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:
Segmentation and Classification of Interstitial Lung Diseases Based on Hybrid Deep Learning Network Model
Surendra Reddy Vinta, B. Lakshmi, M. Aruna Safali, et al.
IEEE Access (2024) Vol. 12, pp. 50444-50458
Open Access | Times Cited: 8
Surendra Reddy Vinta, B. Lakshmi, M. Aruna Safali, et al.
IEEE Access (2024) Vol. 12, pp. 50444-50458
Open Access | Times Cited: 8
Showing 8 citing articles:
Lung disease classification in chest X-ray images using optimal cross stage partial bidirectional long short term memory
T. Babu, Ganesh Kumar, L Kartheesan, et al.
Journal of X-Ray Science and Technology (2025)
Open Access
T. Babu, Ganesh Kumar, L Kartheesan, et al.
Journal of X-Ray Science and Technology (2025)
Open Access
MSCA-Sp R-CNN: a segmentation algorithm for pneumonia small lesions integrating multi-scale channel attention and sub-pixel upsampling
Jiacheng Lu, Kaiwen Wang, Hui Ding, et al.
Multimedia Systems (2025) Vol. 31, Iss. 2
Closed Access
Jiacheng Lu, Kaiwen Wang, Hui Ding, et al.
Multimedia Systems (2025) Vol. 31, Iss. 2
Closed Access
Implementing Lung Cancer Diagnosis Framework in Early Stages Using Segmentation Procedures and Adaptive Recurrent Convolution Neural Network with Region Attention for Classification
Maloth Shekhar, Seetharam Khetavath
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Maloth Shekhar, Seetharam Khetavath
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Analysis of the Impact of Watermarking Technique in Neural Network Models to Predict Lung Diseases
Tuan Nguyen-Thanh, Kiet Vo-Tuan
Communications in computer and information science (2025), pp. 308-321
Closed Access
Tuan Nguyen-Thanh, Kiet Vo-Tuan
Communications in computer and information science (2025), pp. 308-321
Closed Access
A survey on comparative study of lung nodules applying machine learning and deep learning techniques
K. Vino Aishwarya, A. Asuntha
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
K. Vino Aishwarya, A. Asuntha
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease
Yexin Lai, Xueyu Liu, E Linning, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124270-124270
Closed Access | Times Cited: 1
Yexin Lai, Xueyu Liu, E Linning, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124270-124270
Closed Access | Times Cited: 1
Magnetic Resonance Image based Lung Disorder Detection Models in Deep Learning-A Comprehensive Survey
Anjaneyulu Gurram, Parthasarathy Ramadass
(2024), pp. 1323-1329
Closed Access
Anjaneyulu Gurram, Parthasarathy Ramadass
(2024), pp. 1323-1329
Closed Access
Unified Synergistic Deep Learning Framework for Multimodal 2-D and 3-D Radiographic Data Analysis: Model Development and Validation
Muhammad Owais, Muhammad Zubair, Lakmal Seneviratne, et al.
IEEE Access (2024) Vol. 12, pp. 159688-159705
Open Access
Muhammad Owais, Muhammad Zubair, Lakmal Seneviratne, et al.
IEEE Access (2024) Vol. 12, pp. 159688-159705
Open Access
