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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:

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

Showing 23 citing articles:

Determining Rate Coefficients for the 11-Atom Reaction via Ring Polymer Molecular Dynamics Based on a 27-Dimensional Potential Energy Surface: The Reaction between anti-CH3CHOO and H2O
Lijie Liu, Yanlin Fu, Hao Wu, et al.
The Journal of Physical Chemistry Letters (2025), pp. 460-467
Closed Access | Times Cited: 2
No Headache for PIPs: A PIP Potential for Aspirin Runs Much Faster and with Similar Precision Than Other Machine-Learned Potentials
Paul L. Houston, Chen Qu, Qi Yu, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 8, pp. 3008-3018
Open Access | Times Cited: 9
New Algorithms to Generate Permutationally Invariant Polynomials and Fundamental Invariants for Potential Energy Surface Fitting
Yiping Hao, Xiaoxiao Lu, Bina Fu, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access | Times Cited: 1
Targeted Transferable Machine-Learned Potential for Linear Alkanes Trained on C14H30 and Tested for C4H10 to C30H62
Chen Qu, Paul L. Houston, Thomas C. Allison, et al.
Journal of Chemical Theory and Computation (2025)
Open Access | Times Cited: 1
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
How Microsolvation Affects the Balance of Atomic Level Mechanism in Substitution and Elimination Reactions: Insights into the Role of Solvent Molecules in Inducing Mechanistic Transitions
Gang Fu, Hongyi Wang, Wenqing Zhen, et al.
Molecules (2025) Vol. 30, Iss. 3, pp. 496-496
Open Access
Dual-Level Parametrically Managed Neural Network Method for Learning a Potential Energy Surface for Efficient Dynamics
Suman Bhaumik, Dayou Zhang, Yinan Shu, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access
Revealing a Heavy-Atom Assisted Rotation Mechanism in the H + NH2Cl Multi-Channel Reaction
Y Chen, Zhao Tu, Jiaqi Li, et al.
The Journal of Physical Chemistry A (2025)
Closed Access
Exclusive roaming mechanism for the Cl + C2H2→C2H + HCl bimolecular reaction
Yuyao Bai, Yanlin Fu, Jianjun Qi, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Rovibrational quenching calculations of C2− in collision with H2
Kousik Giri, Barry P. Mant, F. A. Gianturco, et al.
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 3
Open Access
Extending atomic decomposition and many-body representation with a chemistry-motivated approach to machine learning potentials
Qi Yu, Ruitao Ma, Chen Qu, et al.
Nature Computational Science (2025)
Closed Access
The evolution of machine learning potentials for molecules, reactions and materials
Junfan Xia, Yaolong Zhang, Bin Jiang
Chemical Society Reviews (2025)
Open Access
Reactivity of syn-CH3CHOO with H2O enhanced through a roaming mechanism in the entrance channel
Yiqiang Liu, Lijie Liu, Yanlin Fu, et al.
Nature Chemistry (2025)
Closed Access
OH Roaming as a Key Pathway in the Anti-CH3CHOO + H2O Reaction Yielding CH3COOH and H2O
Lijie Liu, Hao Wu, Yanlin Fu, et al.
The Journal of Physical Chemistry A (2025)
Closed Access
A perspective marking 20 years of using permutationally invariant polynomials for molecular potentials
Joel M. Bowman, Chen Qu, Riccardo Conte, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 18
Closed Access
Supercollisions of NaCl + NaCl on an Accurate Full-Dimensional Potential Energy Surface
Tianze Peng, Yuyao Bai, Jianjun Qi, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 12, pp. 2330-2338
Closed Access | Times Cited: 1
Numerical Accuracy Matters: Applications of Machine Learned Potential Energy Surfaces
Silvan Käser, Markus Meuwly
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 12, pp. 3419-3424
Open Access | Times Cited: 1
Accurate neural-network-based fitting of full-dimensional N 2 –Ar and N 2 –CH 4 two-body potential energy surfaces aimed at spectral simulations
Artem A. Finenko
Molecular Physics (2024)
Closed Access | Times Cited: 1
A Globally Accurate Neural Network Potential Energy Surface and Quantum Dynamics Studies on Be+(2S) + H2/D2 → BeH+/BeD+ + H/D Reactions
Zijiang Yang, Furong Cao, Huiying Cheng, et al.
Molecules (2024) Vol. 29, Iss. 14, pp. 3436-3436
Open Access | Times Cited: 1
Fundamental Invariant Neural Network (FI-NN) Potential Energy Surface for the OH + CH3OH Reaction with Analytical Forces
K. Song, Jun Li
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 32, pp. 6636-6647
Closed Access | Times Cited: 1
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
Automated learning data-driven potential models for spectroscopic characterization of astrophysical interest noble gas-containing NgH2+ molecules
María Judit Montes de Oca‐Estévez, Rita Prosmiti
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100059-100059
Open Access
Ab Initio Neural Network Potential Energy Surface and Quantum Dynamics Calculations on Na(2S) + H2 → NaH + H Reaction
Siwen Liu, Huiying Cheng, Furong Cao, et al.
Molecules (2024) Vol. 29, Iss. 20, pp. 4871-4871
Open Access
Multidimensional Neural Network Interatomic Potentials for CO on NaCl(100)
Shreya Sinha, Bruno Mladineo, Ivor Lončarić, et al.
The Journal of Physical Chemistry C (2024)
Open Access
Preface: paving the road for AI in molecular sciences
Yi Qin Gao
National Science Review (2023) Vol. 10, Iss. 12
Open Access
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