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:

COVID19 Diagnosis using AutoML from 3D CT scans
Talha Anwar
(2021), pp. 503-507
Open Access | Times Cited: 15

Showing 15 citing articles:

Automated Machine Learning (AutoML): an overview of opportunities for application and research
Vivek Kumar Singh, Kailash Joshi
Journal of Information Technology Case and Application Research (2022) Vol. 24, Iss. 2, pp. 75-85
Closed Access | Times Cited: 13

Deep learning-based automated COVID-19 classification from computed tomography images
Kenan Morani, Devrim Ünay
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 6, pp. 2145-2160
Open Access | Times Cited: 6

Advanced Artificial Intelligence Methods for Medical Applications
Thitirat Siriborvornratanakul
Lecture notes in computer science (2023), pp. 329-340
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

Let AI Perform Better Next Time—A Systematic Review of Medical Imaging-Based Automated Diagnosis of COVID-19: 2020–2022
Fan Liu, Delong Chen, Xiaocong Zhou, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3895-3895
Open Access | Times Cited: 9

A pyramid GNN model for CXR-based COVID-19 classification
Chang Jie, Jiming Chen, Shao Ying, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 4, pp. 5490-5508
Closed Access | Times Cited: 2

Analysis of Automated Forecasting Model Possibilities for Company Financial Accounting Data
Rokas Štrimaitis, Simona Ramanauskaitė, Pavel Stefanovič
(2023), pp. 1-6
Closed Access | Times Cited: 1

Health-AutoML: An Automatic Adaptive Multi-Layer Stacking Ensemble Learning Framework for Analyzing Healthcare Data
Ayeong Seong, Su-Yeon Kang, Yun-Gyeong Song, et al.
The Journal of Korean Institute of Information Technology (2024) Vol. 22, Iss. 1, pp. 23-37
Closed Access

COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images
Kenan Morani, Esra Kaya Ayana, Devrim Ünay
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1

Identification and Severity Assessment of COVID-19 Using Lung CT Scans
Anand Thyagachandran, Aathira Balachandran, Hema A. Murthy
IEEE Access (2023) Vol. 11, pp. 124542-124555
Open Access

An Analysis of COVID-19 and its Management by Saudi Arabia with Digital Technology
Abdullah Almuhammadi, Mohammad Yamin
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2022), pp. 01-05
Closed Access

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