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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:

Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
Hossein Mohammad‐Rahimi, Mohadeseh Nadimi, Azadeh Ghalyanchi‐Langeroudi, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology
Guangming Jiang, Jiangping Wu, Jennifer Weidhaas, et al.
Water Research (2022) Vol. 218, pp. 118451-118451
Open Access | Times Cited: 74
Machine learning and orthodontics, current trends and the future opportunities: A scoping review
Hossein Mohammad‐Rahimi, Mohadeseh Nadimi, Mohammad Hossein Rohban, et al.
American Journal of Orthodontics and Dentofacial Orthopedics (2021) Vol. 160, Iss. 2, pp. 170-192.e4
Closed Access | Times Cited: 72
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
Mohanad Alkhodari, Ahsan H. Khandoker
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262448-e0262448
Open Access | Times Cited: 47
A survey of machine learning-based methods for COVID-19 medical image analysis
Kashfia Sailunaz, Tansel Özyer, Jon Rokne, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1257-1297
Open Access | Times Cited: 21
A multiclass deep learning algorithm for healthy lung, Covid-19 and pneumonia disease detection from chest X-ray images
Geethu Mohan, M. Monica Subashini, Shuba Balan, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 7
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
Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study
Hossein Mohammad‐Rahimi, Saeed Reza Motamadian, Mohadeseh Nadimi, et al.
The Korean Journal of Orthodontics (2022) Vol. 52, Iss. 2, pp. 112-122
Open Access | Times Cited: 36
Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: A high accuracy classification study
Farid Al-Areqi, Mehmet Zeki Konyar
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103662-103662
Open Access | Times Cited: 35
Tungsten oxide nanowires prepared by thermal oxidation for application in cold cathode flat panel x-ray source
Qi Liu, Zufang Lin, Guichen Song, et al.
Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena (2025) Vol. 43, Iss. 2
Closed Access
Predictive models for COVID-19 detection using routine blood tests and machine learning
Yury V. Kistenev, Denis A. Vrazhnov, Ekaterina E. Shnaider, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e11185-e11185
Open Access | Times Cited: 24
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
Kuang-Ming Kuo, Paul C. Talley, Chao-Sheng Chang
International Journal of Medical Informatics (2022) Vol. 164, pp. 104791-104791
Open Access | Times Cited: 22
A novel deep learning model to detect COVID-19 based on wavelet features extracted from Mel-scale spectrogram of patients’ cough and breathing sounds
Mohammed Aly, Nouf Saeed Alotaibi
Informatics in Medicine Unlocked (2022) Vol. 32, pp. 101049-101049
Open Access | Times Cited: 22
A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images
Susmita Hamal, Bhupesh Kumar Mishra, Robert A. Baldock, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100460-100460
Open Access | Times Cited: 4
Automated Diagnosis of COVID-19 Using Deep Features and Parameter Free BAT Optimization
Taranjit Kaur, Tapan Kumar Gandhi, Bijaya Ketan Panigrahi
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 9, pp. 1-9
Open Access | Times Cited: 31
Explainable Artificial Intelligence for COVID-19 Diagnosis Through Blood Test Variables
Lucas M. Thimoteo, Marley Vellasco, Jorge Amaral, et al.
Journal of Control Automation and Electrical Systems (2022) Vol. 33, Iss. 2, pp. 625-644
Open Access | Times Cited: 21
Classifier Fusion for Detection of COVID-19 from CT Scans
Taranjit Kaur, Tapan Kumar Gandhi
Circuits Systems and Signal Processing (2022) Vol. 41, Iss. 6, pp. 3397-3414
Open Access | Times Cited: 21
Carbon Emission Prediction Through the Harmonization of Extreme Learning Machine and INFO Algorithm
Afi Kekeli Feda, Oluwatayomi Rereloluwa Adegboye, Ephraim Bonah Agyekum, et al.
IEEE Access (2024) Vol. 12, pp. 60310-60328
Open Access | Times Cited: 3
Convolutional Neural Network for Monkeypox Detection
Vanessa Alcalá-Rmz, Karen E. Villagrana-Bañuelos, José M. Celaya-Padilla, et al.
Lecture notes in networks and systems (2022), pp. 89-100
Closed Access | Times Cited: 16
Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans
Francis Jesmar P. Montalbo
Multimedia Tools and Applications (2022) Vol. 81, Iss. 12, pp. 16411-16439
Open Access | Times Cited: 15
Screening of COVID-19 Based on GLCM Features from CT Images Using Machine Learning Classifiers
A. Beena Godbin, S. Graceline Jasmine
SN Computer Science (2022) Vol. 4, Iss. 2
Open Access | Times Cited: 15
Cn2a-capsnet: a capsule network and CNN-attention based method for COVID-19 chest X-ray image diagnosis
Hui Zhang, Ziwei Lv, Shengdong Liu, et al.
Deleted Journal (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 2
Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records
Seung Min Baik, Kyung Sook Hong, Dong Jin Park
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Scientific pertinence of developing machine learning technologies for the triage of COVID-19 patients: A bibliometric analysis via Scopus
Santiago Ballaz, Mary Pulgar-Sánchez, Kevin Chamorro, et al.
Informatics in Medicine Unlocked (2023) Vol. 41, pp. 101312-101312
Open Access | Times Cited: 6
WEENet: An Intelligent System for Diagnosing COVID-19 and Lung Cancer in IoMT Environments
Khan Muhammad, Hayat Ullah, Zulfiqar Ahmad Khan, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 10
COVID-19 Diagnosis and Classification Using Radiological Imaging and Deep Learning Techniques: A Comparative Study
Saloni Laddha, Sami Mnasri, Mansoor Alghamdi, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1880-1880
Open Access | Times Cited: 10
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