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:

When Do Quantum Mechanical Descriptors Help Graph Neural Networks to Predict Chemical Properties?
Shih‐Cheng Li, Haoyang Wu, Angiras Menon, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 33, pp. 23103-23120
Closed Access | Times Cited: 7

Showing 7 citing articles:

Machine Learning for Reaction Performance Prediction in Allylic Substitution Enhanced by Automatic Extraction of a Substrate-Aware Descriptor
Gufeng Yu, Xi Wang, Yugong Luo, et al.
Journal of Chemical Information and Modeling (2025) Vol. 65, Iss. 1, pp. 312-325
Closed Access

Enhancing Activation Energy Predictions under Data Constraints Using Graph Neural Networks
Han-Chung Chang, Ming‐Hsuan Tsai, Yi‐Pei Li
Journal of Chemical Information and Modeling (2025)
Open Access

Unveiling high-performance hosts for blue OLEDs via deep learning and high-throughput virtual screening
Sunghyuck An, Young Hun Jung, Gunwook Nam, et al.
Chemical Engineering Journal (2025), pp. 159697-159697
Closed Access

Machine learning-guided strategies for reaction conditions design and optimization
Lung-Yi Chen, Yi‐Pei Li
Beilstein Journal of Organic Chemistry (2024) Vol. 20, pp. 2476-2492
Open Access | Times Cited: 4

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: 2

Molecular Design for Cardiac Cell Differentiation Using a Small Data Set and Decorated Shape Features
Fatemeh Etezadi, Shunichi Ito, Kosuke Yasui, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 23, pp. 8824-8837
Closed Access

Advancing vapor pressure prediction: A machine learning approach with directed message passing neural networks
Yen-Hsiang Lin, Hsin-Hao Liang, Shiang‐Tai Lin, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024), pp. 105926-105926
Closed Access

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