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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Atomistic neural network representations for chemical dynamics simulations of molecular, condensed phase, and interfacial systems: Efficiency, representability, and generalization
Yaolong Zhang, Qidong Lin, Bin Jiang
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 13, Iss. 3
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows
Pavlo O. Dral, Fuchun Ge, Yi-Fan Hou, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 3, pp. 1193-1213
Open Access | Times Cited: 30
Machine Learning of Reactive Potentials
Yinuo Yang, Shuhao Zhang, Kavindri Ranasinghe, et al.
Annual Review of Physical Chemistry (2024) Vol. 75, Iss. 1, pp. 371-395
Closed Access | Times Cited: 21
Universal machine learning for the response of atomistic systems to external fields
Yaolong Zhang, Bin Jiang
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 35
Accurate fundamental invariant-neural network representation of ab initio potential energy surfaces
Bina Fu, Dong H. Zhang
National Science Review (2023) Vol. 10, Iss. 12
Open Access | Times Cited: 23
An overview about neural networks potentials in molecular dynamics simulation
Raidel Martin‐Barrios, Edisel Navas‐Conyedo, Xuyi Zhang, et al.
International Journal of Quantum Chemistry (2024) Vol. 124, Iss. 11
Closed Access | Times Cited: 11
Machine Learning Interatomic Potentials for Reactive Hydrogen Dynamics at Metal Surfaces Based on Iterative Refinement of Reaction Probabilities
Wojciech G. Stark, Julia Westermayr, Oscar A. Douglas‐Gallardo, et al.
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 50, pp. 24168-24182
Open Access | Times Cited: 21
Vibrational energy transfer in collisions of molecules with metal surfaces
Igor Rahinov, Alexander Kandratsenka, Tim Schäfer, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 21, pp. 15090-15114
Open Access | Times Cited: 7
First-Principles Nonadiabatic Dynamics of Molecules at Metal Surfaces with Vibrationally Coupled Electron Transfer
Gang Meng, Julian W. Gardner, Nils Hertl, et al.
Physical Review Letters (2024) Vol. 133, Iss. 3
Open Access | Times Cited: 7
Gaussian Process Regression for State-to-State Integral Cross Sections: The Case of the O + O2 Collision Dissociation Reactions
Jiawei Yang, Jia Li, Junhong Li, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 25, pp. 4966-4975
Closed Access | Times Cited: 6
Biomass carbon mining to develop nature-inspired materials for a circular economy
Anna Bachs-Herrera, Daniel York, Tristan Stephens-Jones, et al.
iScience (2023) Vol. 26, Iss. 4, pp. 106549-106549
Open Access | Times Cited: 13
Unsupervised Machine Learning in the Analysis of Nonadiabatic Molecular Dynamics Simulation
Yifei Zhu, Jiawei Peng, Chao Xu, et al.
The Journal of Physical Chemistry Letters (2024), pp. 9601-9619
Closed Access | Times Cited: 4
Efficient Sampling for Machine Learning Electron Density and Its Response in Real Space
Chaoqiang Feng, Yaolong Zhang, Bin Jiang
Journal of Chemical Theory and Computation (2025)
Open Access
SchrödingerNet: A Universal Neural Network Solver for the Schrödinger Equation
Yaolong Zhang, Bin Jiang, Hua Guo
Journal of Chemical Theory and Computation (2025)
Open Access
Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Spillover Dynamics in Heterogeneous Catalysis on Singe‐Atom Alloys: A Theoretical Perspective
Shuyu Lin, Rui Xiong, Jun Chen, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2025) Vol. 15, Iss. 2
Closed Access
Modeling Equilibration Dynamics of Hyperthermal Products of Surface Reactions Using Scalable Neural Network Potential with First-Principles Accuracy
Qidong Lin, Bin Jiang
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 33, pp. 7513-7518
Closed Access | Times Cited: 7
Accuracy Assessment of Atomistic Neural Network Potentials: The Impact of Cutoff Radius and Message Passing
Junfan Xia, Yaolong Zhang, Bin Jiang
The Journal of Physical Chemistry A (2023) Vol. 127, Iss. 46, pp. 9874-9883
Closed Access | Times Cited: 7
Nonadiabatic Derivative Couplings Calculated Using Information of Potential Energy Surfaces without Wavefunctions: Ab Initio and Machine Learning Implementations
Wen‐Kai Chen, Shengrui Wang, Xiangyang Liu, et al.
Molecules (2023) Vol. 28, Iss. 10, pp. 4222-4222
Open Access | Times Cited: 5
Direct or Precursor-Mediated? Mechanisms for Methane Dissociation on Pt(110)-(2 × 1) at Both Low and High Incidence Energies
Fenfei Wei, Sen Lin, Hua Guo
JACS Au (2023) Vol. 3, Iss. 10, pp. 2835-2843
Open Access | Times Cited: 4
Theoretical Insights into Structure Sensitivity in Formate Decomposition Dynamics on Cu Surfaces
Rongrong Yin, Junfan Xia, Bin Jiang, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 14103-14111
Closed Access | Times Cited: 4
Simple and Efficient Equivariant Message-Passing Neural Network Model for Non-local Potential Energy Surfaces
Y. Wu, Junfan Xia, Yaolong Zhang, et al.
The Journal of Physical Chemistry A (2024)
Closed Access | Times Cited: 1
Rotationally Inelastic Scattering Dynamics of NO from Ag(111): Influence of Interaction Potentials
Yanwei Wang, Rongrong Yin, Bin Jiang
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 25, pp. 11966-11977
Closed Access | Times Cited: 3
Machine Learning of Reactive Potentials
Yinuo Yang, Shuhao Zhang, Kavindri Ranasinghe, et al.
(2023)
Open Access | Times Cited: 2
Machine learning molecular dynamics simulations of liquid methanol
Jie Qian, Junfan Xia, Bin Jiang
JUSTC (2024) Vol. 54, Iss. 6, pp. 0603-0603
Closed Access
Universal Machine Learning for the Response of Atomistic Systems to External Fields
Yaolong Zhang, Bin Jiang
arXiv (Cornell University) (2023)
Open Access
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