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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:

Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules
Emna Harigua‐Souiai, Mohamed Mahmoud Heinhane, Yosser Zina Abdelkrim, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 11

Showing 11 citing articles:

Interpretable-ADMET: a web service for ADMET prediction and optimization based on deep neural representation
Yu Wei, Shanshan Li, Zhonglin Li, et al.
Bioinformatics (2022) Vol. 38, Iss. 10, pp. 2863-2871
Closed Access | Times Cited: 40
Positional embeddings and zero-shot learning using BERT for molecular-property prediction
Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Knowledge mapping of graph neural networks for drug discovery: a bibliometric and visualized analysis
Rufan Yao, Zhenhua Shen, Xinyi Xu, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 2
Approved drugs successfully repurposed against Leishmania based on machine learning predictions
Rafeh Oualha, Yosser Zina Abdelkrim, Ikram Guizani, et al.
Frontiers in Cellular and Infection Microbiology (2024) Vol. 14
Open Access | Times Cited: 2
Transformer-based models for chemical SMILES representation: A comprehensive literature review
Medard Edmund Mswahili, Young-Seob Jeong
Heliyon (2024) Vol. 10, Iss. 20, pp. e39038-e39038
Open Access | Times Cited: 2
Hybrid Approach to Identifying Druglikeness Leading Compounds against COVID-19 3CL Protease
Imra Aqeel, Muhammad Bilal, Abdul Majid, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 11, pp. 1333-1333
Open Access | Times Cited: 8
Poor Generalization by Current Deep Learning Models for Predicting Binding Affinities of Kinase Inhibitors
Wern Juin Gabriel Ong, Palani Kirubakaran, John Karanicolas
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Staying Ahead of the Game: How SARS-CoV-2 has Accelerated the Application of Machine Learning in Pandemic Management
Alexander H. Williams, Chang‐Guo Zhan
BioDrugs (2023) Vol. 37, Iss. 5, pp. 649-674
Closed Access | Times Cited: 2
Applied Machine Learning Toward Drug Discovery Enhancement: Leishmaniases as a Case Study
Emna Harigua‐Souiai, Rafeh Oualha, Oussama Souiaï, et al.
Bioinformatics and Biology Insights (2022) Vol. 16, pp. 117793222210903-117793222210903
Open Access | Times Cited: 4
cidalsDB: an AI-empowered platform for anti-pathogen therapeutics research
Emna Harigua‐Souiai, Ons Masmoudi, Samer Makni, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
High-Throughput Screening for the Potential Inhibitors of SARS-CoV-2 with Essential Dynamic Behavior
Zhiwei Yang, Lei Zhang, Xinhui Cai, et al.
Current Drug Targets (2023) Vol. 24, Iss. 6, pp. 532-545
Closed Access
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