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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 Models to Predict Protein–Protein Interaction Inhibitors
Bárbara I. Díaz‐Eufracio, José L. Medina‐Franco
Molecules (2022) Vol. 27, Iss. 22, pp. 7986-7986
Open Access | Times Cited: 11

Showing 11 citing articles:

Analyzing the structure-activity relationship of raspberry polysaccharides using interpretable artificial neural network model
Jie Lu, Yongjing Yang, Eun-Kyung Hong, et al.
International Journal of Biological Macromolecules (2024) Vol. 264, pp. 130354-130354
Closed Access | Times Cited: 10
Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery
Daniela Trisciuzzi, Bruno O. Villoutreix, Lydia Siragusa, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 7, pp. 737-752
Closed Access | Times Cited: 13
Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model
Chunyu Lei, Anhui Fu, Bin Li, et al.
Frontiers in Neurology (2025) Vol. 15
Open Access
Improving protein-protein interaction modulator predictions via knowledge-fused language models
Zitong Zhang, Quan Zou, Chunyu Wang, et al.
Information Fusion (2025), pp. 103227-103227
Closed Access
A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure
Zitong Zhang, Lingling Zhao, Junjie Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4295-4305
Closed Access | Times Cited: 2
Targeting protein-protein interactions in drug discovery: Modulators approved or in clinical trials for cancer treatment
Cristina Camps-Fajol, Debora Cavero, Jordi Minguillón, et al.
Pharmacological Research (2024) Vol. 211, pp. 107544-107544
Open Access | Times Cited: 2
A Hybrid Docking and Machine Learning Approach to Enhance the Performance of Virtual Screening Carried out on Protein–Protein Interfaces
Natesh Singh, Bruno O. Villoutreix
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 22, pp. 14364-14364
Open Access | Times Cited: 10
Separation and identification of berberine in plant extracts using LC-MS for antibacterial activity against E. coli determination and artificial intelligence prediction for other activities
Syed Dilshad Alam, Imran Ali, Mirza Beg, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Interface-aware molecular generative framework for protein–protein interaction modulators
Jianmin Wang, Jiashun Mao, Chunyan Li, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Interface-aware molecular generative framework for protein-protein interaction modulators
Jianmin Wang, Jiashun Mao, Chunyan Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
A novel optimized deep learning method for protein-protein prediction in bioinformatics
Preeti Thareja, R. S. Chillar
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 14, Iss. 1, pp. 749-749
Open Access
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