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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:

Holistic prediction of enantioselectivity in asymmetric catalysis
Jolene P. Reid, Matthew S. Sigman
Nature (2019) Vol. 571, Iss. 7765, pp. 343-348
Open Access | Times Cited: 301

Showing 1-25 of 301 citing articles:

Interpretable machine learning for knowledge generation in heterogeneous catalysis
Jacques A. Esterhuizen, Bryan R. Goldsmith, Suljo Linic
Nature Catalysis (2022) Vol. 5, Iss. 3, pp. 175-184
Closed Access | Times Cited: 254
Autonomous Discovery in the Chemical Sciences Part II: Outlook
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
Angewandte Chemie International Edition (2019) Vol. 59, Iss. 52, pp. 23414-23436
Open Access | Times Cited: 238
A Structure-Based Platform for Predicting Chemical Reactivity
Frederik Sandfort, Felix Strieth‐Kalthoff, Marius Kühnemund, et al.
Chem (2020) Vol. 6, Iss. 6, pp. 1379-1390
Open Access | Times Cited: 204
Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
John A. Keith, Valentín Vassilev-Galindo, Bingqing Cheng, et al.
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 9816-9872
Open Access | Times Cited: 180
Autonomous Discovery in the Chemical Sciences Part I: Progress
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
Angewandte Chemie International Edition (2019) Vol. 59, Iss. 51, pp. 22858-22893
Open Access | Times Cited: 175
Machine Learning in Catalysis, From Proposal to Practicing
Wenhong Yang, Timothy Tizhe Fidelis, Wen‐Hua Sun
ACS Omega (2019) Vol. 5, Iss. 1, pp. 83-88
Open Access | Times Cited: 161
Organic reactivity from mechanism to machine learning
Kjell Jorner, Anna Tomberg, Christoph Bauer, et al.
Nature Reviews Chemistry (2021) Vol. 5, Iss. 4, pp. 240-255
Closed Access | Times Cited: 145
Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies
Kjell Jorner, Tore Brinck, Per‐Ola Norrby, et al.
Chemical Science (2020) Vol. 12, Iss. 3, pp. 1163-1175
Open Access | Times Cited: 144
Photomediated ring contraction of saturated heterocycles
Justin Jurczyk, Michaelyn C. Lux, Donovon A. Adpressa, et al.
Science (2021) Vol. 373, Iss. 6558, pp. 1004-1012
Open Access | Times Cited: 142
MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning**
Yi Luo, Saientan Bag, Orysia Zaremba, et al.
Angewandte Chemie International Edition (2022) Vol. 61, Iss. 19
Open Access | Times Cited: 137
Automation and computer-assisted planning for chemical synthesis
Yuning Shen, Julia E. Borowski, Melissa A. Hardy, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Closed Access | Times Cited: 132
Accelerated dinuclear palladium catalyst identification through unsupervised machine learning
Julian A. Hueffel, Theresa Sperger, Ignacio Funes‐Ardoiz, et al.
Science (2021) Vol. 374, Iss. 6571, pp. 1134-1140
Closed Access | Times Cited: 114
Importance of Engineered and Learned Molecular Representations in Predicting Organic Reactivity, Selectivity, and Chemical Properties
Liliana C. Gallegos, Guilian Luchini, Peter C. St. John, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 4, pp. 827-836
Closed Access | Times Cited: 104
Evaluation guidelines for machine learning tools in the chemical sciences
Andreas Bender, Nadine Schneider, Marwin Segler, et al.
Nature Reviews Chemistry (2022) Vol. 6, Iss. 6, pp. 428-442
Closed Access | Times Cited: 104
Active learning guides discovery of a champion four-metal perovskite oxide for oxygen evolution electrocatalysis
Junseok Moon, Wiktor Beker, Marta Siek, et al.
Nature Materials (2023) Vol. 23, Iss. 1, pp. 108-115
Closed Access | Times Cited: 51
Enantioselectivity prediction of pallada-electrocatalysed C–H activation using transition state knowledge in machine learning
Li‐Cheng Xu, Johanna Frey, Xiaoyan Hou, et al.
Nature Synthesis (2023) Vol. 2, Iss. 4, pp. 321-330
Closed Access | Times Cited: 48
Design of functional binders for high-specific-energy lithium-ion batteries: from molecular structure to electrode properties
Qin Tian, Haoyi Yang, Quan Li, et al.
Industrial Chemistry and Materials (2023) Vol. 2, Iss. 2, pp. 191-225
Open Access | Times Cited: 42
Predicting success in Cu-catalyzed C–N coupling reactions using data science
Mohammad H. Samha, Lucas J. Karas, David B. Vogt, et al.
Science Advances (2024) Vol. 10, Iss. 3
Open Access | Times Cited: 19
Probing the chemical ‘reactome’ with high-throughput experimentation data
Emma King‐Smith, Simon Berritt, Louise Bernier, et al.
Nature Chemistry (2024) Vol. 16, Iss. 4, pp. 633-643
Open Access | Times Cited: 16
Applying statistical modeling strategies to sparse datasets in synthetic chemistry
Brittany C. Haas, Dipannita Kalyani, Matthew S. Sigman
Science Advances (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 3
Designing Target-specific Data Sets for Regioselectivity Predictions on Complex Substrates
Jules Schleinitz, Alba Carretero‐Cerdán, Anjali Gurajapu, et al.
Journal of the American Chemical Society (2025) Vol. 147, Iss. 9, pp. 7476-7484
Open Access | Times Cited: 2
Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors
Yanfei Guan, Connor W. Coley, Haoyang Wu, et al.
Chemical Science (2020) Vol. 12, Iss. 6, pp. 2198-2208
Open Access | Times Cited: 108
Striding the threshold of an atom era of organic synthesis by single-atom catalysis
Wenhao Li, Jiarui Yang, Dingsheng Wang, et al.
Chem (2021) Vol. 8, Iss. 1, pp. 119-140
Open Access | Times Cited: 103
A map of the amine–carboxylic acid coupling system
Babak Mahjour, Yuning Shen, Wenbo Liu, et al.
Nature (2020) Vol. 580, Iss. 7801, pp. 71-75
Closed Access | Times Cited: 99
Molecular Representation: Going Long on Fingerprints
Lagnajit Pattanaik, Connor W. Coley
Chem (2020) Vol. 6, Iss. 6, pp. 1204-1207
Open Access | Times Cited: 90
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