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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:

COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
Ameer Hamza, Muhammad Attique Khan, Shuihua Wang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 572-587
Closed Access | Times Cited: 85
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 17
Self-supervised multi-task learning for medical image analysis
Huihui Yu, Qun Dai
Pattern Recognition (2024) Vol. 150, pp. 110327-110327
Closed Access | Times Cited: 11
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Hassaan Malik, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0296352-e0296352
Open Access | Times Cited: 10
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
Muhammad Usman Tariq, Shuhaida Ismail
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294289-e0294289
Open Access | Times Cited: 10
Multimodal deep learning model for Covid-19 detection
Fadilul-lah Yassaanah Issahaku, Xiangwei Liu, Ke Lu, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105906-105906
Closed Access | Times Cited: 8
Reviewing CAM-Based Deep Explainable Methods in Healthcare
Dan Tang, J.J. Chen, Lijuan Ren, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4124-4124
Open Access | Times Cited: 6
A novel ensemble CNN model for COVID-19 classification in computerized tomography scans
Lúcio Flávio de Jesus Silva, Omar Andrés Carmona Cortes, João Otávio Bandeira Diniz
Results in Control and Optimization (2023) Vol. 11, pp. 100215-100215
Open Access | Times Cited: 15
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization
Irfan Haider, Muhammad Attique Khan, Muhammad Nazir, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7260-7277
Open Access | Times Cited: 5
Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review
Irkham Irkham, Abdullahi Umar Ibrahim, Chidi Wilson Nwekwo, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 426-426
Open Access | Times Cited: 20
An effective COVID-19 classification in X-ray images using a new deep learning framework
P. Thilagavathi, R. Geetha, S. Jothi Shri, et al.
Journal of X-Ray Science and Technology (2025)
Open Access
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction
Huong Hoang Luong, Phuc Phan Hong, Dat Vo Minh, et al.
Visual Computing for Industry Biomedicine and Art (2025) Vol. 8, Iss. 1
Open Access
Comparative Evaluation of Deep Learning Models for Diagnosis of COVID-19 Using X-ray Images and Computed Tomography
Aroldo Ferraz, Roberto Cesar Betini
Journal of the Brazilian Computer Society (2025) Vol. 31, Iss. 1, pp. 99-131
Open Access
A Study on the Identification of Risk Factors for Latent Tuberculosis Infection in Xinjiang Using Machine Learning
Yanjie Wang, Zhen Luo, Mairihaba kamili, et al.
Research Square (Research Square) (2025)
Closed Access
Bridging efficiency and interpretability: Explainable AI for multi-classification of pulmonary diseases utilizing modified lightweight CNNs
Samia Khan, Farheen Siddiqui, Mohd Abdul Ahad
Image and Vision Computing (2025), pp. 105553-105553
Closed Access
A comprehensive review of explainable AI for disease diagnosis
Al Amin Biswas
Array (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 3
Explainable AI-Based Humerus Fracture Detection and Classification from X-Ray Images
Koushick Barua, Tanjim Mahmud, Anik Barua, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 9
A deep learning‐based x‐ray imaging diagnosis system for classification of tuberculosis, COVID‐19, and pneumonia traits using evolutionary algorithm
Zeeshan Ali, Muhammad Attique Khan, Ameer Hamza, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 8
Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography
Kuo-Hsuan Lin, Nan‐Han Lu, Takahide Okamoto, et al.
Healthcare (2023) Vol. 11, Iss. 10, pp. 1367-1367
Open Access | Times Cited: 6
MSRFNet for skin lesion segmentation and deep learning with hybrid optimization for skin cancer detection
Diwan Baskaran, Nagamani Yanda, Suneetha Merugula, et al.
The Imaging Science Journal (2023) Vol. 71, Iss. 7, pp. 616-635
Closed Access | Times Cited: 5
DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data
Murukessan Perumal, M. Srinivas
Journal of Visual Communication and Image Representation (2023) Vol. 97, pp. 103949-103949
Closed Access | Times Cited: 4
Detecting cardiovascular diseases from radiographic images using deep learning techniques
Majed Alsanea, Ashit Kumar Dutta
Expert Systems (2024) Vol. 41, Iss. 7
Closed Access | Times Cited: 1
A lightweight deep learning model with knowledge distillation for pulmonary diseases detection in chest X-rays
Mohammed A. Asham, Asma A. Al-Shargabi, Raeed Al-Sabri, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Synergizing Chest X-ray Image Normalization and Discriminative Feature Selection for Efficient and Automatic COVID-19 Recognition
Salvador E. Ayala-Raggi, Angel Ernesto Picazo-Castillo, Aldrin Barreto-Flores, et al.
Lecture notes in computer science (2023), pp. 216-229
Closed Access | Times Cited: 2
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