Bioceramic composites for orthopaedic applications: A comprehensive review of mechanical, biological, and microstructural properties D Shekhawat, A Singh, MK Banerjee, T Singh, A Patnaik Ceramics International 47 (3), 3013-3030, 2021 | 133 | 2021 |
Investigation of structural and optical properties of ZnO thin films of different thickness grown by pulsed laser deposition method V Kumar, SK Singh, H Sharma, S Kumar, MK Banerjee, A Vij Physica B: Condensed Matter 552, 221-226, 2019 | 74 | 2019 |
Effect of scandium on the microstructure and ageing behaviour of cast Al–6Mg alloy MS Kaiser, S Datta, A Roychowdhury, MK Banerjee Materials Characterization 59 (11), 1661-1666, 2008 | 71 | 2008 |
Nuclear Applications: Zirconium Alloys S Banerjee, MK Banerjee Reference Module in Materials Science and Materials Engineering, Oxford, 1-15, 2016 | 56* | 2016 |
Effect of thermomechanical processing on the microstructure and properties of a low carbon copper bearing steel B MK, S Datta ISIJ international 41 (3), 257-261, 2001 | 43 | 2001 |
Nickel-based superalloys A Nowotnik Elsevier, 2016 | 41 | 2016 |
Martensitic Non-stainless Steels: High Strength and High Alloy. WM Garrison, MK Banerjee Reference Module in Materials Science and Materials Engineering. Oxford, 1-8, 2016 | 40* | 2016 |
Optimizing parameters of supervised learning techniques (ANN) for precise mapping of the input–output relationship in TMCP steels S Datta, MK Banerjee Scandinavian journal of metallurgy 33 (6), 310-315, 2004 | 37 | 2004 |
Influence of minor additions on characteristics of Cu–Al–Ni alloy S Bhattacharya, A Bhuniya, MK Banerjee Materials science and technology 9 (8), 654-658, 1993 | 36 | 1993 |
Neural network-based modeling of water quality in Jodhpur, India KK Sinha, MK Gupta, MK Banerjee, G Meraj, SK Singh, S Kanga, ... Hydrology 9 (5), 92, 2022 | 34 | 2022 |
Utilization of low grade coal for direct reduction of mill scale to obtain sponge iron: effect of reduction time and particle size R Sen, S Dehiya, U Pandel, MK Banerjee Procedia Earth and Planetary Science 11, 8-14, 2015 | 34 | 2015 |
Mapping the input–output relationship in HSLA steels through expert neural network S Datta, MK Banerjee Materials Science and Engineering: A 420 (1-2), 254-264, 2006 | 34 | 2006 |
2.8 Heat treatment of commercial steels for engineering applications MK Banerjee Elsevier, 2017 | 32 | 2017 |
Beneficial effect of scandium addition on the corrosion behavior of Al–Si–Mg–SiCp metal matrix composites J Datta, S Datta, MK Banerjee, S Bandyopadhyay Composites Part A: Applied Science and Manufacturing 35 (9), 1003-1008, 2004 | 32 | 2004 |
Age hardening behavior of wrought Al–Mg–Sc alloy MS Kaiser, S Datta, A Roychowdhury, MK Banerjee Materials and Manufacturing Processes 23 (1), 74-81, 2007 | 31 | 2007 |
2.1 Fundamentals of heat treating metals and alloys MK Banerjee Comprehensive materials finishing, 1-49, 2017 | 30 | 2017 |
Effect of scandium additions on the tensile properties of cast Al-6Mg alloys MS Kaiser, S Datta, A Roychowdhury, MK Banerjee Journal of Materials Engineering and Performance 17, 902-907, 2008 | 30 | 2008 |
Petri neural network model for the effect of controlled thermomechanical process parameters on the mechanical properties of HSLA steels S Datta, J Sil, B MK ISIJ international 39 (10), 986-990, 1999 | 29 | 1999 |
―Ion Track Diameter in Fullerene C70 Thin Film using Raman Active Vibrational Modes of C70 Molecule‖ VG P. Sharma, R. Singhal, R. Vishnoi, R. Kaushik, M.K. Banerjee, D.K. Avasthi Vaccum 123, 35, 2016 | 28* | 2016 |
Kohonen network modelling for the strength of thermomechanically processed HSLA steel S Datta, B MK ISIJ international 44 (5), 846-851, 2004 | 28* | 2004 |