Wiley Interdisciplinary Reviews-Computational Molecular Science

Papers
(The H4-Index of Wiley Interdisciplinary Reviews-Computational Molecular Science is 33. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Software update: The ORCA program system—Version 5.0924
Extended tight‐binding quantum chemistry methods549
TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics137
Gaussian accelerated molecular dynamics: Principles and applications117
The prospects of quantum computing in computational molecular biology103
Molecular electrostatic potential analysis: A powerful tool to interpret and predict chemical reactivity95
Machine‐learning scoring functions for structure‐based virtual screening89
Dielectric continuum methods for quantum chemistry82
Decoding chemical information from vibrational spectroscopy data: Local vibrational mode theory80
QUESTDB: A database of highly accurate excitation energies for the electronic structure community80
In silico toxicology: From structure–activity relationships towards deep learning and adverse outcome pathways76
Hydrogen bond design principles73
Atomistic modeling of electrocatalysis: Are we there yet?72
Generative models for molecular discovery: Recent advances and challenges72
A review of molecular representation in the age of machine learning71
Principal interacting orbital: A chemically intuitive method for deciphering bonding interaction65
The ezSpectra suite: An easy‐to‐use toolkit for spectroscopy modeling63
Modeling of the spectroscopy of core electrons with density functional theory58
The challenge of predicting distal active site mutations in computational enzyme design58
Exploring paths of chemical transformations in molecular and periodic systems: An approach utilizing force58
Two decades of Martini: Better beads, broader scope57
NCIPLOT and the analysis of noncovalent interactions using the reduced density gradient52
High‐throughput computational materials screening and discovery of optoelectronic semiconductors50
Application advances of deep learning methods for de novo drug design and molecular dynamics simulation47
Deep learning for drug repurposing: Methods, databases, and applications45
Toxicity prediction based on artificial intelligence: A multidisciplinary overview44
Delocalization error: The greatest outstanding challenge in density‐functional theory40
Emerging quantum computing algorithms for quantum chemistry40
The MolSSI QCArchive project: An open‐source platform to compute, organize, and share quantum chemistry data38
Rational design of allosteric modulators: Challenges and successes38
WebMO: Web‐based computational chemistry calculations in education and research37
Finite temperature quantum dynamics of complex systems: Integrating thermo‐field theories and tensor‐train methods35
Machine learning in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship35
DFTpy: An efficient and object‐oriented platform for orbital‐free DFT simulations33
0.044502973556519