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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:

Chemical Properties from Graph Neural Network-Predicted Electron Densities
Ethan M. Sunshine, Muhammed Shuaibi, Zachary W. Ulissi, et al.
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 48, pp. 23459-23466
Open Access | Times Cited: 11

Showing 11 citing articles:

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
PACMAN: A Robust Partial Atomic Charge Predicter for Nanoporous Materials Based on Crystal Graph Convolution Networks
Guobin Zhao, Yongchul G. Chung
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 12, pp. 5368-5380
Closed Access | Times Cited: 5
Prediction of electronic density of states in guanine-TiO2 adsorption model based on machine learning
Yarkın A. Çetin, Benjamí Martorell, Francesc Serratosa
Deleted Journal (2024) Vol. 1, pp. 100008-100008
Open Access | Times Cited: 3
Higher-order equivariant neural networks for charge density prediction in materials
Thomas Edward Koker, Keegan Quigley, Eric Taw, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Overcoming the Chemical Complexity Bottleneck in on-the-Fly Machine Learned Molecular Dynamics Simulations
Lucas R. Timmerman, Shashikant Kumar, Phanish Suryanarayana, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 14, pp. 5788-5795
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
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
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
Application of graph neural network in computational heterogeneous catalysis
Zihao Jiao, Ya Liu, Ziyun Wang
The Journal of Chemical Physics (2024) Vol. 161, Iss. 17
Closed Access
Embedding material graphs using the electron-ion potential: application to material fracture
Sherif Abdulkader Tawfik, Tri Minh Nguyen, Salvy P. Russo, et al.
Digital Discovery (2024)
Open Access
Covariant Jacobi-Legendre expansion for total energy calculations within the projector augmented wave formalism
Bruno Focassio, Michelangelo Domina, Urvesh Patil, et al.
Physical review. B./Physical review. B (2024) Vol. 110, Iss. 18
Open Access
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