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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:

DeepMalaria: Artificial Intelligence Driven Discovery of Potent Antiplasmodials
Arash Keshavarzi Arshadi, Milad Salem, Jennifer Collins, et al.
Frontiers in Pharmacology (2020) Vol. 10
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 932
Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development
Arash Keshavarzi Arshadi, Julia Webb, Milad Salem, et al.
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 211
Phenotypic drug discovery: recent successes, lessons learned and new directions
Fabien Vincent, Arsenio Nueda, Jonathan Lee, et al.
Nature Reviews Drug Discovery (2022) Vol. 21, Iss. 12, pp. 899-914
Open Access | Times Cited: 201
Artificial Intelligence-Based Data-Driven Strategy to Accelerate Research, Development, and Clinical Trials of COVID Vaccine
Ashwani Sharma, Tarun Virmani, Vipluv Pathak, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 79
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 75
Design of potent antimalarials with generative chemistry
William J. Godinez, Jakwonga Moro Eric, Alexander T. Chao, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 2, pp. 180-186
Closed Access | Times Cited: 42
Artificial intelligence in medicine and the disclosure of risks
Maximilian Kiener
AI & Society (2020) Vol. 36, Iss. 3, pp. 705-713
Open Access | Times Cited: 68
Use of Artificial Intelligence and Machine Learning for Discovery of Drugs for Neglected Tropical Diseases
David A. Winkler
Frontiers in Chemistry (2021) Vol. 9
Open Access | Times Cited: 52
Artificial intelligence in parasitic disease control: A paradigm shift in health care
Subhash Chandra Parija, Abhijit Poddar
Tropical parasitology (2024) Vol. 14, Iss. 1, pp. 2-7
Open Access | Times Cited: 6
The potential applications of artificial intelligence in drug discovery and development
Hassan Farghali, Nikolina Kutinová Canová, Mahak Arora
Physiological Research (2021), pp. S715-S722
Open Access | Times Cited: 34
Deep learning for rare disease: A scoping review
Jung Hwan Lee, Cong Liu, Junyoung Kim, et al.
Journal of Biomedical Informatics (2022) Vol. 135, pp. 104227-104227
Open Access | Times Cited: 26
Machine Learning and Its Applications for Protozoal Pathogens and Protozoal Infectious Diseases
Rui-Si Hu, Abd El‐Latif Hesham, Quan Zou
Frontiers in Cellular and Infection Microbiology (2022) Vol. 12
Open Access | Times Cited: 23
MolData, a molecular benchmark for disease and target based machine learning
Arash Keshavarzi Arshadi, Milad Salem, Arash Firouzbakht, et al.
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 22
MalariaFlow: A Comprehensive Deep Learning Platform for Multistage Phenotypic Antimalarial Drug Discovery
Mujie Lin, Junxi Cai, Yuancheng Wei, et al.
European Journal of Medicinal Chemistry (2024) Vol. 277, pp. 116776-116776
Closed Access | Times Cited: 4
OMICs Technologies for Natural Compounds-based Drug Development
Abdullahi Tunde Aborode, Wireko Andrew Awuah, Tatiana Mikhailova, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 21, pp. 1751-1765
Closed Access | Times Cited: 19
Malaria Chemotherapeutics What Next for Africa
Lucy Ochola, Jesse Gitaka, Bernard N. Kanoi, et al.
Advanced Therapeutics (2025)
Closed Access
A current review on the development of antimicrobial drugs from bioactive phytocompounds using artificial intelligence
Suvendu Ghosh, Vishal Singha, Sutapa Datta, et al.
MGM Journal of Medical Sciences (2025) Vol. 12, Iss. 1, pp. 155-165
Open Access
Artificial Intelligence, Machine Learning, and Deep Learning in Real-Life Drug Design Cases
Christophe Müller, Obdulia Rabal, Constantino Diaz Gonzalez
Methods in molecular biology (2021), pp. 383-407
Closed Access | Times Cited: 22
Artificial Intelligence and Machine Learning for Lead-to-Candidate Decision-Making and Beyond
Douglas McNair
The Annual Review of Pharmacology and Toxicology (2022) Vol. 63, Iss. 1, pp. 77-97
Open Access | Times Cited: 16
Molecular Descriptors Property Prediction Using Transformer-Based Approach
Tuan Tran, Chinwe Ekenna
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 15, pp. 11948-11948
Open Access | Times Cited: 9
Leveraging computational tools to combat malaria: assessment and development of new therapeutics
Nomagugu B. Ncube, Matshawandile Tukulula, Krishna G Govender
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Lingering challenges in malaria elimination efforts in sub‐Saharan Africa: Insights and potential solutions
Lukman Lawal, Ahmad Oyindamola Buhari, Tawakalitu A. Jaji, et al.
Health Science Reports (2024) Vol. 7, Iss. 6
Open Access | Times Cited: 2
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
Omid Bazgir, Souparno Ghosh, Ranadip Pal
Bioinformatics (2021) Vol. 37, Iss. Supplement_1, pp. i42-i50
Open Access | Times Cited: 16
Systematic review on the application of machine learning to quantitative structure–activity relationship modeling against Plasmodium falciparum
Osondu Everestus Oguike, Chikodili Ugwuishiwu, Caroline Asogwa, et al.
Molecular Diversity (2022) Vol. 26, Iss. 6, pp. 3447-3462
Open Access | Times Cited: 11
Machine Learning Approaches Identify Chemical Features for Stage-Specific Antimalarial Compounds
Ashleigh van Heerden, Gemma Turón, Miquel Duran‐Frigola, et al.
ACS Omega (2023) Vol. 8, Iss. 46, pp. 43813-43826
Open Access | Times Cited: 6
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