| Why the future of rock mass classification systems requires revisiting their empirical past B Yang, A Mitelman, D Elmo, D Stead Quarterly Journal of Engineering Geology and Hydrogeology 55 (1), qjegh2021-039, 2022 | 27 | 2022 |
| A new approach to characterise the impact of rock bridges in stability analysis D Elmo, D Stead, B Yang, G Marcato, L Borgatti Rock Mechanics and Rock Engineering 55 (5), 2551-2569, 2022 | 26 | 2022 |
| A discrete fracture network approach to rock mass classification D Elmo, B Yang, D Stead, S Rogers Challenges and Innovations in Geomechanics: Proceedings of the 16th …, 2021 | 21 | 2021 |
| Examining rock engineering knowledge through a philosophical lens D Elmo, A Mitelman, B Yang Geosciences 12 (4), 174, 2022 | 19 | 2022 |
| Why engineers should not attempt to quantify GSI B Yang, D Elmo Geosciences 12 (11), 417, 2022 | 17 | 2022 |
| Coupling geotechnical numerical analysis with machine learning for observational method projects A Mitelman, B Yang, A Urlainis, D Elmo Geosciences 13 (7), 196, 2023 | 12 | 2023 |
| Data preparation for machine learning in rock engineering B Yang, R Nazari, D Elmo, D Stead, E Eberhardt IOP Conference Series: Earth and Environmental Science 1124 (1), 012072, 2023 | 7 | 2023 |
| Can new technologies shake the empirical foundations of rock engineering? D Elmo, D Stead, B Yang, R Tsai, Y Fogel UMT 2020: Proceedings of the Second International Conference on Underground …, 2020 | 7 | 2020 |
| Questioning the use of RQD in rock engineering and its implications for future rock slope design B Yang, D Elmo, D Stead proceedings of: 52nd International Symposium on Rock Mechanics, Golden …, 2020 | 6 | 2020 |
| Disrupting the concept of rock bridges D Elmo, D Stead, B Yang ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-2063, 2020 | 5 | 2020 |
| Questioning the use of RQD in rock engineering and its implications for rock engineering design B Yang, D Elmo, D Stead ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-1404, 2020 | 5 | 2020 |
| Choosing between prediction and explanation in geological engineering: Lessons from psychology A Mitelman, B Yang, D Elmo, Y Giat Interdisciplinary Science Reviews 48 (4), 651-668, 2023 | 3 | 2023 |
| Implementation of Surrogate Models for the Analysis of Slope Problems A Mitelman, B Yang, D Elmo Geosciences 13 (4), 99, 2023 | 3 | 2023 |
| Does Rock Engineering Need to Quantify GSI? B Yang, D Elmo Rocscience International Conference (RIC 2023), 700-710, 2023 | 2 | 2023 |
| Algorithmic Geology: Tackling Methodological Challenges in Applying Machine Learning to Rock Engineering B Yang, LJ Heagy, J Morgenroth, D Elmo Geosciences 14 (3), 67, 2024 | 1 | 2024 |
| Applications of information theory in rock engineering B Yang, D Elmo, D Stead ISRM EUROCK, ISRM-EUROCK-2021-048, 2021 | 1 | 2021 |
| Definition Please–A Rock Engineering Dictionary B Yang, Y Li, E Ambah, D Elmo ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2024-0273, 2024 | | 2024 |
| Examining the reliability of integrating machine learning with rock mass characterization and classification data B Yang University of British Columbia, 2024 | | 2024 |
| To remove, or not to remove outliers, that is the question B Yang, J Morgenroth, L Heagy, D Elmo New Challenges in Rock Mechanics and Rock Engineering, 117-122, 2024 | | 2024 |
| A Surrogate Model for Automating Slope Stability Analysis A Mitelman, B Yang, D Elmo ISRM Congress, ISRM-15CONGRESS-2023-313, 2023 | | 2023 |
