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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:

EnzyKR: a chirality-aware deep learning model for predicting the outcomes of the hydrolase-catalyzed kinetic resolution
Xinchun Ran, Yaoyukun Jiang, Qianzhen Shao, et al.
Chemical Science (2023) Vol. 14, Iss. 43, pp. 12073-12082
Open Access | Times Cited: 11

Showing 11 citing articles:

Navigating the landscape of enzyme design: from molecular simulations to machine learning
Jiahui Zhou, Meilan Huang
Chemical Society Reviews (2024) Vol. 53, Iss. 16, pp. 8202-8239
Open Access | Times Cited: 8
Unlocking the potential of enzyme engineering via rational computational design strategies
Lei Zhou, Chunmeng Tao, Xiaolin Shen, et al.
Biotechnology Advances (2024) Vol. 73, pp. 108376-108376
Closed Access | Times Cited: 7
Enhanced stereodivergent evolution of carboxylesterase for efficient kinetic resolution of near-symmetric esters through machine learning
Guochao Xu, Zhe Dou, Xuanzao Chen, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Protein Representations: Encoding Biological Information for Machine Learning in Biocatalysis
David Harding-Larsen, Jonathan Funk, Niklas Gesmar Madsen, et al.
(2024)
Open Access | Times Cited: 3
Mutexa: A Computational Ecosystem for Intelligent Protein Engineering
Zhongyue Yang, Qianzhen Shao, Yaoyukun Jiang, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 21, pp. 7459-7477
Open Access | Times Cited: 9
Machine learning meets enzyme engineering: examples in the design of polyethylene terephthalate hydrolases
Rohan Ali, Yifei Zhang
Frontiers of Chemical Science and Engineering (2024) Vol. 18, Iss. 12
Closed Access | Times Cited: 1
Protein representations: Encoding biological information for machine learning in biocatalysis
David Harding-Larsen, Jonathan Funk, Niklas Gesmar Madsen, et al.
Biotechnology Advances (2024) Vol. 77, pp. 108459-108459
Closed Access | Times Cited: 1
Enhanced stereodivergent evolution of carboxylesterase for efficient kinetic resolution of near-symmetric esters through machine learning
Zhe Dou, Xuanzao Chen, Ledong Zhu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A center-anchored adaptive hierarchical graph neural network with application in structure-aware recognition of enzyme catalytic specificity
Yi Li, Yahui Liu, Jiaying Hou, et al.
Neurocomputing (2024), pp. 129155-129155
Closed Access
Evaluating advancements and opportunities in electro-assisted biodehalogenation of emerging halogenated contaminants
Zimeng Zhang, Zhiling Li, Jun Nan, et al.
Bioresource Technology (2024), pp. 132011-132011
Closed Access
Mutexa: A Computational Ecosystem for Intelligent Protein Engineering
Zhongyue Yang, Qianzhen Shao, Yaoyukun Jiang, et al.
(2023)
Open Access | Times Cited: 1
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