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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.

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Showing 1-25 of 186 citing articles:

Comparative study of machine learning methods for COVID-19 transmission forecasting
Abdelkader Dairi, Fouzi Harrou, Abdelhafid Zeroual, et al.
Journal of Biomedical Informatics (2021) Vol. 118, pp. 103791-103791
Open Access | Times Cited: 142
Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques
Shimpy Goyal, Rajiv Singh
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 4, pp. 3239-3259
Open Access | Times Cited: 123
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm
Tianqing Hu, Mohammad Khishe, Mokhtar Mohammadi, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102764-102764
Open Access | Times Cited: 122
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images
Chengfeng Cai, Bingchen Gou, Mohammad Khishe, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119206-119206
Open Access | Times Cited: 119
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
Vinayakumar Ravi, Harini Narasimhan, Chinmay Chakraborty, et al.
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1401-1415
Open Access | Times Cited: 111
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Ashis Kumar Paul, Arpan Basu, Mufti Mahmud, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 16113-16127
Open Access | Times Cited: 72
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion
Lingzhi Kong, Jinyong Cheng
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103772-103772
Open Access | Times Cited: 67
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images
Md. Khabir Uddin Ahamed, Manowarul Islam, Md Ashraf Uddin, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 105014-105014
Open Access | Times Cited: 98
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets
Mesut Toğaçar
Computers in Biology and Medicine (2021) Vol. 137, pp. 104827-104827
Closed Access | Times Cited: 88
COVID-19 Detection System Using Chest CT Images and Multiple Kernels-Extreme Learning Machine Based on Deep Neural Network
Muammer Türkoğlu
IRBM (2021) Vol. 42, Iss. 4, pp. 207-214
Open Access | Times Cited: 77
A systematic review on AI/ML approaches against COVID-19 outbreak
Onur Doğan, Sanju Tiwari, M. A. Jabbar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2655-2678
Open Access | Times Cited: 74
COVID-19 detection from CT scans using a two-stage framework
Arpan Basu, Khalid Hassan Sheikh, Erik Cuevas, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116377-116377
Open Access | Times Cited: 66
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: 66
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification
Fayadh Alenezi, Ammar Armghan, Kemal Polat
Expert Systems with Applications (2022) Vol. 213, pp. 119064-119064
Closed Access | Times Cited: 62
An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19
Serena Low Woan Ching, Joon Huang Chuah, Clarence Augustine TH Tee, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 58
A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Mehrdad Rostami, Mourad Oussalah
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100941-100941
Open Access | Times Cited: 53
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 50
SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images
Usman Muhammad, Md Ziaul Hoque, Mourad Oussalah, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108207-108207
Open Access | Times Cited: 39
RETRACTED ARTICLE: Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm
Abobaker Mohammed Qasem Farhan, Shangming Yang
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 38561-38587
Open Access | Times Cited: 37
Comparison of CNN Classification Model using Machine Learning with Bayesian Optimizer
Sugiyarto Surono, M. Yahya Firza Afitian, Anggi Setyawan, et al.
HighTech and Innovation Journal (2023) Vol. 4, Iss. 3, pp. 531-542
Open Access | Times Cited: 22
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: 8
COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases
Edoardo Vantaggiato, Emanuela Paladini, Fares Bougourzi, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1742-1742
Open Access | Times Cited: 53
C+EffxNet: A novel hybrid approach for COVID-19 diagnosis on CT images based on CBAM and EfficientNet
Murat Canayaz
Chaos Solitons & Fractals (2021) Vol. 151, pp. 111310-111310
Open Access | Times Cited: 50
Role of Artificial Intelligence in COVID-19 Detection
Anjan Gudigar, U. Raghavendra, Sneha Nayak, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8045-8045
Open Access | Times Cited: 49
Medical image processing and COVID-19: A literature review and bibliometric analysis
Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Muhammed Yousoof Ismail, et al.
Journal of Infection and Public Health (2021) Vol. 15, Iss. 1, pp. 75-93
Open Access | Times Cited: 48
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