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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:

Explainable artificial intelligence model for identifying COVID-19 gene biomarkers
Fatma Hilal Yağın, İpek BALIKÇI ÇİÇEK, Abedalrhman Alkhateeb, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106619-106619
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Current methods in explainable artificial intelligence and future prospects for integrative physiology
Bettina Finzel
Pflügers Archiv - European Journal of Physiology (2025)
Open Access | Times Cited: 1
Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities
Connor D. Flynn, Dingran Chang
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1100-1100
Open Access | Times Cited: 13
Revolutionizing Vaccine Development for COVID-19: A Review of AI-Based Approaches
Aritra Ghosh, María M. Larrondo-Petrie, Mirjana Pavlović
Information (2023) Vol. 14, Iss. 12, pp. 665-665
Open Access | Times Cited: 17
Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study
Rüstem Yılmaz, Fatma Hilal Yağın, Cemil Çolak, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 6
An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning
Muhammad Muzammil Azad, Heung Soo Kim
Polymer Composites (2024)
Open Access | Times Cited: 6
Explainable machine learning in outcome prediction of high-grade aneurysmal subarachnoid hemorrhage
Lei Shu, Hua Yan, Yanze Wu, et al.
Aging (2024), pp. 4654-4669
Open Access | Times Cited: 5
Explainability based Panoptic brain tumor segmentation using a hybrid PA-NET with GCNN-ResNet50
S. Berlin Shaheema, K. Suganya Devi, Naresh Babu Muppalaneni
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106334-106334
Closed Access | Times Cited: 5
An Emerging Network for COVID-19 CT-Scan Classification using an ensemble deep transfer learning model
Kolsoum Yousefpanah, M. J. Ebadi, Sina Sabzekar, et al.
Acta Tropica (2024) Vol. 257, pp. 107277-107277
Closed Access | Times Cited: 5
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach
Nhat Truong Pham, Ying Zhang, Rajan Rakkiyappan, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108859-108859
Closed Access | Times Cited: 5
Demystifying the Black Box: A Survey on Explainable Artificial Intelligence (XAI) in Bioinformatics
Aishwarya Budhkar, Qianqian Song, Jing Su, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 346-359
Open Access
A Machine Learning-Based Model to Predict Intravenous Immunoglobulin Resistance in Kawasaki Disease
Yuhan Xia, Yan Huang, Min Gong, et al.
iScience (2025) Vol. 28, Iss. 3, pp. 112004-112004
Open Access
User Experience and Trust Improvement Evaluation on Healthcare oriented Explainable Artificial Intelligence Interventions: Systematic Review (Preprint)
Samantha Cramer, Elina Gastreich-de-Llanes, Jonas Bäcker, et al.
(2025)
Closed Access
Artificial intelligence optimizes the standardized diagnosis and treatment of chronic sinusitis
Yangyang Liu, Steve Jiang, Yingbin Wang
Frontiers in Physiology (2025) Vol. 16
Open Access
An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites
Fatma Hilal Yağın, Abedalrhman Alkhateeb, Ali Raza, et al.
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3495-3495
Open Access | Times Cited: 15
Explainable artificial intelligence for omics data: a systematic mapping study
Philipp A Toussaint, Florian Leiser, Scott Thiebes, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 15
Interferon-stimulated gene IFI27 as a multifaceted candidate target in precision medicine
Maryam Shojaei, Anthony S. McLean
Trends in Immunology (2025)
Open Access
An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children
Mengyu Duan, Zhimin Geng, Lichao Gao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods
Jingxin Ren, Xianchao Zhou, Ke Huang, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107883-107883
Closed Access | Times Cited: 11
Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens
Izegbua E. Ihongbe, Shereen Fouad, Taha F. Mahmoud, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0308758-e0308758
Open Access | Times Cited: 3
Genetic Variants within SARS-CoV-2 Human Receptor Genes May Contribute to Variable Disease Outcomes in Different Ethnicities
Theolan Adimulam, Thilona Arumugam, Anmol Gokul, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 10, pp. 8711-8711
Open Access | Times Cited: 10
A proposed tree-based explainable artificial intelligence approach for the prediction of angina pectoris
Emek Güldoğan, Fatma Hilal Yağın, Abdulvahap Pınar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis
Victor Ikechukwu Agughasi, Sampoorna Bhimshetty, R Deepu, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 2
Dissecting Crucial Gene Markers Involved in HPV-Associated Oropharyngeal Squamous Cell Carcinoma from RNA-Sequencing Data through Explainable Artificial Intelligence
Karthik Sekaran, Rinku Polachirakkal Varghese, Shibu Krishnan, et al.
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 6, pp. 220-220
Open Access | Times Cited: 2
A tree-based explainable AI model for early detection of Covid-19 using physiological data
Manar Abu Talib, Yaman Afadar, Qassim Nasir, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Personalized identification of Autism-related bacteria in the gut microbiome using eXplainable Artificial Intelligence
Pierfrancesco Novielli, Donato Romano, Michele Magarelli, et al.
iScience (2024) Vol. 27, Iss. 9, pp. 110709-110709
Open Access | Times Cited: 2
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