Some case studies on application of “<i>r</i><sub><i>m</i></sub><sup>2</sup>” metrics for judging quality of quantitative structure–activity relationship predictions: Emphasis on scaling of response dataKunal Roy, Rudra Narayan Das, Supratik Kar et al.|Journal of Computational Chemistry|2013Cited by 468
Comparative Studies on Some Metrics for External Validation of QSPR ModelsKunal Roy, Md. Humayun Kabir, Supratik Kar et al.|Journal of Chemical Information and Modeling|2011Cited by 453
Is it possible to improve the quality of predictions from an “intelligent” use of multiple QSAR/QSPR/QSTR models?Kunal Roy, Probir Kumar Ojha, Pravin Ambure et al.|Journal of Chemometrics|2018Cited by 129
On further application of <i>r</i> as a metric for validation of QSAR modelsIndrani Mitra, Kunal Roy, Probir Kumar Ojha et al.|Journal of Chemometrics|2009Cited by 86
Introduction of rm2(rank) metric incorporating rank-order predictions as an additional tool for validation of QSAR/QSPR modelsKunal Roy, Md. Humayun Kabir, Probir Kumar Ojha et al.|Chemometrics and Intelligent Laboratory Systems|2012Cited by 75