For: | Badu S, Melnik R, Singh S. Mathematical and computational models of RNA nanoclusters and their applications in data-driven environments. Molecular Simulation 2020;46:1094-115. [DOI: 10.1080/08927022.2020.1804564] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis] |
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Number | Citing Articles |
1 | Moore JA, Chow JCL. Recent progress and applications of gold nanotechnology in medical biophysics using artificial intelligence and mathematical modeling. Nano Ex 2021;2:022001. [DOI: 10.1088/2632-959x/abddd3] [Cited by in Crossref: 11] [Article Influence: 11.0] [Reference Citation Analysis] |
2 | León C, Melnik R. Machine Learning for Shape Memory Graphene Nanoribbons and Applications in Biomedical Engineering. Bioengineering 2022;9:90. [DOI: 10.3390/bioengineering9030090] [Reference Citation Analysis] |
3 | Fallahpour R, Melnik R. A MOLECULAR DYNAMICS STUDY OF NANOWIRE RESONATOR BIO-OBJECT DETECTION. J Mech Med Biol . [DOI: 10.1142/s0219519422500038] [Reference Citation Analysis] |
4 | Singh S, Melnik R. Coupled Multiphysics Modelling of Sensors for Chemical, Biomedical, and Environmental Applications with Focus on Smart Materials and Low-Dimensional Nanostructures. Chemosensors 2022;10:157. [DOI: 10.3390/chemosensors10050157] [Reference Citation Analysis] |
5 | Sytnyk D, Melnik R. Mathematical Models with Nonlocal Initial Conditions: An Exemplification from Quantum Mechanics. MCA 2021;26:73. [DOI: 10.3390/mca26040073] [Reference Citation Analysis] |