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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:

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

Showing 26-50 of 51 citing articles:

An Integrated Framework for Early Differential Diagnosis of COVID-19 using Improved Fuzzy Cognitive Map Approaches
P. S. S. Akilashri, Govindasamy Nithya
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 23, pp. 2390-2400
Open Access | Times Cited: 1
Real-time infectious disease endurance indicator system for scientific decisions using machine learning and rapid data processing
Shivendra Dubey, Dinesh Verma, Mahesh Kumar
PeerJ Computer Science (2024) Vol. 10, pp. e2062-e2062
Open Access | Times Cited: 1
Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID
Wolfgang Mehringer, Maike Stoeve, Daniel Krauss, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Generalized external synchronization of networks based on clustered pandemic systems—The approach of Covid-19 towards influenza
Muhammad Marwan, Maoan Han, Rizwan Khan
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0288796-e0288796
Open Access | Times Cited: 3
Artificial Intelligence and Deep Learning Assisted Rapid Diagnosis of COVID-19 from Chest Radiographical Images: A Survey
Deepak Sinwar, Vijaypal Singh Dhaka, Biniyam Alemu Tesfaye, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 5
Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study
Е. А. Овчаренко, Anton G. Kutikhin, О. В. Груздева, et al.
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 2, pp. 39-39
Open Access | Times Cited: 2
Hybrid Feature Selection for COVID-19 Severity Prediction Using Cuckoo Search with SVM Framework
N Hari Priya, S Rajeswari
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 4, pp. 317-324
Open Access
FiltDeepNet: Architecture for COVID Detection based on Chest X-Ray Images
S. Sethu Selvi, Nikhil Agarwal, Paarth Barkur, et al.
Signals and communication technology (2024), pp. 399-411
Closed Access
Machine Learning Techniques for the Management of Diseases: A Paper Review
Ngolah Kenneth Tim, Vivient Corneille Kamla, Elie Fute Tagne
(2024), pp. 361-379
Closed Access
Introduction of artificial intelligence and machine learning
Mohammad Sufian Badar, Jishnu Pillai Anilkumar, Hussam Bin Mehare, et al.
Elsevier eBooks (2024), pp. 233-244
Closed Access
Covid and pneumonia detection through chest X-ray using deep learning
Ritik Agrawal, Shubham Singh, M. Gayathri
AIP conference proceedings (2024) Vol. 3075, pp. 020164-020164
Closed Access
COVID-19 Detection Ensemble Analysis with Advanced Feature Descriptors (CODEX-AFD) Using Machine Learning Techniques
R. Geethamani, A. Ranichitra
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access
Disease progression associated cytokines in COVID-19 patients with deteriorating and recovering health conditions
Eung Soo Han, Sohyun Youn, Ki Tae Kwon, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
COVID-19 Prediction using Linear Regression and Discrete Wavelet Transform
Saratu Yusuf Ilu, Krishna Mohan Pandey, Manoj Kumar, et al.
(2024), pp. 1-8
Closed Access
An adaptive ml model for covid-19 diagnosis in a smart hospital environment
Nana Yaw Duodu, Ben‐Bright Benuwa, Henry Techie-Menson
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
"COVID-19 Data Analytics Using Regression Techniques and Enhanced SIR Model"
G. Annapoorani, K. Jayasri
International Journal of Applied Engineering Research (2023) Vol. 18, Iss. 3, pp. 169-181
Open Access | Times Cited: 1
Empowering Healthcare with Machine Learning: A Comprehensive Review of Machine Learning-based COVID-19 Detection, Diagnosis and Treatment
Rupinder Kaur Walia
Journal of Advanced Research in Medical Science & Technology (2023) Vol. 10, Iss. 3&4, pp. 06-08
Open Access | Times Cited: 1
Deep-Learning-Based COVID-19 Detection: Challenges and Future Directions
Quratulain Arshad, Wazir Zada Khan, Faisal Azam, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 2, pp. 210-228
Open Access | Times Cited: 2
COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning
Mahbub Ul Alam, Jaakko Hollmén, Rahim Rahmani
(2023), pp. 646-653
Closed Access
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data
Lijia Wang, Y. X. Rachel Wang, Jingyi Jessica Li, et al.
Journal of the American Statistical Association (2023) Vol. 119, Iss. 545, pp. 39-51
Open Access
An Optimal Approach for Prediction of Covid-19 Based on Machine Learning and Deep Learning
Mansi Shukla, Neetesh Gupta, Bhawana Pillai
(2023), pp. 245-249
Closed Access
Prediction of COVID-19 Diagnosis based on Symptoms
Sonika Malik, Tanay Aggarwal
Research Square (Research Square) (2023)
Open Access
Detection of COVID-19 and Pneumonia using Chest X-ray Scans with Deep Learning
N. Divya
Advances in Computational Sciences and Technology (2023) Vol. 16, Iss. 1, pp. 27-34
Open Access
Performance Evaluation of Chest X-ray Image Based Deep Learning for COVID-19 Detection
Qiyue Xiang
(2023), pp. 718-722
Closed Access
A Multimodal Approach Utilizing the IOMT to Address both the Pandemic and its Aftermath
Manjula Gururaj Rao, Usha Divakarala, K. Hemant Kumar Reddy, et al.
(2023), pp. 1-7
Closed Access

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