 1.2× 530 0.4× 153 6.5k
Fumio Tatsuoka Japan 56 10.0k 1.5× 1.9k 1.0× 964 0.6× 1.4k 0.9× 341 0.2× 358 10.7k
G. R. McDowell United Kingdom 43 5.8k 0.8× 562 0.3× 1.9k 1.1× 1.4k 0.9× 1.6k 1.1× 122 7.0k

Countries citing papers authored by Hai‐Sui Yu

Since Specialization
Citations

This map shows the geographic impact of Hai‐Sui Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hai‐Sui Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Sui Yu more than expected).

Fields of papers citing papers by Hai‐Sui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Sui Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hai‐Sui Yu. The network helps show where Hai‐Sui Yu may publish in the future.

Co-authorship network of co-authors of Hai‐Sui Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Sui Yu. A scholar is included among the top collaborators of Hai‐Sui Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hai‐Sui Yu. Hai‐Sui Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cui, Kai, et al.. (2025). Modelling for the monotonic and cyclic behaviours of anisotropic soils. Computers and Geotechnics. 185. 107250–107250. 1 indexed citations
2.
4.
Chen, Shengli, Hai‐Sui Yu, Younane Abousleiman, & Christopher E. Kees. (2025). Poromechanical Solution for One‐Dimensional Large Strain Consolidation of Modified Cam‐Clay Soil. International Journal for Numerical and Analytical Methods in Geomechanics. 49(5). 1396–1407. 2 indexed citations
5.
Yang, Yunming, et al.. (2024). Energy dissipation in monotonic and cyclic simple shear tests considering initial static shear stress. Soil Dynamics and Earthquake Engineering. 180. 108576–108576. 4 indexed citations
6.
Mo, Pin‐Qiang, et al.. (2024). Undrained cavity expansion–contraction analysis in CASM and its application for pressuremeter tests. Canadian Geotechnical Journal. 62. 1–19. 3 indexed citations
7.
Mo, Pin‐Qiang, et al.. (2024). Drained Cavity Expansion–Contraction in CASM and Its Application for Pressuremeter Tests in Sands. Journal of Geotechnical and Geoenvironmental Engineering. 150(9). 4 indexed citations
8.
He, Yang, et al.. (2024). Physics-informed neural network solution for thermo-elastic cavity expansion problem. Geomechanics and Geoengineering. 20(3). 440–450. 1 indexed citations
10.
Yuan, Ran, et al.. (2024). Unified Modeling for the Simple Shear Behavior of Clay and Sand Accounting for Principal Stress Rotations. International Journal of Geomechanics. 24(11). 3 indexed citations
11.
Yu, Hai‐Sui, et al.. (2023). Rigorous solution for drained analysis of spherical cavity expansion in soils of finite radial extent. Computers and Geotechnics. 160. 105516–105516. 11 indexed citations
12.
Yang, Yunming, et al.. (2023). Experimental study of the effects of initial shear stress on liquefaction potential through an energy-based approach. Ocean Engineering. 284. 115102–115102. 7 indexed citations
13.
Ge, Shangqi, et al.. (2023). Unsaturated hydro-mechanical-electro-chemical coupling based on mixture-coupling theory: a unified model. International Journal of Engineering Science. 191. 103914–103914. 7 indexed citations
14.
Yuan, Ran, et al.. (2019). Noncoaxial Theory of Plasticity Incorporating Initial Soil Anisotropy. International Journal of Geomechanics. 19(12). 9 indexed citations
15.
Chen, Xiaohui, et al.. (2019). An extension of Biot's theory with molecular influence based on mixture coupling theory: Mathematical model. International Journal of Solids and Structures. 191-192. 76–86. 6 indexed citations
16.
Hu, Nian, et al.. (2017). Theoretical Analysis of Pressure-Dependent K 0 for Normally Consolidated Clays Using Critical State Soil Models. International Journal of Geomechanics. 18(3). 8 indexed citations
17.
Wang, Juan & Hai‐Sui Yu. (2013). Residual stresses and shakedown in cohesive-frictional half-space under moving surface loads. Geomechanics and Geoengineering. 8(1). 1–14. 30 indexed citations
18.
Li, Xia & Hai‐Sui Yu. (2011). Tensorial characterisation of directional data in micromechanics. International Journal of Solids and Structures. 48(14-15). 2167–2176. 25 indexed citations
19.
Yu, Hai‐Sui, et al.. (2005). On a class of non-coaxial plasticity models for granular soils. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 462(2067). 725–748. 48 indexed citations
20.
Yu, Hai‐Sui & R. Kerry Rowe. (1999). Plasticity solutions for soil behaviour around contracting cavities and tunnels. International Journal for Numerical and Analytical Methods in Geomechanics. 23(12). 1245–1279. 107 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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