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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:

Machine Learning Identifies Chemical Characteristics That Promote Enzyme Catalysis
Brian M. Bonk, James W. Weis, Bruce Tidor
Journal of the American Chemical Society (2019) Vol. 141, Iss. 9, pp. 4108-4118
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Machine Learning for Chemical Reactions
Markus Meuwly
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 10218-10239
Closed Access | Times Cited: 289
Machine-Learning-Driven Synthesis of Carbon Dots with Enhanced Quantum Yields
Yu Han, Bijun Tang, Liang Wang, et al.
ACS Nano (2020) Vol. 14, Iss. 11, pp. 14761-14768
Open Access | Times Cited: 179
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
Daniel Rangel-Martinez, K.D.P. Nigam, Luis Ricardez‐Sandoval
Process Safety and Environmental Protection (2021) Vol. 174, pp. 414-441
Closed Access | Times Cited: 161
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 65
Biosystems Design by Machine Learning
Michael Volk, Ismini Lourentzou, Shekhar Mishra, et al.
ACS Synthetic Biology (2020) Vol. 9, Iss. 7, pp. 1514-1533
Closed Access | Times Cited: 104
Mimicking Enzymes: The Quest for Powerful Catalysts from Simple Molecules to Nanozymes
Yanchao Lyu, Paolo Scrimin
ACS Catalysis (2021) Vol. 11, Iss. 18, pp. 11501-11509
Open Access | Times Cited: 74
Harder, better, faster, stronger: Large-scale QM and QM/MM for predictive modeling in enzymes and proteins
Vyshnavi Vennelakanti, Azadeh Nazemi, Rimsha Mehmood, et al.
Current Opinion in Structural Biology (2021) Vol. 72, pp. 9-17
Open Access | Times Cited: 60
High-throughput screening, next generation sequencing and machine learning: advanced methods in enzyme engineering
Rosario Vanella, Gordana Kovačević, Vanni Doffini, et al.
Chemical Communications (2022) Vol. 58, Iss. 15, pp. 2455-2467
Open Access | Times Cited: 52
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
Practical Machine Learning-Assisted Design Protocol for Protein Engineering: Transaminase Engineering for the Conversion of Bulky Substrates
Marian J. Menke, Yu‐Fei Ao, Uwe T. Bornscheuer
ACS Catalysis (2024) Vol. 14, Iss. 9, pp. 6462-6469
Closed Access | Times Cited: 7
Stereochemistry in Asymmetric Reduction of Bulky–Bulky Ketones by Alcohol Dehydrogenases
Jieyu Zhou, Guochao Xu, Ye Ni
ACS Catalysis (2020) Vol. 10, Iss. 19, pp. 10954-10966
Closed Access | Times Cited: 56
Directed evolution for enzyme development in biocatalysis
Serena Gargiulo, Patrice Soumillion
Current Opinion in Chemical Biology (2020) Vol. 61, pp. 107-113
Closed Access | Times Cited: 53
High-throughput Synthesis and Screening of Iridium(III) Photocatalysts for the Fast and Chemoselective Dehalogenation of Aryl Bromides
Velabo Mdluli, Stephen DiLuzio, Jacqueline Lewis, et al.
ACS Catalysis (2020) Vol. 10, Iss. 13, pp. 6977-6987
Closed Access | Times Cited: 48
Machine Learning Assisted Graphdiyne-Based Nanozyme Discovery
Yixin Yu, Yujie Jiang, Chaohui Zhang, et al.
ACS Materials Letters (2022) Vol. 4, Iss. 11, pp. 2134-2142
Closed Access | Times Cited: 28
Bioprospecting of microbial enzymes: current trends in industry and healthcare
Eswar Rao Tatta, Madangchanok Imchen, Jamseel Moopantakath, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 5-6, pp. 1813-1835
Closed Access | Times Cited: 26
Structure‐ and Data‐Driven Protein Engineering of Transaminases for Improving Activity and Stereoselectivity
Yu‐Fei Ao, Shuxin Pei, Chao Xiang, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 23
Open Access | Times Cited: 17
Machine learning facilitating the rational design of nanozymes
Yucong Li, Ruofei Zhang, Xiyun Yan, et al.
Journal of Materials Chemistry B (2023) Vol. 11, Iss. 28, pp. 6466-6477
Closed Access | Times Cited: 16
Research progress of engineering microbial cell factories for pigment production
Shumin Xu, Song Gao, Yingfeng An
Biotechnology Advances (2023) Vol. 65, pp. 108150-108150
Closed Access | Times Cited: 14
Recent progress on discovery and properties prediction of energy materials: Simple machine learning meets complex quantum chemistry
Yongqiang Kang, Lejing Li, Baohua Li
Journal of Energy Chemistry (2020) Vol. 54, pp. 72-88
Closed Access | Times Cited: 45
Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO2 nanoparticles
Francesco Pellegrino, Raluca Isopescu, Letizia Pellutiè, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 38
Practical guide to replica exchange transition interface sampling and forward flux sampling
Steven W. Hall, Grisell Díaz Leines, Sapna Sarupria, et al.
The Journal of Chemical Physics (2022) Vol. 156, Iss. 20
Open Access | Times Cited: 24
Data-driven design of dual-metal-site catalysts for the electrochemical carbon dioxide reduction reaction
Haisong Feng, Hu Ding, Peinan He, et al.
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 36, pp. 18803-18811
Closed Access | Times Cited: 23
An exploration of machine learning models for the determination of reaction coordinates associated with conformational transitions
Nawavi Naleem, Charlles R. A. Abreu, Krzysztof Warmuz, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 3
Open Access | Times Cited: 11
Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: Paradigms, applications and prospects
Wentao Zhang, Wenguang Huang, Jie Tan, et al.
Chemosphere (2022) Vol. 308, pp. 136447-136447
Closed Access | Times Cited: 19
Machine-learning analysis to predict the fluorescence quantum yield of carbon quantum dots in biochar
Jiao Chen, Mengqian Zhang, Zijun Xu, et al.
The Science of The Total Environment (2023) Vol. 896, pp. 165136-165136
Closed Access | Times Cited: 10
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