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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 deep learning-based framework for detecting COVID-19 patients using chest X-rays
Sohaib Asif, Ming Zhao, Fengxiao Tang, et al.
Multimedia Systems (2022) Vol. 28, Iss. 4, pp. 1495-1513
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Efficient pneumonia detection using Vision Transformers on chest X-rays
Sukhendra Singh, Manoj Kumar, Abhay Kumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection
Sohaib Asif, Ming Zhao, Yangfan Li, et al.
Neural Networks (2024) Vol. 173, pp. 106183-106183
Closed Access | Times Cited: 14
Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection
Sohaib Asif, Ming Zhao, Fengxiao Tang, et al.
Neural Networks (2023) Vol. 167, pp. 342-359
Closed Access | Times Cited: 26
An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Ercan Gürsoy, Yasin Kaya
Multimedia Systems (2023) Vol. 29, Iss. 3, pp. 1603-1627
Open Access | Times Cited: 20
AI-Based Approaches for the Diagnosis of Mpox: Challenges and Future Prospects
Sohaib Asif, Ming Zhao, Yangfan Li, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3585-3617
Closed Access | Times Cited: 9
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed 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: 6
An effective multiclass skin cancer classification approach based on deep convolutional neural network
Essam H. Houssein, Doaa A. Abdelkareem, Guang Hu, et al.
Cluster Computing (2024)
Open Access | Times Cited: 6
A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease
Saeed Iqbal, Adnan N. Qureshi, Musaed Alhussein, et al.
Expert Systems (2025) Vol. 42, Iss. 2
Closed Access
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
A Systematic Survey of Automatic Detection of Lung Diseases from Chest X-Ray Images: COVID-19, Pneumonia, and Tuberculosis
Shiva Prasad Koyyada, Thipendra P. Singh
SN Computer Science (2024) Vol. 5, Iss. 2
Closed Access | Times Cited: 3
LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network
Sohaib Asif, Q Ul Ain, Raeed Al-Sabri, et al.
Journal of Computational Science (2024) Vol. 80, pp. 102324-102324
Closed Access | Times Cited: 3
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
Amna Kosar, Muhammad Asif, Maaz Bin Ahmad, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102858-102858
Closed Access | Times Cited: 3
An evaluation of lightweight deep learning techniques in medical imaging for high precision COVID-19 diagnostics
Ogechukwu Ukwandu, Hanan Hindy, Elochukwu Ukwandu
Healthcare Analytics (2022) Vol. 2, pp. 100096-100096
Open Access | Times Cited: 15
DCDS-Net: Deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases
Sohaib Asif, Ming Zhao, Fengxiao Tang, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105866-105866
Closed Access | Times Cited: 8
Relation-aware graph convolutional network for waste battery inspection based on X-ray images
Yangke Li, Xinman Zhang
Sustainable Energy Technologies and Assessments (2024) Vol. 63, pp. 103651-103651
Closed Access | Times Cited: 2
A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection
Sohaib Asif, Qurrat Ul Ain
Applied Soft Computing (2024) Vol. 158, pp. 111595-111595
Closed Access | Times Cited: 2
StoneNet: An Efficient Lightweight Model Based on Depthwise Separable Convolutions for Kidney Stone Detection from CT Images
Sohaib Asif, Ming Zhao, Xuehan Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 4, pp. 633-652
Closed Access | Times Cited: 7
LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19
Sohaib Asif, Ming Zhao, Fengxiao Tang, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23967-24003
Closed Access | Times Cited: 6
Covid-19 detection using modified xception transfer learning approach from computed tomography images
Kenan Morani, Esra Kaya Ayana, Devrim Ünay
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 3, pp. 524-524
Open Access | Times Cited: 6
Research on PCB defect detection based on SSD
Litian Kang, Yawei Ge, Hong Huang, et al.
2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) (2022)
Closed Access | Times Cited: 11
An optimized ensemble model bfased on cuckoo search with Levy Flight for automated gastrointestinal disease detection
Zafran Waheed, Jinsong Gui
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
A deep ensemble learning framework for COVID-19 detection in chest X-ray images
Sohaib Asif, Qurrat Ul Ain, Muhammad Awais, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Deep learning framework for classification of COVID-19 from Chest X-rays
Anandbabu Gopatoti
International Journal of Scientific Methods in Intelligence Engineering Networks (2023) Vol. 01, Iss. 01, pp. 25-36
Open Access | Times Cited: 4
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