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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:

Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction
Tianzhixi Yin, Gihan Panapitiya, Elizabeth Coda, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

Enhancing uncertainty quantification in drug discovery with censored regression labels
Emma Svensson, Hannah Rosa Friesacher, Susanne Winiwarter, et al.
Artificial Intelligence in the Life Sciences (2025), pp. 100128-100128
Open Access
Achieving well-informed decision-making in drug discovery: a comprehensive calibration study using neural network-based structure-activity models
Hannah Rosa Friesacher, Ola Engkvist, Lewis Mervin, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Uncertainty quantification for molecular property predictions with graph neural architecture search
Shengli Jiang, Shiyi Qin, Reid C. Van Lehn, et al.
Digital Discovery (2024) Vol. 3, Iss. 8, pp. 1534-1553
Open Access | Times Cited: 4
Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system
Ying Yu, Md. Mahjib Hossain, Rabbi Sikder, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175573-175573
Closed Access | Times Cited: 4
iSKIN: Integrated application of machine learning and Mondrian conformal prediction to detect skin sensitizers in cosmetic raw materials
Weikaixin Kong, Jie Zhu, Peipei Shan, et al.
SmartMat (2024)
Open Access | Times Cited: 3
Traversing chemical space with active deep learning for low-data drug discovery
Derek van Tilborg, Francesca Grisoni
Nature Computational Science (2024)
Closed Access | Times Cited: 3
Traversing Chemical Space with Active Deep Learning: A Computational Framework for Low-data Drug Discovery
Derek van Tilborg, Francesca Grisoni
(2024)
Open Access | Times Cited: 2
Enhanced Machine Learning Molecular Simulations for optimization of flotation selectivity: A perspective paper
David Dell’Angelo, Yann Foucaud, Júlio De Mesquita, et al.
Minerals Engineering (2024) Vol. 218, pp. 109016-109016
Open Access | Times Cited: 2
Accelerating Polymer Discovery with Uncertainty-Guided PGCNN: Explainable AI for Predicting Properties and Mechanistic Insights
Shuyu Wang, Hongxing Yue, Xiaoming Yuan
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5500-5509
Closed Access | Times Cited: 1
Electronic structure simulations in the cloud computing environment
Eric J. Bylaska, Ajay Panyala, Nicholas P. Bauman, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 15
Open Access | Times Cited: 1
Traversing Chemical Space with Active Deep Learning
Derek van Tilborg, Francesca Grisoni
(2023)
Open Access | Times Cited: 3
Temporal Evaluation of Uncertainty Quantification Under Distribution Shift
Emma Svensson, Hannah Rosa Friesacher, Ádám Arany, et al.
Lecture notes in computer science (2024), pp. 132-148
Open Access
Challenges and opportunities in Machine learning for bioenergy crop yield Prediction: A review
Joseph Lepnaan Dayil, Olugbenga Akande, Alaa El Din Mahmoud, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 73, pp. 104057-104057
Closed Access
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