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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:

Lifelong Machine Learning Potentials
Marco Eckhoff, Markus Reiher
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 12, pp. 3509-3525
Open Access | Times Cited: 23

Showing 23 citing articles:

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential
Shuhao Zhang, Małgorzata Z. Makoś, Ryan B. Jadrich, et al.
Nature Chemistry (2024) Vol. 16, Iss. 5, pp. 727-734
Open Access | Times Cited: 52
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
Data Generation for Machine Learning Interatomic Potentials and Beyond
Maksim Kulichenko, Benjamin Nebgen, Nicholas Lubbers, et al.
Chemical Reviews (2024) Vol. 124, Iss. 24, pp. 13681-13714
Closed Access | Times Cited: 17
Paving the road towards automated homogeneous catalyst design
Adarsh V. Kalikadien, A.H. Mirza, Aydin Najl Hossaini, et al.
ChemPlusChem (2024) Vol. 89, Iss. 7
Open Access | Times Cited: 14
A human-machine interface for automatic exploration of chemical reaction networks
Miguel Steiner, Markus Reiher
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
SCINE—Software for chemical interaction networks
Thomas Weymuth, Jan P. Unsleber, Paul L. Türtscher, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 22
Open Access | Times Cited: 8
Quantum chemical package Jaguar: A survey of recent developments and unique features
Yixiang Cao, Ty Balduf, Michael D. Beachy, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 5
Closed Access | Times Cited: 8
Opportunities and Challenges in Transformer Neural Networks for Battery State Estimation: Charge, Health, Lifetime, and Safety
Jingyuan Zhao, Xuebing Han, Yuyan Wu, et al.
Journal of Energy Chemistry (2024) Vol. 102, pp. 463-496
Closed Access | Times Cited: 6
FeNNol: An efficient and flexible library for building force-field-enhanced neural network potentials
Thomas Plé, Olivier Adjoua, Louis Lagardère, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 4
Open Access | Times Cited: 5
Nanoscale chemical reaction exploration with a quantum magnifying glass
Katja‐Sophia Csizi, Miguel Steiner, Markus Reiher
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Foundations of molecular dynamics simulations: how and what
Giovanni Ciccotti, Sergio Decherchi, Simone Meloni
Deleted Journal (2025)
Open Access
Efficient Training of Neural Network Potentials for Chemical and Enzymatic Reactions by Continual Learning
Yao-Kun Lei, Kiyoshi Yagi, Yuji Sugita
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
CoRe Optimizer: An All-in-One Solution for Machine Learning
Marco Eckhoff, Markus Reiher
Machine Learning Science and Technology (2024)
Open Access | Times Cited: 2
Reaction Space Charting as a Tool in Organic Chemistry Research and Development
Eloy Lozano Baró, Pau Nadal Rodríguez, Jordi Juárez‐Jiménez, et al.
Advanced Synthesis & Catalysis (2024) Vol. 366, Iss. 4, pp. 551-573
Open Access | Times Cited: 2
Cluster expansion by transfer learning for phase stability predictions
A. Dana, L. Mu, Simon Gelin, et al.
Computational Materials Science (2024) Vol. 242, pp. 113073-113073
Open Access | Times Cited: 1
Unveiling the energetic complexity of noncovalent interactions in halogenated dimers
Fang Liu, Likai Du
International Journal of Quantum Chemistry (2024) Vol. 124, Iss. 14
Closed Access | Times Cited: 1
Navigating chemical reaction space with a steering wheel
Miguel Steiner, Markus Reiher
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Quantum Magnifying Glass for Chemistry at the Nanoscale
Katja‐Sophia Csizi, Miguel Steiner, Markus Reiher
(2023)
Open Access | Times Cited: 3
Machine Learning of Reactive Potentials
Yinuo Yang, Shuhao Zhang, Kavindri Ranasinghe, et al.
(2023)
Open Access | Times Cited: 2
Solving Intractable Chemical Problems by Tensor Decomposition
Nina Glaser, Markus Reiher
CHIMIA International Journal for Chemistry (2024) Vol. 78, Iss. 4, pp. 215-221
Open Access
CoRe Optimizer: An All-in-One Solution for Machine Learning
Marco Eckhoff, Markus Reiher
arXiv (Cornell University) (2023)
Open Access
Quantum Magnifying Glass for Chemistry at the Nanoscale
Markus Reiher, Katja‐Sophia Csizi, Miguel Steiner
Research Square (Research Square) (2023)
Open Access
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