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:
ConfSolv: Prediction of Solute Conformer-Free Energies across a Range of Solvents
Lagnajit Pattanaik, Angiras Menon, Volker Settels, et al.
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 47, pp. 10151-10170
Closed Access | Times Cited: 9
Lagnajit Pattanaik, Angiras Menon, Volker Settels, et al.
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 47, pp. 10151-10170
Closed Access | Times Cited: 9
Showing 9 citing articles:
Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates
Yunsie Chung, William H. Green
Chemical Science (2024) Vol. 15, Iss. 7, pp. 2410-2424
Open Access | Times Cited: 11
Yunsie Chung, William H. Green
Chemical Science (2024) Vol. 15, Iss. 7, pp. 2410-2424
Open Access | Times Cited: 11
Physics-Based Machine Learning to Predict Hydration Free Energies for Small Molecules with a Minimal Number of Descriptors: Interpretable and Accurate
Ajeet Kumar Yadav, Meher K. Prakash, Pradipta Bandyopadhyay
The Journal of Physical Chemistry B (2025)
Closed Access
Ajeet Kumar Yadav, Meher K. Prakash, Pradipta Bandyopadhyay
The Journal of Physical Chemistry B (2025)
Closed Access
Perspective on Automated Predictive Kinetics using Estimates derived from Large Datasets
William H. Green
(2024)
Open Access | Times Cited: 1
William H. Green
(2024)
Open 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 B (2024) Vol. 128, Iss. 27, pp. 6435-6438
Closed Access | Times Cited: 1
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 27, pp. 6435-6438
Closed Access | Times Cited: 1
Perspective on automated predictive kinetics using estimates derived from large datasets
William H. Green
International Journal of Chemical Kinetics (2024)
Open Access
William H. Green
International Journal of Chemical Kinetics (2024)
Open Access
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
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
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 27, pp. 11079-11082
Closed Access
Accurately Predicting Barrier Heights for Radical Reactions in Solution Using Deep Graph Networks
Kevin Spiekermann, Xiaorui Dong, Angiras Menon, et al.
The Journal of Physical Chemistry A (2024)
Closed Access
Kevin Spiekermann, Xiaorui Dong, Angiras Menon, et al.
The Journal of Physical Chemistry A (2024)
Closed Access
Jonathan W. Zheng, Emad Al Ibrahim, Ivari Kaljurand, et al.
Journal of Computational Chemistry (2024) Vol. 46, Iss. 1
Open Access
