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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:

Reliable prediction of cannabinoid receptor 2 ligand by machine learning based on combined fingerprints
Hao Zhou, Mengyi Shan, Luping Qin, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106379-106379
Closed Access | Times Cited: 9

Showing 9 citing articles:

CIRCE: Web-Based Platform for the Prediction of Cannabinoid Receptor Ligands Using Explainable Machine Learning
Nicola Gambacorta, Fulvio Ciriaco, Nicola Amoroso, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 18, pp. 5916-5926
Closed Access | Times Cited: 20
Prediction of Proteolysis-Targeting Chimeras Retention Time Using XGBoost Model Incorporated with Chromatographic Conditions
Xinhao Qu, Chen Jiang, Mengyi Shan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Predicting the anticancer activity of indole derivatives: A novel GP-tree-based QSAR model optimized by ALO with insights from molecular docking and decision-making methods
Mohamed Kouider Amar, Hamza Moussa, Mohamed Hentabli
Computers in Biology and Medicine (2025) Vol. 189, pp. 109988-109988
Closed Access
Advances in QSAR through artificial intelligence and machine learning methods
Chandrabose Selvaraj, Elakkiya Elango, Paulraj Prabhu, et al.
Elsevier eBooks (2023), pp. 101-116
Closed Access | Times Cited: 5
Machine-Learning-Assisted Material Discovery of Pyridine-Based Polymers for Efficient Removal of ReO4–
Ling Yuan, Haolin Guo, Qinyang Li, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 1
ALPACA: A machine Learning Platform for Affinity and selectivity profiling of CAnnabinoids receptors modulators
Pietro Delre, Marialessandra Contino, Domenico Alberga, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107314-107314
Open Access | Times Cited: 3
ChemXTree: A Feature-Enhanced Graph Neural Network-Neural Decision Tree Framework for ADMET Prediction
Yuzhi Xu, Xinxin Liu, Wei Xia, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 22, pp. 8440-8452
Open Access
From 2015 to 2023: How Machine Learning Aids Natural Product Analysis
Suwen Shi, Ziwei Huang, Xingxin Gu, et al.
Chemistry Africa (2024)
Open Access
ChemXTree:A Tree-enhanced Classification Approach to Small-molecule Drug Discovery
Yuzhi Xu, Xinxin Liu, Jiankai Ge, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Cannabinoid receptors type 2: Function and Development in Agonist Discovery from synthetic and natural sources with Applications for the Therapy of Osteoporosis
Sijing Hu, Gang Cheng, G. L. Chen, et al.
Arabian Journal of Chemistry (2023) Vol. 17, Iss. 2, pp. 105536-105536
Open Access
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