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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:

Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM
Mobina Ezzoddin, Hamid Nasiri, Morteza Dorrigiv
(2022)
Open Access | Times Cited: 15

Showing 15 citing articles:

Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
Giovanni Irmici, Maurizio Cè, Elena Caloro, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 216-216
Open Access | Times Cited: 30
Modeling operational cement rotary kiln variables with explainable artificial intelligence methods – a “conscious lab” development
Rasoul Fatahi, Hamid Nasiri, Arman Homafar, et al.
Particulate Science And Technology (2022) Vol. 41, Iss. 5, pp. 715-724
Open Access | Times Cited: 27
Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
Hassan K. Ahmad, Michael Milne, Quinlan D. Buchlak, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 743-743
Open Access | Times Cited: 16
Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 13, pp. 1858-1874
Open Access | Times Cited: 14
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2022), pp. 201-206
Open Access | Times Cited: 19
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net
Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, et al.
New Generation Computing (2023) Vol. 41, Iss. 2, pp. 475-502
Open Access | Times Cited: 10
A Novel Lightweight Approach to COVID-19 Diagnostics Based on Chest X-ray Images
Agata Giełczyk, Anna Marciniak, Martyna Tarczewska, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 19, pp. 5501-5501
Open Access | Times Cited: 8
Deep learning for breast cancer diagnosis from histopathological images: classification and gene expression: review
Oumeima Thaalbi, Moulay A. Akhloufi
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Deep-Learning-Based COVID-19 Diagnosis and Implementation in Embedded Edge-Computing Device
Lu Lou, Liang Hong, Zhengxia Wang
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1329-1329
Open Access | Times Cited: 3
Multi-objective hyperparameter optimization on gradient-boosting for breast cancer detection
Priya Singh, Swayam Gupta, Vasu Gupta
International Journal of Systems Assurance Engineering and Management (2023) Vol. 15, Iss. 5, pp. 1676-1686
Open Access | Times Cited: 3
Research of mortality risk prediction based on hospital admission data for COVID-19 patients
Qian Shen
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 3, pp. 5333-5351
Open Access | Times Cited: 2
Histopathology image analysis for gastric cancer detection: a hybrid deep learning and catboost approach
Danial Khayatian, Alireza Maleki, Hamid Nasiri, et al.
Multimedia Tools and Applications (2024)
Closed Access
The Forecasting of the Spread of Infectious Diseases Based on Conditional Generative Adversarial Networks
Olga Krivorotko, Nikolay Zyatkov
Mathematics (2024) Vol. 12, Iss. 19, pp. 3044-3044
Open Access
Multi-Objective Hyperparameter Optimization on Gradient Boosting for Breast Cancer Detection
Priya Singh, Swayam Gupta, Vasu Gupta
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Improved Deep Learning with Metaheuristics Driven COVID-19 Diagnosis on Chest X-Ray Images
Mahdi Abdulkhudur Alkhafaij, A. Sahib Oleiwi, Rabei Raad Ali, et al.
2022 5th International Conference on Engineering Technology and its Applications (IICETA) (2023), pp. 516-522
Closed Access
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