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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: A framework of CNN-LSTM and improved max value moth flame optimization
Ameer Hamza, Muhammad Attique Khan, Shuihua Wang‎, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Mohaimenul Azam Khan Raiaan, Sadman Sakib, Nur Mohammad Fahad, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100470-100470
Open Access | Times Cited: 31
Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks
Ghazal Shamsipour, Shervan Fekri-Ershad, Mahdi Sharifi, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 3, pp. 2607-2620
Closed Access | Times Cited: 30
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: 10
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: 8
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: 7
D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans
Ameer Hamza, Muhammad Attique Khan, Majed Alhaisoni, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 101-101
Open Access | Times Cited: 33
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: 32
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
A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms
Esraa Mohamed, Tarek Gaber, Omar H. Karam, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0276523-e0276523
Open Access | Times Cited: 19
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images
Anandbabu Gopatoti, P. Vijayalakshmi
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104857-104857
Open Access | Times Cited: 8
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
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 novel multi class disease detection of chest x-ray images using deep learning with pre trained transfer learning models for medical imaging applications
Deema Mohammed Alsekait, K. Mahendran, Suresh Muthusamy, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Artificial intelligence in the healthcare sector: comparison of deep learning networks using chest X-ray images
Muhammed Akif YENİKAYA, Gökhan Kerse, Onur Oktaysoy
Frontiers in Public Health (2024) Vol. 12
Open 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
SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps
Oleksandr Davydko, Vladimir Pavlov, Przemysław Biecek, et al.
Communications in computer and information science (2024), pp. 3-23
Closed Access | Times Cited: 1
A CNN-transformer fusion network for COVID-19 CXR image classification
Kai Cao, Tao Deng, Chuanlin Zhang, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0276758-e0276758
Open Access | Times Cited: 7
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
Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method
Oleksandr Davydko, Vladimir Pavlov, Luca Longo
Communications in computer and information science (2023), pp. 671-687
Closed Access | Times Cited: 3
Quantum-Inspired Moth Flame Optimizer Enhanced Deep Learning for Automated Rice Variety Classification
Haya Mesfer Alshahrani, Muhammad Kashif Saeed, Saud S. Alotaibi, et al.
IEEE Access (2023) Vol. 11, pp. 125593-125600
Open Access | Times Cited: 3
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: 2
A Novel COVID-19 Image Classification Method Based on the Improved Residual Network
Hui Chen, Tian Zhang, Runbin Chen, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 80-80
Open Access | Times Cited: 3
Scale based entropy measures and deep learning methods for analyzing the dynamical characteristics of cardiorespiratory control system in COVID-19 subjects during and after recovery
Madini O. Alassafi, Wajid Aziz, Rayed AlGhamdi, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108032-108032
Closed Access
COVID-19 classification in X-ray/CT images using pretrained deep learning schemes
Narenthira Kumar Appavu, C. Nelson Kennedy Babu, Seifedine Kadry
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 83157-83177
Closed Access
Detection of multi‐class lung diseases based on customized neural network
Azmat Ali, Yulin Wang, Xiaochuan Shi
Computational Intelligence (2024) Vol. 40, Iss. 2
Closed Access
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