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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 26-50 of 62 citing articles:

Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review
Ahnjili Zhuparris, Annika A. de Goede, Iris E. Yocarini, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5243-5243
Open Access | Times Cited: 6
Assessment of Hematological Predictors via Explainable Artificial Intelligence in the Prediction of Acute Myocardial Infarction
Rüstem Yılmaz, Fatma Hilal Yağın, Ali Raza, et al.
IEEE Access (2023) Vol. 11, pp. 108591-108602
Open Access | Times Cited: 4
On Expert-Machine Partnership to Predict Mortality of Congestive Heart Failure Patients
Ofir Ben‐Assuli, Tsipi Heart, Nan Yin, et al.
Information Systems Management (2024) Vol. 41, Iss. 4, pp. 413-431
Closed Access | Times Cited: 1
Insightful Clinical Assistance for Anemia Prediction with Data Analysis and Explainable AI
E. Kasthuri, S. Subbulakshmi, Rajasree Sreedharan
Procedia Computer Science (2024) Vol. 233, pp. 45-55
Open Access | Times Cited: 1
Artificial intelligence powered predictions: enhancing supply chain sustainability
Reza Farzipoor Saen, Farzaneh Yousefi, Majid Azadi
Annals of Operations Research (2024)
Closed Access | Times Cited: 1
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
Hamed Khalili, Maria A. Wimmer
Life (2024) Vol. 14, Iss. 7, pp. 783-783
Open Access | Times Cited: 1
A Comparative Study of a Nomogram and Machine Learning Models in Predicting Early Hematoma Expansion in Hypertensive Intracerebral Hemorrhage
Haoyi Ye, Yang Jiang, Zhihua Wu, et al.
Academic Radiology (2024)
Open Access | Times Cited: 1
Role of Explainable AI in Medical Diagnostics and Healthcare: A Pilot Study on Parkinson's Speech Detection
S. Sasikala, S. Arunkumar, Shivappriya. S. N, et al.
(2024), pp. 289-294
Closed Access | Times Cited: 1
Transforming personalized chronic pain management with artificial intelligence: A commentary on the current landscape and future directions
Stefano Casarin, Nele A. Haelterman, Keren Machol
Experimental Neurology (2024) Vol. 382, pp. 114980-114980
Open Access | Times Cited: 1
Optimization of diagnosis and treatment of hematological diseases via artificial intelligence
Shixuan Wang, Zoufang Huang, Jing Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI
Balraj Preet Kaur, Harpreet Singh, Rahul Hans, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0308015-e0308015
Open Access | Times Cited: 1
Interpretable and explainable predictive machine learning models for data-driven protein engineering
David Medina-Ortiz, Ashkan Khalifeh, Hoda Anvari-Kazemabad, et al.
Biotechnology Advances (2024) Vol. 79, pp. 108495-108495
Open Access | Times Cited: 1
An interpretable machine learning model of cross-sectional U.S. county-level obesity prevalence using explainable artificial intelligence
Ben Allen
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292341-e0292341
Open Access | Times Cited: 4
Artificial intelligence and machine learning responses to COVID-19 related inquiries
Naser Zaeri
Journal of Medical Engineering & Technology (2023) Vol. 47, Iss. 6, pp. 301-320
Closed Access | Times Cited: 4
Orchestrating information across tissues via a novel multitask GAT framework to improve quantitative gene regulation relation modeling for survival analysis
Meiyu Duan, Yueying Wang, Dong Zhao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 3
XA4C: eXplainable representation learning via Autoencoders revealing Critical genes
Qing Li, Yang Yu, Pathum Kossinna, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 10, pp. e1011476-e1011476
Open Access | Times Cited: 3
Identifying Explainable Machine Learning Models and a Novel SFRP2+ Fibroblast Signature as Predictors for Precision Medicine in Ovarian Cancer
Ziyi Yang, Dandan Zhou, Jun Huang
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 23, pp. 16942-16942
Open Access | Times Cited: 3
Character-Level Bidirectional Sign Language Translation Using Machine Learning Algorithms
K. Rajeswari, N. Vivekanandan, Sushma Vispute, et al.
Lecture notes in networks and systems (2024), pp. 211-219
Closed Access
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective
Ningsheng Zhao, Jia Yuan Yu, Krzysztof Dzięciołowski, et al.
Lecture notes in computer science (2024), pp. 29-48
Closed Access
Transparent and trustworthy interpretation of COVID-19 features in chest X-rays using explainable AI
Shakti Kinger, Vrushali Kulkarni
Multimedia Tools and Applications (2024)
Closed Access
Random Forest Approach to Identifying Microbial Biomarkers Relating to COVID-19 Severity
Jialin Lyu, Haiying Wang, Taranjit Singh, et al.
(2024), pp. 1-6
Closed Access
Explainable AI for Discovering Disease Biomarkers: A Survey
Slave Temkov
EAI/Springer Innovations in Communication and Computing (2024), pp. 185-192
Closed Access
Hybrid optimal feature selection-based iterative deep convolution learning for COVID-19 classification system
Priyadarsan Patra, Biswajit Tripathy
Computers in Biology and Medicine (2024) Vol. 181, pp. 109031-109031
Closed Access
Applications of Artificial Intelligence and Machine Learning in Antimicrobial Resistance Study
A. Durga Praveen, Nicholas Bartelo, Vijay Soni
Springer eBooks (2024), pp. 359-385
Closed Access
Correcting Biases of Shapley Value Attributions for Informative Machine Learning Model Explanations
Ningsheng Zhao, Jia Yuan Yu, Trang Bui, et al.
(2024), pp. 3331-3340
Closed Access

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