OpenAlex Citation Counts

OpenAlex Citations Logo

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:

HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
Thomas Specht, Mayank Nagda, Sophie Fellenz, et al.
Chemical Science (2024) Vol. 15, Iss. 47, pp. 19777-19786
Open Access | Times Cited: 7

Showing 7 citing articles:

Predicting the temperature-dependent CMC of surfactant mixtures with graph neural networks
Christoforos Brozos, Jan G. Rittig, Elie Akanny, et al.
Computers & Chemical Engineering (2025), pp. 109085-109085
Open Access

Similarity-Informed Matrix Completion Method for Predicting Activity Coefficients
Nicolas Hayer, Thomas Specht, Justus Arweiler, et al.
The Journal of Physical Chemistry A (2025)
Closed Access

Hierarchical matrix completion for the prediction of properties of binary mixtures
Dominik Gond, Jan‐Tobias Sohns, Heike Leitte, et al.
Computers & Chemical Engineering (2025), pp. 109122-109122
Open Access

Pooling solvent mixtures for solvation free energy predictions
Roel J. Leenhouts, Nathan Morgan, Emad Al Ibrahim, et al.
Chemical Engineering Journal (2025), pp. 162232-162232
Open Access

GRAPPA—A hybrid graph neural network for predicting pure component vapor pressures
Marco Hoffmann, Hans Hasse, Fabian Jirasek
Chemical Engineering Journal Advances (2025), pp. 100750-100750
Open Access

Multi-fidelity graph neural networks for predicting toluene/water partition coefficients
Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, et al.
(2024)
Open Access | Times Cited: 3

Advancing thermodynamic group-contribution methods by machine learning: UNIFAC 2.0
Nicolas Hayer, Thorsten Wendel, Stephan Mandt, et al.
Chemical Engineering Journal (2024), pp. 158667-158667
Closed Access | Times Cited: 3

Page 1

Scroll to top