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:

Collaboration on Machine-Learned Potentials with IPSuite: A Modular Framework for Learning-on-the-Fly
Fabian Zills, Moritz R. Schäfer, Nico Segreto, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 15, pp. 3662-3676
Closed Access | Times Cited: 5

Showing 5 citing articles:

Machine learning-driven investigation of the structure and dynamics of the BMIM-BF4 room temperature ionic liquid
Fabian Zills, Moritz R. Schäfer, Samuel Tovey, et al.
Faraday Discussions (2024) Vol. 253, pp. 129-145
Open Access | Times Cited: 3

Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 27, pp. 6435-6438
Closed Access | Times Cited: 1

Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 27, pp. 5225-5228
Closed Access

Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 27, pp. 11079-11082
Closed Access

CatFlow: An Automated Workflow for Training Machine Learning Potentials to Compute Free Energies in Dynamic Catalysis
Yun‐Pei Liu, Qi-Yuan Fan, Fu‐Qiang Gong, et al.
The Journal of Physical Chemistry C (2024)
Closed Access

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