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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:

Exploration and Evaluation of Machine Learning-Based Models for Predicting Enzymatic Reactions
Naoki Watanabe, Masahiro Murata, Teppei Ogawa, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 3, pp. 1833-1843
Closed Access | Times Cited: 20

Showing 20 citing articles:

Machine Learning for Electronically Excited States of Molecules
Julia Westermayr, Philipp Marquetand
Chemical Reviews (2020) Vol. 121, Iss. 16, pp. 9873-9926
Open Access | Times Cited: 343
Functional annotation of enzyme-encoding genes using deep learning with transformer layers
Gi Bae Kim, Ji Yeon Kim, Jong An Lee, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 53
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: 21
Artificial Intelligence Aided Lipase Production and Engineering for Enzymatic Performance Improvement
Feiyin Ge, Gang Chen, Minjing Qian, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 41, pp. 14911-14930
Closed Access | Times Cited: 19
Machine Learning: A Suitable Method for Biocatalysis
Pedro Sampaio, Pedro Fernandes
Catalysts (2023) Vol. 13, Iss. 6, pp. 961-961
Open Access | Times Cited: 17
Design and Construction of Artificial Biological Systems for One-Carbon Utilization
Wei Zhong, Hailong Li, Yajie Wang
BioDesign Research (2023) Vol. 5
Open Access | Times Cited: 15
Machine learning discovery of missing links that mediate alternative branches to plant alkaloids
Christopher J. Vavricka, Shunsuke Takahashi, Naoki Watanabe, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 20
Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach
Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, et al.
Genes (2022) Vol. 14, Iss. 1, pp. 71-71
Open Access | Times Cited: 18
New Trends in Bioremediation Technologies Toward Environment-Friendly Society: A Mini-Review
Kunal Dutta, Sergey Shityakov, Ibrahim Khalifa
Frontiers in Bioengineering and Biotechnology (2021) Vol. 9
Open Access | Times Cited: 19
Comprehensive Machine Learning Prediction of Extensive Enzymatic Reactions
Naoki Watanabe, Masaki Yamamoto, Masahiro Murata, et al.
The Journal of Physical Chemistry B (2022) Vol. 126, Iss. 36, pp. 6762-6770
Closed Access | Times Cited: 10
Prediction of Enzyme Catalysis by Computing Reaction Energy Barriers via Steered QM/MM Molecular Dynamics Simulations and Machine Learning
Daniel Platero-Rochart, Tatyana Krivobokova, Michael Gastegger, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4623-4632
Closed Access | Times Cited: 6
Enzyme Substrate Prediction from Three-Dimensional Feature Representations Using Space-Filling Curves
Dmitrij Rappoport, Adrián Jinich
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1637-1648
Open Access | Times Cited: 5
Advancements in Microbial Cell Engineering for Benzylisoquinoline Alkaloid Production
Liyan Cao, Desmond Teo, Yuyang Wang, et al.
ACS Synthetic Biology (2024)
Closed Access | Times Cited: 1
EHreact: Extended Hasse Diagrams for the Extraction and Scoring of Enzymatic Reaction Templates
Esther Heid, Samuel Goldman, Karthik Sankaranarayanan, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 10, pp. 4949-4961
Open Access | Times Cited: 9
EnzyMine: a comprehensive database for enzyme function annotation with enzymatic reaction chemical feature
Dandan Sun, Xingxiang Cheng, Yu Tian, et al.
Database (2020) Vol. 2023
Open Access | Times Cited: 9
Protein Function Prediction from Three-Dimensional Feature Representations Using Space-Filling Curves
Dmitrij Rappoport, Adrián Jinich
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Prediction of enzyme catalysis by computing reaction energy barriers via steered QM/MM Molecular Dynamics Simulations and Machine Learning
Daniel Platero-Rochart, Tatyana Krivobokova, Michael Gastegger, et al.
(2023)
Open Access
EZYDeep: A Deep Learning Tool for Enzyme Function Prediction based on Sequence Information
Khaled Boulahrouf, Salah Eddine Aliouane, Hamza Chehili, et al.
The Open Bioinformatics Journal (2023) Vol. 16, Iss. 1
Open Access
Short-Term Stock Price Prediction Algorithm Construction Based on Integrated Learning of SVR and RF with Bagging
Yiqing Liu, Ayiken Ayitelieke, Jiayi Yu
Highlights in Science Engineering and Technology (2022) Vol. 22, pp. 8-15
Closed Access
Machine learning discovery of missing links that mediate alternative branches to plant alkaloids
Christopher J. Vavricka, Shunsuke Takahashi, Naoki Watanabe, et al.
Research Square (Research Square) (2021)
Open Access
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