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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:

Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks
Haruna Chiroma, Absalom E. Ezugwu, Fatsuma Jauro, et al.
PeerJ Computer Science (2020) Vol. 6, pp. e313-e313
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics
Nana Liu, Zeshui Xu, Marinko Škare
Oeconomia Copernicana (2021) Vol. 12, Iss. 2, pp. 217-268
Open Access | Times Cited: 57
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: 51
Developing metrics for emerging technologies: identification and assessment
Mehdi Zamani, Haydar Yalçın, Ali Bonyadi Naeini, et al.
Technological Forecasting and Social Change (2022) Vol. 176, pp. 121456-121456
Closed Access | Times Cited: 40
The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19
Panagiota Galetsi⁠, Korina Katsaliaki, Sameer Kumar
Social Science & Medicine (2022) Vol. 301, pp. 114973-114973
Open Access | Times Cited: 38
Unearthing Hidden Research Opportunities Through Bibliometric Analysis: A Review

Asian Journal of Research in Education and Social Sciences (2023)
Open Access | Times Cited: 31
On the role of artificial intelligence in medical imaging of COVID-19
Jannis Born, David Beymer, Deepta Rajan, et al.
Patterns (2021) Vol. 2, Iss. 6, pp. 100269-100269
Open Access | Times Cited: 52
CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection
Olaide N. Oyelade, Absalom E. Ezugwu, Haruna Chiroma
IEEE Access (2021) Vol. 9, pp. 77905-77919
Open Access | Times Cited: 47
Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead
Amina Adadi, Mohammed Lahmer, Samia Nasiri
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 5898-5920
Open Access | Times Cited: 43
Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images
Sohamkumar Chauhan, Damoder Reddy Edla, Vijayasree Boddu, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Hybrid of deep recurrent network and long short term memory for rear-end collision detection in fog based internet of vehicles
Mubarak Almutairi, Khalid Almutairi, Haruna Chiroma
Expert Systems with Applications (2022) Vol. 213, pp. 119033-119033
Closed Access | Times Cited: 22
Bibliometrics: Application Opportunities and Limitations
Alois Matorevhu
IntechOpen eBooks (2024)
Closed Access | Times Cited: 4
Deep Learning for COVID-19 Diagnosis from CT Images
Andrea Loddo, Fabio Pili, Cecilia Di Ruberto
Applied Sciences (2021) Vol. 11, Iss. 17, pp. 8227-8227
Open Access | Times Cited: 24
Reshaping Healthcare: A Bibliometric Analysis of Lessons Learned in Post-COVID-19 Health Policy
Azliyana Azizan, Khairul Hafezad Abdullah, Sri Ratna Rahayu, et al.
Kesmas National Public Health Journal (2023) Vol. 18, Iss. 3, pp. 18-18
Open Access | Times Cited: 8
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Alaa Abd‐Alrazaq, Abdulqadir J. Nashwan, Zubair Shah, et al.
JMIR Formative Research (2024) Vol. 8, pp. e49411-e49411
Open Access | Times Cited: 2
Novel multi-site graph convolutional network with supervision mechanism for COVID-19 diagnosis from X-ray radiographs
Ahmed Elazab, Mohamed Abd Elfattah, Yuexin Zhang
Applied Soft Computing (2021) Vol. 114, pp. 108041-108041
Open Access | Times Cited: 15
Differential evolution and particle swarm optimization against COVID-19
A. Piotrowski, Agnieszka E. Piotrowska
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2149-2219
Open Access | Times Cited: 14
Metabolomics, Microbiomics, Machine learning during the COVID‐19 pandemic
Flaminia Bardanzellu, Vassilios Fanos
Pediatric Allergy and Immunology (2022) Vol. 33, Iss. S27, pp. 86-88
Open Access | Times Cited: 9
Publications on COVID-19 in radiology journals in 2020 and 2021: bibliometric citation and co-citation network analysis
Antonio Navarro Ballester, Jose Bonilla, L.H. Ros-Mendoza, et al.
European Radiology (2022) Vol. 33, Iss. 5, pp. 3103-3114
Open Access | Times Cited: 8
Development of computer-aided model to differentiate COVID-19 from pulmonary edema in lung CT scan: EDECOVID-net
Elena Velichko, Faridoddin Shariaty, Mahdi Orooji, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105172-105172
Open Access | Times Cited: 11
Reshaping Healthcare: A Bibliometric Analysis of Lessons Learned in Post-COVID-19 Health Policy
Azliyana Azizan, Khairul Hafezad Abdullah, Sri Ratna Rahayu, et al.
Kesmas National Public Health Journal (2023) Vol. 18, Iss. sp1, pp. 18-18
Open Access | Times Cited: 4
Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond
Imad Afyouni, Ibrahim A. Hashim, Zaher Al Aghbari, et al.
Applied Spatial Analysis and Policy (2024) Vol. 17, Iss. 3, pp. 1359-1411
Closed Access | Times Cited: 1
Bibliometric analysis for artificial intelligence in the internet of medical things: mapping and performance analysis
Haruna Chiroma, Mohamed Hashem, Mohammed Maray
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 1
Bibliometrics of Latin American research on COVID-19 in the first year of the pandemic: the main trends
Wen-Ta Chiu, Yuh‐Shan Ho
Revista de Biología Tropical (2021) Vol. 69, Iss. 4, pp. 1306-1321
Open Access | Times Cited: 8
Probabilistic reasoning for diagnosis prediction of Coronavirus disease based on probabilistic ontology
Messaouda Fareh, Ishak Riali, Hafsa Kherbache, et al.
Computer Science and Information Systems (2023) Vol. 20, Iss. 3, pp. 1109-1132
Open Access | Times Cited: 2
COVID-19 studies involving machine learning methods: A bibliometric study
Arzu Baygül, Alev Bakır Kayı, Mustafa Genco Erdem, et al.
Medicine (2023) Vol. 102, Iss. 43, pp. e35564-e35564
Open Access | Times Cited: 2
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