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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:

Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development
Daniel J. Griffin, Connor W. Coley, Scott A. Frank, et al.
Organic Process Research & Development (2023) Vol. 27, Iss. 11, pp. 1868-1879
Open Access | Times Cited: 12

Showing 12 citing articles:

Continuous flow synthesis enabling reaction discovery
Antonella Ilenia Alfano, Jorge García‐Lacuna, Oliver Griffiths, et al.
Chemical Science (2024) Vol. 15, Iss. 13, pp. 4618-4630
Open Access | Times Cited: 14
Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
George Obaido, Ibomoiye Domor Mienye, Oluwaseun Francis Egbelowo, et al.
Machine Learning with Applications (2024) Vol. 17, pp. 100576-100576
Open Access | Times Cited: 10
Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam
Beilstein Journal of Organic Chemistry (2025) Vol. 21, pp. 10-38
Open Access
Challenges and opportunities for computer-aided molecular and process design approaches in advancing sustainable pharmaceutical manufacturing
Claire S. Adjiman, Amparo Galindo
Current Opinion in Chemical Engineering (2025) Vol. 47, pp. 101073-101073
Open Access
Accelerated end-to-end chemical synthesis development with large language models
Yixiang Ruan, Chenyin Lu, Ning Xu, et al.
(2024)
Open Access | Times Cited: 5
In Silico Prediction of Pharmaceutical Degradation Pathways: A Benchmarking Study Using the Software Program Zeneth
Rachel Hemingway, Steven W. Baertschi, David Benstead, et al.
Organic Process Research & Development (2024) Vol. 28, Iss. 3, pp. 674-692
Open Access | Times Cited: 4
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: 3
Bayesian data-driven models for pharmaceutical process development
Hochan Chang, Nathan Domagalski, José E. Tábora, et al.
Current Opinion in Chemical Engineering (2024) Vol. 45, pp. 101034-101034
Closed Access | Times Cited: 1
An automatic end-to-end chemical synthesis development platform powered by large language models
Yixiang Ruan, Chenyin Lu, Ning Xu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Chemistry in a graph: modern insights into commercial organic synthesis planning
Claudio Ávila, Adam West, Anna Chiara Vicini, et al.
Digital Discovery (2024) Vol. 3, Iss. 9, pp. 1682-1694
Open Access
The ReactALL Platform: Experimental Data and Case Studies
Joel M. Hawkins, David M. Pfisterer, Russell F. Algera, et al.
Organic Process Research & Development (2024) Vol. 28, Iss. 9, pp. 3637-3644
Closed Access
Process analytics for the manufacturing of nanomedicines: Challenges and opportunities
N. Aguiam, Liane I.F. Moura, M.I.L.L. Oliveira, et al.
Elsevier eBooks (2024), pp. 169-203
Closed Access
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