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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:

An Interpretation Architecture for Deep Learning Models with the Application of COVID-19 Diagnosis
Yuchai Wan, Hongen Zhou, Xun Zhang
Entropy (2021) Vol. 23, Iss. 2, pp. 204-204
Open Access | Times Cited: 19

Showing 19 citing articles:

Survey on Explainable AI: From Approaches, Limitations and Applications Aspects
Wenli Yang, Yu-Chen Wei, H. Wei, et al.
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 3, pp. 161-188
Open Access | Times Cited: 60
Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction
A. Karthikeyan, Akshit Garg, P. K. Vinod, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 95
COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled
Dasari Naga Vinod, S. R. S. Prabaharan
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2667-2682
Open Access | Times Cited: 25
Role of Artificial Intelligence in COVID-19 Detection
Anjan Gudigar, U. Raghavendra, Sneha Nayak, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8045-8045
Open Access | Times Cited: 50
A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Mélanie Champendal, Henning Müller, John O. Prior, et al.
European Journal of Radiology (2023) Vol. 169, pp. 111159-111159
Open Access | Times Cited: 19
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: 6
Predictive models for COVID-19 detection using routine blood tests and machine learning
Yury V. Kistenev, Denis A. Vrazhnov, Ekaterina E. Shnaider, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e11185-e11185
Open Access | Times Cited: 26
A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022
K. C. Santosh, Debasmita GhoshRoy, Suprim Nakarmi
Healthcare (2023) Vol. 11, Iss. 17, pp. 2388-2388
Open Access | Times Cited: 12
Interpretable Deep Learning Framework for COVID-19 Detection: Grad-CAM Integration with Pre-trained CNN Models on Chest X-Ray Images
Ammar A. Ali
International Journal of Scientific Research in Science Engineering and Technology (2025) Vol. 12, Iss. 1, pp. 153-163
Open Access
Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review
Asifuzzaman Lasker, Sk Md Obaidullah, Chandan Chakraborty, et al.
SN Computer Science (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 11
Scientific pertinence of developing machine learning technologies for the triage of COVID-19 patients: A bibliometric analysis via Scopus
Santiago Ballaz, Mary Pulgar-Sánchez, Kevin Chamorro, et al.
Informatics in Medicine Unlocked (2023) Vol. 41, pp. 101312-101312
Open Access | Times Cited: 6
Broad learning solution for rapid diagnosis of COVID-19
Xiaowei Wang, Liying Cheng, Dan Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104724-104724
Open Access | Times Cited: 4
A Multi-Scale and Multi-Level Fusion Approach for Deep Learning-Based Liver Lesion Diagnosis in Magnetic Resonance Images with Visual Explanation
Yuchai Wan, Zhongshu Zheng, Ran Liu, et al.
Life (2021) Vol. 11, Iss. 6, pp. 582-582
Open Access | Times Cited: 10
X-ray Image-Based COVID-19 Patient Detection Using Machine Learning-Based Techniques
Shabana Habib, Saleh Alyahya, Aizaz Ahmed, et al.
Computer Systems Science and Engineering (2022) Vol. 43, Iss. 2, pp. 671-682
Open Access | Times Cited: 5
Classification of Lung Images of COVID-19 Patients With the Application of Deep Learning Techniques
C. Meenakshi, S. Meyyappan, Aurélie Ram, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 66-79
Closed Access
Determination of prognostic markers for COVID-19 disease severity using routine blood tests and machine learning
Tayná Evily de Lima, Matheus Ferraz, Carlos Alexandre Antunes de Brito, et al.
Anais da Academia Brasileira de Ciências (2024) Vol. 96, Iss. 2
Open Access
GTA 3D-DLD: Greedy Training Approach for 3D Deep Learning Diagnosis Based COVID‑19 CT Scan
Maysam Hasson, Taha Mohammed Hasan, Zaidoon Kamil Maseer
International journal of intelligent engineering and systems (2022) Vol. 16, Iss. 1, pp. 173-186
Open Access | Times Cited: 2
Detection of Covid-19 from X-ray Images via Ensemble of Features Extraction Methods Employing Randomized Neural Networks
Ömer Faruk Ertuğrul, Emrullah Acar, Abdulkerim Öztekin, et al.
European Journal of Technic (2021)
Open Access | Times Cited: 2
An Overview on Deep Leaning Application in Coronavirus (COVID-19):Diagnosis, Prediction and Effects
Meet Kumari
2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) (2021), pp. 1507-1510
Open Access | Times Cited: 1
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