Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Survey of Deep Learning for Lung Disease Detection on Medical Images: State-of-the-Art, Taxonomy, Issues and Future Directions
Stefanus Tao Hwa Kieu, Abdullah Bade, Mohd Hanafi Ahmad Hijazi, et al.
Journal of Imaging (2020) Vol. 6, Iss. 12, pp. 131-131
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Deep Learning in Medical Image Analysis
Yudong Zhang, J. M. Górriz, Zhengchao Dong
Journal of Imaging (2021) Vol. 7, Iss. 4, pp. 74-74
Open Access | Times Cited: 101
A Novel Data Augmentation-Based Brain Tumor Detection Using Convolutional Neural Network
Haitham Alsaif, Ramzi Guesmi, Badr M. Alshammari, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3773-3773
Open Access | Times Cited: 67
Deep Learning in Multi-Class Lung Diseases’ Classification on Chest X-ray Images
Sungyeup Kim, Beanbonyka Rim, Seongjun Choi, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 915-915
Open Access | Times Cited: 66
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
Hybrid Intelligence-Driven Medical Image Recognition for Remote Patient Diagnosis in Internet of Medical Things
Zhiwei Guo, Yu Shen, Shaohua Wan, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 12, pp. 5817-5828
Closed Access | Times Cited: 81
A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images
Vinayakumar Ravi, Vasundhara Acharya, Mamoun Alazab
Cluster Computing (2022) Vol. 26, Iss. 2, pp. 1181-1203
Open Access | Times Cited: 62
Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images
Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, et al.
IEEE Transactions on Engineering Management (2021) Vol. 70, Iss. 8, pp. 2774-2786
Closed Access | Times Cited: 58
Chest X-ray analysis empowered with deep learning: A systematic review
Dulani Meedeniya, Hashara Kumarasinghe, Shammi Kolonne, et al.
Applied Soft Computing (2022) Vol. 126, pp. 109319-109319
Open Access | Times Cited: 57
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 6
CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images
Sadia Din, Muhammad Shoaib, Erchin Serpedin
Bioengineering (2025) Vol. 12, Iss. 2, pp. 167-167
Open Access
U-Net Based Chest X-ray Segmentation with Ensemble Classification for Covid-19 and Pneumonia
Hashara Kumarasinghe, Shammi Kolonne, Chamodi Fernando, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2022) Vol. 18, Iss. 07, pp. 161-175
Open Access | Times Cited: 33
A Survey of Deep Learning for Retinal Blood Vessel Segmentation Methods: Taxonomy, Trends, Challenges and Future Directions
Olubunmi Omobola Sule
IEEE Access (2022) Vol. 10, pp. 38202-38236
Open Access | Times Cited: 30
Dynamic learning for imbalanced data in learning chest X-ray and CT images
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16807-e16807
Open Access | Times Cited: 15
Vision Transformers for Lung Segmentation on CXR Images
Rafik Ghali, Moulay A. Akhloufi
SN Computer Science (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 14
Detection of COVID-19 from chest x-ray images using transfer learning
J. Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, et al.
Journal of Medical Imaging (2021) Vol. 8, Iss. S1
Open Access | Times Cited: 31
Hybrid CLAHE-CNN Deep Neural Networks for Classifying Lung Diseases from X-ray Acquisitions
Fairouz Hussein, Ala Mughaid, Shadi AlZu’bi, et al.
Electronics (2022) Vol. 11, Iss. 19, pp. 3075-3075
Open Access | Times Cited: 25
A Comprehensive Review on Advancement in Deep Learning Techniques for Automatic Detection of Tuberculosis from Chest X-ray Images
Evans Kotei, Ramkumar Thirunavukarasu
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 455-474
Closed Access | Times Cited: 13
Application of Improved Support Vector Machine for Pulmonary Syndrome Exposure with Computer Vision Measures
Adil O. Khadidos, Abdulrhman M. Alshareef, Hariprasath Manoharan, et al.
Current Bioinformatics (2023) Vol. 19, Iss. 3, pp. 281-293
Closed Access | Times Cited: 12
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Samira Sajed, Amir Sanati, Jorge García, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110817-110817
Closed Access | Times Cited: 11
Lung Diseases Diagnosis-Based Deep Learning Methods: A Review
Shahad Ahmed Salih, Sadik Kamel Gharghan, Jinan F. Mahdi, et al.
Journal of Techniques (2023) Vol. 5, Iss. 3, pp. 158-173
Open Access | Times Cited: 11
UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification
Tianjie Dai, Ruipeng Zhang, Feng Hong, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 8, pp. 2901-2912
Open Access | Times Cited: 4
Stochastic Learning-Based Artificial Neural Network Model for an Automatic Tuberculosis Detection System Using Chest X-Ray Images
Shabana Urooj, S. Suchitra, K. Lalitha, et al.
IEEE Access (2022) Vol. 10, pp. 103632-103643
Open Access | Times Cited: 18
Analyzing the performance of a bio-sensor integrated improved blended learning model for accurate pneumonia prediction
S Lekshmy, Sridhar. K. P, Michaelraj Kingston Roberts
Results in Engineering (2024) Vol. 22, pp. 102063-102063
Open Access | Times Cited: 3
Early diagnosis of respiratory system diseases (RSD) using deep convolutional neural networks
Hatem A. Khater, Samah A. Gamel
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 9, pp. 12273-12283
Closed Access | Times Cited: 8
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
Nalika Ulapane, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top