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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:

A Novel Approach for Prediction of Lung Disease Using Chest X-ray Images Based on DenseNet and MobileNet
Adem Tekerek, Ismael Abdullah Mohammed Al-Rawe
Wireless Personal Communications (2023)
Open Access | Times Cited: 9

Showing 9 citing articles:

EDenseNetViT: Leveraging Ensemble Vision Transform Integrated Transfer Learning for Advanced Differentiation and Severity Scoring of Tuberculosis
Mamta Patankar, Vijayshri Chaurasia, Madhu Shandilya
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
Machine learning allows robust classification of lung neoplasm tissue using an electronic biopsy through minimally-invasive electrical impedance spectroscopy
Georgina Company-Se, Virginia Pajares, A Rafecas, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 259, pp. 108518-108518
Open Access | Times Cited: 3
Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection
Naveenraj Kamalakannan, Sri Ram Macharla, M Kanimozhi, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109093-109093
Closed Access | Times Cited: 1
Enhancing an Imbalanced Lung Disease X-ray Image Classification with the CNN-LSTM Model
Julio Fachrel, Anindya Apriliyanti Pravitasari, Intan Nurma Yulita, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8227-8227
Open Access | Times Cited: 3
Exploring the Effectiveness of Various Machine Learning Models in Predicting Heart Failure: A Comparative Study
Snehal Rathi, Aakash Das, Aashi Gupta, et al.
(2024), pp. 1241-1249
Closed Access
Transformative Approach for Prediction of Lung Disease Using Lung X-ray Images
S. P. Mehra, Sunil Kumar Singh, Sudhakar Kumar, et al.
Research Square (Research Square) (2024)
Open Access
Segnet with Unet3+ and EfficientNet: a novel framework of brain tumour segmentation and classification model by multiscale attention-based deep learning techniques with hybrid heuristic improvement using 3D MRI brain images
D Ramya, C. Lakshmi
The Imaging Science Journal (2024), pp. 1-24
Closed Access
Differential Evaluation Multi-scale U-NET (DEMSU-NET) Architecture for Classification of Lung Diseases from X-Ray Images
A. Jayanth Balaji, S. Brintha Rajakumari
Communications in computer and information science (2024), pp. 340-355
Closed Access
Lung Disease Classification using X-Ray Imaging with Ensemble Learning
Kriti Vij, Saloni Thakur, Aman Sharma, et al.
(2023), pp. 1-5
Closed Access
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