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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:

Densely attention mechanism based network for COVID-19 detection in chest X-rays
Zahid Ullah, Muhammad Usman, Siddique Latif, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 49
Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification
İshak Paçal, Ömer Çelik, Bilal Bayram, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 11187-11212
Open Access | Times Cited: 18
Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI
Hasan Khanfari, Saeed Mehranfar, Mohsen Cheki, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 32
A survey on deep learning models for detection of COVID-19
Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 16945-16973
Open Access | Times Cited: 24
Advancing lung cancer diagnosis: Combining 3D auto-encoders and attention mechanisms for CT scan analysis
Meng Wang, Zi Yang, Ruifeng Zhao
Journal of X-Ray Science and Technology (2025)
Closed Access
Intelligent healthcare system for IoMT-integrated sonography: Leveraging multi-scale self-guided attention networks and dynamic self-distillation
Muhammad Usman, Azka Rehman, Sharjeel Masood, et al.
Internet of Things (2024) Vol. 25, pp. 101065-101065
Open Access | Times Cited: 4
Opportunistic AI for enhanced cardiovascular disease risk stratification using abdominal CT
Azka Rehman, Jae-Won Kim, Lee Hyeokjong, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 120, pp. 102493-102493
Closed Access
FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells
Hussain Ahmad Madni, Rao Muhammad Umer, Silvia Zottin, et al.
International Journal of Medical Informatics (2025) Vol. 195, pp. 105806-105806
Open Access
Capsule network approach for monkeypox (CAPSMON) detection and subclassification in medical imaging system
M. Nuthal Srinivasan, Mohamed Yacin Sikkandar, Maryam Alhashim, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Enhanced lung cancer subtype classification using attention-integrated DeepCNN and radiomic features from CT images: a focus on feature reproducibility
Muna Alsallal, Hanan Hassan Ahmed, Radhwan Abdul Kareem, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Learning‐based image mapping for degraded documents on E‐paper display
Xianbin Zhang, Shufan Pei, Liqun Lin, et al.
Journal of the Society for Information Display (2025)
Closed Access
Multi-class deep learning architecture for classifying lung diseases from chest X-Ray and CT images
Mona Hmoud AlSheikh, Omran Al Dandan, Ahmad Sami Al-Shamayleh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Automatic Detection of COVID-19 from Chest X-Ray Images Using EfficientNet-B7 CNN Model with Channel-wise Attention
Mohamed Rami Naidji, Zakaria Elberrichi
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 1443-1456
Open Access | Times Cited: 2
Parkinson's image detection and classification based on deep learning
Hui Li, Zixuan Yang, Weimin Qi, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
A Novel End-to-End Unsupervised Change Detection Method with Self-Adaptive Superpixel Segmentation for SAR Images
Linxia Ji, Jinqi Zhao, Zheng Zhao
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1724-1724
Open Access | Times Cited: 5
DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs
Muhammad Umar Farooq, Zahid Ullah, Asifullah Khan, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107570-107570
Closed Access | Times Cited: 5
A Machine Learning-based Method for COVID-19 and Pneumonia Detection
Khan Qazi Waqas
IgMin Research (2024) Vol. 2, Iss. 7, pp. 518-523
Closed Access | Times Cited: 1
Attention-enhanced dilated convolution for Parkinson’s disease detection using transcranial sonography
Shuang Chen, Yuting Shi, Linlin Wan, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review
Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2517-e2517
Open Access | Times Cited: 1
Brain CT image classification based on mask RCNN and attention mechanism
Shoulin Yin, Hang Li, Lin Teng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Blockchain-Based Recycling Platform Using Image Processing, QR Codes, and IoT System
Emin Borandağ
Sustainability (2023) Vol. 15, Iss. 7, pp. 6116-6116
Open Access | Times Cited: 4
DeepCOVID-Fuse: A Multi-Modality Deep Learning Model Fusing Chest X-rays and Clinical Variables to Predict COVID-19 Risk Levels
Yunan Wu, Amil Dravid, Ramsey M. Wehbe, et al.
Bioengineering (2023) Vol. 10, Iss. 5, pp. 556-556
Open Access | Times Cited: 4
Data Augmentation in Classifying Chest Radiograph Images (CXR) Using DCGAN-CNN
C. Rajeev, Karthika Natarajan
Springer eBooks (2023), pp. 91-110
Closed Access | Times Cited: 4
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing
Jianfeng Yu, Kai Qiu, Pengju Wang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 3
COVID-Net Biochem: an explainability-driven framework to building machine learning models for predicting survival and kidney injury of COVID-19 patients from clinical and biochemistry data
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
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