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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:

Uncertain-CAM: Uncertainty-Based Ensemble Machine Voting for Improved COVID-19 CXR Classification and Explainability
Waleed Aldhahi, Sanghoon Sull
Diagnostics (2023) Vol. 13, Iss. 3, pp. 441-441
Open Access | Times Cited: 11

Showing 11 citing articles:

Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 49
Deep semi-supervised learning for medical image segmentation: A review
Kai Han, Victor S. Sheng, Yuqing Song, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123052-123052
Closed Access | Times Cited: 42
Exploring Local Explanation of Practical Industrial AI Applications: A Systematic Literature Review
Thi-Thu-Huong Le, Aji Teguh Prihatno, Yustus Eko Oktian, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5809-5809
Open Access | Times Cited: 20
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 5
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
Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges
Naeem Ullah, Javed Ali Khan, Ivanoe De Falco, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 4
Efficient COVID-19 Prediction by Merging Various Deep Learning Architectures
Zakariya A. Oraibi, Safaa Albasri
Informatica (2024) Vol. 48, Iss. 5
Open 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
Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection
Jesús Rufino, Juan Marcos Ramírez, José Aguilar, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23219-e23219
Open Access | Times Cited: 3
Covid-19 Detection From X-Rays Images Using Deep Learning Methods
Georgios Sapountzakis, Paraskevi-Antonia Theofilou, Paraskevi Tzouveli
(2023), pp. 1-5
Closed Access | Times Cited: 2
Uncertainty Quantification in Automated Detection of Vertebral Metastasis Using Ensemble Monte Carlo Dropout
Soo Ho Ahn, Seungjin Baek, Jiwoo Park, et al.
Deleted Journal (2024)
Closed Access
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