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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 Detection in Chest X-ray Images Using a New Channel Boosted CNN
Saddam Hussain Khan, Anabia Sohail, Asifullah Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 267-267
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 139
Detection and analysis of COVID-19 in medical images using deep learning techniques
Dandi Yang, Cristhian Martinez, Lara Visuña, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 129
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Sameena Bibi, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2726-2726
Open Access | Times Cited: 75
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1779-1821
Open Access | Times Cited: 44
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: 43
COVID-19 detection in chest X-ray images using deep boosted hybrid learning
Saddam Hussain Khan, Anabia Sohail, Asifullah Khan, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104816-104816
Open Access | Times Cited: 73
Deep convolutional neural network and emotional learning based breast cancer detection using digital mammography
Naveed Chouhan, Asifullah Khan, Jehan Zeb Shah, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104318-104318
Closed Access | Times Cited: 65
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Ghazal Bargshady, Xujuan Zhou, Prabal Datta Barua, et al.
Pattern Recognition Letters (2021) Vol. 153, pp. 67-74
Open Access | Times Cited: 60
IoT malware detection architecture using a novel channel boosted and squeezed CNN
Muhammad Asam, Saddam Hussain Khan, Altaf Akbar, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 54
Generative adversarial network based data augmentation for CNN based detection of Covid-19
Rutwik Gulakala, Bernd Markert, Marcus Stoffel
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 37
Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
Chiagoziem C. Ukwuoma, Dongsheng Cai, Md Belal Bin Heyat, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101596-101596
Open Access | Times Cited: 37
Joint Diagnosis of Pneumonia, COVID-19, and Tuberculosis from Chest X-ray Images: A Deep Learning Approach
Mohammed Salih Ahmed, Atta Rahman, Faris AlGhamdi, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2562-2562
Open Access | Times Cited: 30
Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
Giovanni Irmici, Maurizio Cè, Elena Caloro, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 216-216
Open Access | Times Cited: 29
COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs
Saddam Hussain Khan, Javed Iqbal, Syed Agha Hassnain, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120477-120477
Open Access | Times Cited: 28
A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques
Kavitha Subramaniam, Natesan Palanisamy, A. S. Renugadevi, et al.
Soft Computing (2023) Vol. 27, Iss. 19, pp. 14219-14240
Open Access | Times Cited: 21
Brain Tumor MRI Classification Using a Novel Deep Residual and Regional CNN
Mirza Mumtaz Zahoor, Saddam Hussain Khan, Tahani Jaser Alahmadi, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1395-1395
Open Access | Times Cited: 12
OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks
Ziquan Zhu, Lu Liu, Robert C. Free, et al.
Information Sciences (2024) Vol. 680, pp. 121141-121141
Open Access | Times Cited: 10
Explainable deep learning diagnostic system for prediction of lung disease from medical images
Nussair Adel Hroub, Ali Nader Alsannaa, Maad Alowaifeer, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108012-108012
Closed Access | Times Cited: 8
Traffic Flow Management of Autonomous Vehicles Using Deep Reinforcement Learning and Smart Rerouting
Anum Mushtaq, Irfan Ul Haq, Muhammad Usman Imtiaz, et al.
IEEE Access (2021) Vol. 9, pp. 51005-51019
Open Access | Times Cited: 40
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network
Md. Nahiduzzaman, Md. Rabiul Islam, Rakibul Hassan
Expert Systems with Applications (2022) Vol. 211, pp. 118576-118576
Open Access | Times Cited: 36
Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation
Rutwik Gulakala, Bernd Markert, Marcus Stoffel
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107262-107262
Open Access | Times Cited: 34
Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review
Farrukh Saleem, Abdullah Alghamdi, Madini O. Alassafi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 9, pp. 5099-5099
Open Access | Times Cited: 33
Classification and Localization of Multi-Type Abnormalities on Chest X-Rays Images
Abdussalam Elhanashi, Sergio Saponara, Qinghe Zheng
IEEE Access (2023) Vol. 11, pp. 83264-83277
Open Access | Times Cited: 17
Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
Hassan K. Ahmad, Michael Milne, Quinlan D. Buchlak, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 743-743
Open Access | Times Cited: 15
COVID-19 severity detection using chest X-ray segmentation and deep learning
Tinku Singh, Suryanshi Mishra, Riya Kaur Kalra, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
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