Mr Clement Lartey

Mr Clement Lartey

Higher Degree by Research Candidate

School of Computer Science and Information Technology

College of Engineering and Information Technology

Year Citation
2025 Lartey, C., Asamoah, R. K., Greet, C., Zanin, M., & Liu, J. (2025). An interpretable and generalised machine learning model for predicting flotation performance. Minerals Engineering, 232(109492), 1-11.
DOI
2024 Lartey, C., Liu, J., Asamoah, R. K., Greet, C., Zanin, M., & Skinner, W. (2024). Effective Outlier Detection for Ensuring Data Quality in Flotation Data Modelling Using Machine Learning (ML) Algorithms. Minerals, 14(9), 1-28.
DOI Scopus17 WoS14
2019 Li, Y., Li, W., Wei, Z., Xiao, Q., Lartey, C., Li, Y., & Song, S. (2019). The Influence of Common Chlorides on the Adsorption of SBX on Chalcopyrite Surface during Flotation Process. Mineral processing and extractive metallurgy review, 40(2), 129-140.
DOI Scopus24 WoS25
2018 Li, Y., Lartey, C., Song, S., Li, Y., & Gerson, A. R. (2018). The fundamental roles of monovalent and divalent cations with sulfates on molybdenite flotation in the absence of flotation reagents. RSC advances, 8(41), 23364-23371.
DOI Scopus22 WoS20 Europe PMC2
2017 Li, Y., Li, W., Xiao, Q., He, N., Ren, Z., Lartey, C., & Gerson, A. R. (2017). The influence of common monovalent and divalent chlorides on chalcopyrite flotation. Minerals, 7(7, article no. 111), 1-10.
DOI Scopus38 WoS31
2017 Li, Y., Wang, B., Xiao, Q., Lartey, C., & Zhang, Q. (2017). The mechanisms of improved chalcopyrite leaching due to mechanical activation. Hydrometallurgy, 173, 149-155.
DOI Scopus44 WoS39

Year Citation
2020 Zhu, H., Li, Y., Lartey, C., Li, W., & Qian, G. (2020). Flotation kinetics of molybdenite in common sulfate salt solutions. In Minerals Engineering Vol. 148 (pp. 5 pages). ENGLAND, Falmouth: PERGAMON-ELSEVIER SCIENCE LTD.
DOI Scopus20 WoS17

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