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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:

Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology
Irene L. Hudson
Methods in molecular biology (2020), pp. 167-184
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Evaluating ChatGPT's Ability to Solve Higher-Order Questions on the Competency-Based Medical Education Curriculum in Medical Biochemistry
Arındam Ghosh, Aritri Bir
Cureus (2023)
Open Access | Times Cited: 54
Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review
Rui Li, Xin Yuan, Mohsen Radfar, et al.
IEEE Reviews in Biomedical Engineering (2021) Vol. 16, pp. 109-135
Closed Access | Times Cited: 68
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Danuta Cembrowska-Lech, Adrianna Krzemińska, Tymoteusz Miller, et al.
Biology (2023) Vol. 12, Iss. 10, pp. 1298-1298
Open Access | Times Cited: 29
Predicting blood–brain barrier permeability of molecules with a large language model and machine learning
Eddie Huang, Jai‐Sing Yang, Ken Ying-Kai Liao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins
Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Success stories of AI in drug discovery - where do things stand?
Kit‐Kay Mak, Madhu Katyayani Balijepalli, Mallikarjuna Rao Pichika
Expert Opinion on Drug Discovery (2021) Vol. 17, Iss. 1, pp. 79-92
Closed Access | Times Cited: 42
Gray Level Co-Occurrence Matrix, Fractal and Wavelet Analyses of Discrete Changes in Cell Nuclear Structure following Osmotic Stress: Focus on Machine Learning Methods
Igor Pantić, Svetlana Valjarević, Jelena Cumic, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 3, pp. 272-272
Open Access | Times Cited: 16
Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art
Igor Pantić, Jovana Paunović, Snežana Pejić, et al.
Chemico-Biological Interactions (2022) Vol. 358, pp. 109888-109888
Closed Access | Times Cited: 27
Artificial Intelligence Analysis and Reverse Engineering of Molecular Subtypes of Diffuse Large B-Cell Lymphoma Using Gene Expression Data
Joaquim Carreras, Yara Yukie Kikuti, Masashi Miyaoka, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 295-320
Open Access | Times Cited: 5
Enhancing transparency of omics data analysis with the Evolutionary Multi-Test Tree and Relative Expression
Marcin Czajkowski, Krzysztof Jurczuk, Marek Krętowski
Expert Systems with Applications (2025), pp. 127131-127131
Closed Access
Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?
Emma Tysinger, K. Brajesh, Anton V. Sinitskiy
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 6, pp. 1734-1744
Closed Access | Times Cited: 12
Interdisciplinary Overview of Lipopeptide and Protein-Containing Biosurfactants
Régis Antonioli, Joice de Faria Poloni, Éderson Sales Moreira Pinto, et al.
Genes (2022) Vol. 14, Iss. 1, pp. 76-76
Open Access | Times Cited: 16
Data Science and Plant Metabolomics
Anna Kisiel, Adrianna Krzemińska, Danuta Cembrowska-Lech, et al.
Metabolites (2023) Vol. 13, Iss. 3, pp. 454-454
Open Access | Times Cited: 10
Enhancing multi-omics data classification with relative expression analysis and decision trees
Marcin Czajkowski, Krzysztof Jurczuk, Marek Krętowski
Journal of Computational Science (2024), pp. 102460-102460
Closed Access | Times Cited: 1
Omics in a Digital World: The Role of Bioinformatics in Providing New Insights Into Human Aging
Serena Dato, Paolina Crocco, Nicola Rambaldi Migliore, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 10
Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language
Stephanie Holmgren, Rebecca Boyles, Ryan Cronk, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 17, pp. 8985-8985
Open Access | Times Cited: 9
From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output
Hanna Baltrukevich, Sabina Podlewska
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 6
Deep Learning Approaches for Glioblastoma Prognosis in Resource-Limited Settings: A Study Using Basic Patient Demographic, Clinical, and Surgical Inputs
Marc Ghanem, Abdul Karim Ghaith, Cameron Zamanian, et al.
World Neurosurgery (2023) Vol. 175, pp. e1089-e1109
Closed Access | Times Cited: 3
gRNA Design: How Its Evolution Impacted on CRISPR/Cas9 Systems Refinement
Cristofer Motoche-Monar, Julián E. Ordoñez, Oscar Chang, et al.
Biomolecules (2023) Vol. 13, Iss. 12, pp. 1698-1698
Open Access | Times Cited: 3
Artificial intelligence-based drug screening and drug repositioning tools and their application in the present scenario
Anand Krishnamurthy, Purvi Goel
Elsevier eBooks (2022), pp. 379-398
Closed Access | Times Cited: 5
Designing Pharmaceuticals Through Ligand-Centric Approaches
Spoorthi R Kulkarni, Vidya Niranjan, Shradha Anand Mulimani, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 217-246
Closed Access
Deep Learning on Site‐Specific Drug Delivery System
Prem Shankar Mishra, Rakhi Mishra, Rupa Mazumder
(2022), pp. 77-100
Closed Access | Times Cited: 1
Deep Learning Advancements in Target Delivery
Sudhanshu Mishra, Palak Gupta, Smriti Ojha, et al.
(2022), pp. 101-125
Closed Access | Times Cited: 1
Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?
Emma Tysinger, K. Brajesh, Anton V. Sinitskiy
(2022)
Open Access | Times Cited: 1
A Review of Drug-related Associations Prediction Based on Artificial Intelligence Methods
Mei Ma, Xiujuan Lei, Yuchen Zhang
Current Bioinformatics (2023) Vol. 19, Iss. 6, pp. 530-550
Closed Access
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