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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Hao, S., Xu, W., May, B. M., Zhang, Z., & Zhang, Y. (2025). Experimental study on the micro-mechanism and compressive strength of concrete with calcined coal gangue coarse aggregate. Case Studies in Construction Materials, 22, e04680 (20 pages). External link
Hao, S., & Pabst, T. (2023). Experimental Study and Mathematical Description of Gradation Effect on the Mechanical Characteristics of Crushed Waste Rocks. International Journal of Geomechanics, 23(2), 17 pages. External link
Hao, S., & Pabst, T. (2023). Mechanical Characterization of Coarse-Grained Waste Rocks Using Large-Scale Triaxial Tests and Neuroevolution of Augmenting Topologies. Journal of Geotechnical and Geoenvironmental Engineering, 149(6), 18 pages. External link
Hao, S., & Pabst, T. (2022). Effect of freeze–thaw and wetting–drying cycles on the CBR, shear strength, stiffness and permanent deformation of crushed waste rocks. Road Materials and Pavement Design, 24(5), 1233-1253. External link
Hao, S., & Pabst, T. (2022). Estimation of permanent deformation behaviour of crushed waste rocks using multistage repeated load triaxial and CBR tests. International Journal of Pavement Engineering, 14 pages. External link
Hao, S., & Pabst, T. (2022). Experimental Investigation and Prediction of the Permanent Deformation of Crushed Waste Rock Using an Artificial Neural Network Model. International Journal of Geomechanics, 22(5), 16 pages. External link
Hao, S., & Pabst, T. (2022). Prediction of CBR and resilient modulus of crushed waste rocks using machine learning models. ACTA Geotechnica, 17(4), 1383-1402. External link
Hao, S. (2021). Experimental measurement, mathematical description, and machine learning prediction of the mechanical properties of waste rocks for mine haul roads [Ph.D. thesis, Polytechnique Montréal]. Available
Laverdière, A., Hao, S., Pabst, T., & Courcelles, B. (2022). Effect of gradation, compaction and water content on crushed waste rocks strength. Road Materials and Pavement Design, 24(3), 761-775. External link
