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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:

Random forest classification for predicting lifespan-extending chemical compounds
Sofia Kapsiani, Brendan J. Howlin
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

The landscape of aging
Yusheng Cai, Wei Song, Jiaming Li, et al.
Science China Life Sciences (2022) Vol. 65, Iss. 12, pp. 2354-2454
Open Access | Times Cited: 243
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
Zhiling Zheng, Oufan Zhang, Christian Borgs, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 32, pp. 18048-18062
Open Access | Times Cited: 237
Discovery of senolytics using machine learning
Vanessa Smer-Barreto, Andrea Quintanilla, Richard Elliott, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 55
Role of Artificial Intelligence in Revolutionizing Drug Discovery
Ashfaq Ur Rehman, Mingyu Li, Binjian Wu, et al.
Fundamental Research (2024)
Open Access | Times Cited: 24
A comprehensive review of external quality measurements of fruits and vegetables using nondestructive sensing technologies
Tanjima Akter, Tanima Bhattacharya, Junghyeon Kim, et al.
Journal of Agriculture and Food Research (2024) Vol. 15, pp. 101068-101068
Open Access | Times Cited: 19
Predictive Minisci late stage functionalization with transfer learning
Emma King‐Smith, Felix A. Faber, Usa Reilly, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors
Adeshina I. Odugbemi, Clement N. Nyirenda, Alan Christoffels, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2964-2977
Open Access | Times Cited: 10
Advanced Feature Analysis for Enhancing Cocrystal Prediction
Alessandro Cossard, Chiara Sabena, Gianluca Bianchini, et al.
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105318-105318
Open Access | Times Cited: 1
A Review on the Recent Applications of Deep Learning in Predictive Drug Toxicological Studies
Krishnendu Sinha, Nabanita Ghosh, Parames C. Sil
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1174-1205
Closed Access | Times Cited: 23
Cross‐sectional analysis reveals autoantibody signatures associated with COVID‐19 severity
G. Baiocchi, Aristo Vojdani, Avi Z. Rosenberg, et al.
Journal of Medical Virology (2023) Vol. 95, Iss. 2
Open Access | Times Cited: 19
Transfer learning for a foundational chemistry model
Emma King‐Smith
Chemical Science (2023) Vol. 15, Iss. 14, pp. 5143-5151
Open Access | Times Cited: 10
Identification of Some α-Glucosidase Inhibitors Using QSAR Modeling Based Drug Repurposing Approach
Dr Sonu, Mohan Lal Kori
Journal of Drug Delivery and Therapeutics (2025) Vol. 15, Iss. 3, pp. 36-52
Open Access
Machine learning-based reduction and unbiased reinforcement learning method for QoS-aware services composition in IoT environments
Nawel Atmani, Mohamed Essaid Khanouche, Ahror Belaid, et al.
Computing (2025) Vol. 107, Iss. 5
Closed Access
Distinct soluble immune checkpoint profiles characterize COVID-19 severity, mortality and SARS-CoV-2 variant infections
Tudorița Gabriela Părângă, Mariana Pavel, Daniela Constantinescu, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 3
First-principles, machine learning and symbolic regression modelling for organic molecule adsorption on two-dimensional CaO surface
Wenguang Hu, Lei Zhang
Journal of Molecular Graphics and Modelling (2023) Vol. 124, pp. 108530-108530
Closed Access | Times Cited: 7
Interpretable Machine Learning for Investigating Photoelectrochemical Properties of Cosensitizer-Based CH3NH3PbI3/TiO2 Films in Water
Lei Zhang, Wenguang Hu, Mu He, et al.
The Journal of Physical Chemistry C (2022) Vol. 126, Iss. 14, pp. 6482-6490
Closed Access | Times Cited: 11
Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features
Caio Ribeiro, Chris Farmer, João Pedro de Magalhães, et al.
Aging (2023) Vol. 15, Iss. 13, pp. 6073-6099
Open Access | Times Cited: 6
The Experimentalist’s Guide to Machine Learning for Small Molecule Design
Sarah E. Lindley, Yiyang Lu, Diwakar Shukla
ACS Applied Bio Materials (2023) Vol. 7, Iss. 2, pp. 657-684
Open Access | Times Cited: 6
Deconvoluting Low Yield from Weak Potency in Direct-to-Biology Workflows with Machine Learning
William McCorkindale, Mihajlo Filep, Nir London, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 3, pp. 1015-1021
Open Access | Times Cited: 1
Machine learning predicts lifespan and underlying causes of death in aging C. elegans
Carina Kern, Petru Manescu, Matt Cuffaro, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Identification of angiogenesis-related genes and molecular subtypes for psoriasis based on random forest algorithm
Meng-Jie Zhang, Tingting Xue, Xiaoya Fei, et al.
Clinical & Experimental Immunology (2024) Vol. 218, Iss. 2, pp. 199-212
Closed Access | Times Cited: 1
Employing Machine Learning Models to Predict Potential α-Glucosidase Inhibitory Plant Secondary Metabolites Targeting Type-2 Diabetes and Their In Vitro Validation
Lemnaro Jamir, P. Hariprasad
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 1
Machine Learning-Based Toxicological Modeling for Screening Environmental Obesogens
Siying Wu, Linping Wang, Daniel Schlenk, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 41, pp. 18133-18144
Closed Access | Times Cited: 1
Identifying diagnostic biomarkers for Erythemato-Squamous diseases using explainable machine learning
Zheng Wang, Li C, Tong Shi, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107101-107101
Closed Access | Times Cited: 1
Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks
Alessio Gravina, Jennifer L. Wilson, Davide Bacciu, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 5, pp. e1009531-e1009531
Open Access | Times Cited: 6
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