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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 new COVID-19 intubation prediction strategy using an intelligent feature selection and K-NN method
Zahra Asghari Varzaneh, Azam Orooji, Leila Erfannia, et al.
Informatics in Medicine Unlocked (2021) Vol. 28, pp. 100825-100825
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Binary Starling Murmuration Optimizer Algorithm to Select Effective Features from Medical Data
Mohammad H. Nadimi-Shahraki, Zahra Asghari Varzaneh, Hoda Zamani, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 564-564
Open Access | Times Cited: 42
COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, et al.
Computer Communications (2022) Vol. 199, pp. 87-97
Open Access | Times Cited: 41
A hierarchical multi-leadership sine cosine algorithm to dissolving global optimization and data classification: The COVID-19 case study
Mingyang Zhong, Jiahui Wen, Jingwei Ma, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107212-107212
Closed Access | Times Cited: 23
Internet of Things with Deep Learning Techniques for Pandemic Detection: A Comprehensive Review of Current Trends and Open Issues
Sunday Adeola Ajagbe, Pragasen Mudali, Matthew O. Adigun
Electronics (2024) Vol. 13, Iss. 13, pp. 2630-2630
Open Access | Times Cited: 6
Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches
Mohammad Said Saidi, Mohammad Gheibi, Adel Ghazikhani, et al.
Soft Computing (2025)
Closed Access
Dynamic Coati Optimization Algorithm for Biomedical Classification Tasks
Essam H. Houssein, Nagwan Abdel Samee, Noha F. Mahmoud, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107237-107237
Open Access | Times Cited: 11
Enhancing Human–Computer Interaction in Online Education: A Machine Learning Approach to Predicting Student Emotion and Satisfaction
A. M. Mutawa, Sai Sruthi
International Journal of Human-Computer Interaction (2023), pp. 1-17
Open Access | Times Cited: 11
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
Miren Hayet-Otero, Fernando García-García, Dae‐Jin Lee, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284150-e0284150
Open Access | Times Cited: 10
Assessing the predictive capability of machine learning models in determining clinical outcomes for patients with cervical spondylotic myelopathy treated with laminectomy and posterior spinal fusion
Ehsan Alimohammadi, Elnaz Fatahi, Alireza Abdi, et al.
Patient Safety in Surgery (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Comparative analysis of feature selection techniques for COVID-19 dataset
Farideh Mohtasham, Mohamad Amin Pourhoseingholi, Seyed Saeed Hashemi Nazari, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
An improved equilibrium optimization algorithm for feature selection problem in network intrusion detection
Zahra Asghari Varzaneh, Soodeh Hosseini
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Explainable Artificial Intelligence Approach for the Early Prediction of Ventilator Support and Mortality in COVID-19 Patients
Nida Aslam
Computation (2022) Vol. 10, Iss. 3, pp. 36-36
Open Access | Times Cited: 12
Klasifikasi Penyakit Paru-Paru Berdasarkan Peningkatan Kualitas Kontras dan EfficientNet Menggunakan Gambar X-Ray
Asfa Dhevi Azzumzumi, Muhammad Hanafi, Windha Mega Pradnya Dhuhita
Teknika (2024) Vol. 13, Iss. 2, pp. 293-300
Open Access | Times Cited: 1
Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective
Marianna Weaver, Dylan A. Goodin, Hunter A. Miller, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A modified binary version of aphid–ant mutualism for feature selection: a COVID-19 case study
Nava Eslami, S Yazdani, Mohammad Mirzaei, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 2, pp. 549-577
Open Access | Times Cited: 4
K-nearest neighbors method prediction of the anti-corruption behavior index by region of residence
Rizkan Zulyadi, S. Surjanti, Ardhana Januar Mahardhani, et al.
AIP conference proceedings (2024) Vol. 3001, pp. 110004-110004
Open Access | Times Cited: 1
An improved mountain gazelle optimizer based on chaotic map and spiral disturbance for medical feature selection
Ying Li, Yanyu Geng, Huankun Sheng
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0307288-e0307288
Open Access | Times Cited: 1
The Predictive Performance of Risk Scores for the Outcome of COVID-19 in a 2-Year Swiss Cohort
Maria Boesing, Giorgia Lüthi-Corridori, David Büttiker, et al.
Biomedicines (2024) Vol. 12, Iss. 8, pp. 1702-1702
Open Access | Times Cited: 1
Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network
Jueng-Eun Im, Seung Park, Yu Jin Kim, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Performance evaluation of classifiers for the COVID-19 symptom-based dataset using different feature selection methods
Iliya Fauzan, Rosaida Rosly, Aceng Sambas
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 103
Open Access | Times Cited: 3
Real-Time Prediction for Neonatal Endotracheal Intubation Using Multimodal Transformer Network
Jueng-Eun Im, Shin-Ae Yoon, Yoon Mi Shin, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2625-2634
Open Access | Times Cited: 2
Supervised Machine Learning Approach to COVID-19 Detection Based on Clinical Data
Azita Yazdani, Maryam Zahmatkeshan, Ramin Ravangard, et al.
Medical Journal of the Islamic Republic of Iran (2022)
Open Access | Times Cited: 4
A hybrid contextual framework to predict severity of infectious disease: COVID-19 case study
M. Mehran Bin Azam, Fahad Anwaar, Adil Khan, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100508-100508
Open Access
A Comparison of Feature Construction Methods in the Context of Supervised Feature Selection for Classification
Duc Duy Nguyen, Christoph Lohrmann, Pasi Luukka
Lecture notes in networks and systems (2022), pp. 48-59
Closed Access | Times Cited: 3
Machine Learning-Driven Prediction of ICU Admissions for COVID-19 Patients
A. M. Mutawa
(2024)
Open Access
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