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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:

COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA
Charlyn Nayve Villavicencio, Julio Jerison E. Macrohon, X. Alphonse Inbaraj, et al.
Algorithms (2021) Vol. 14, Iss. 7, pp. 201-201
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Machine learning models for prediction and classification of tool wear in sustainable milling of additively manufactured 316 stainless steel
Mohd Danish, Munish Kumar Gupta, Sayed Ameenuddin Irfan, et al.
Results in Engineering (2024) Vol. 22, pp. 102015-102015
Open Access | Times Cited: 19
Carbon emissions and overall sustainability assessment in eco-friendly machining of Monel-400 alloy
Nimel Sworna Ross, Ritu Rai, M. Belsam Jeba Ananth, et al.
Sustainable materials and technologies (2023) Vol. 37, pp. e00675-e00675
Open Access | Times Cited: 38
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 11
A decision support system for automated diagnosis of Parkinson’s disease from EEG using FAWT and entropy features
Parikha Chawla, Shashi B. Rana, Hardeep Kaur, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104116-104116
Closed Access | Times Cited: 30
Predicting anxiety, depression, and insomnia among Bangladeshi university students using tree‐based machine learning models
Arman Hossain Chowdhury, Dana Rad, Md. Siddikur Rahman
Health Science Reports (2024) Vol. 7, Iss. 4
Open Access | Times Cited: 6
Human factors engineering simulated analysis in administrative, operational and maintenance loops of nuclear reactor control unit using artificial intelligence and machine learning techniques
Abdulrahman Khamaj, Abdulelah M. Ali, Rajasekaran Saminathan, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e30866-e30866
Open Access | Times Cited: 5
Using Decision Trees and Random Forest Algorithms to Predict and Determine Factors Contributing to First-Year University Students’ Learning Performance
Thao-Trang Huynh-Cam, Long‐Sheng Chen, Huynh M. Le
Algorithms (2021) Vol. 14, Iss. 11, pp. 318-318
Open Access | Times Cited: 39
Development of a Machine Learning Based Web Application for Early Diagnosis of COVID-19 Based on Symptoms
Charlyn Nayve Villavicencio, Julio Jerison E. Macrohon, X. Alphonse Inbaraj, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 821-821
Open Access | Times Cited: 16
An effective crop recommendation method using machine learning techniques
Disha Garg, Mansaf Alam
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 102
Open Access | Times Cited: 9
Predicting wetland area and water depth in Barind plain of India
Pankaj Singha, Swades Pal
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 47, pp. 70933-70949
Closed Access | Times Cited: 13
Integration of ontology with machine learning to predict the presence of covid-19 based on symptoms
Hakim El Massari, Noreddine Gherabi, Sajida Mhammedi, et al.
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 5, pp. 2805-2816
Open Access | Times Cited: 12
Graph data science and machine learning for the detection of COVID-19 infection from symptoms
Eman Alqaissi, Fahd S. Alotaibi, Muhammad Sher Ramzan
PeerJ Computer Science (2023) Vol. 9, pp. e1333-e1333
Open Access | Times Cited: 7
A Semi-Supervised Machine Learning Approach in Predicting High-Risk Pregnancies in the Philippines
Julio Jerison E. Macrohon, Charlyn Nayve Villavicencio, X. Alphonse Inbaraj, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2782-2782
Open Access | Times Cited: 11
Machine Learning-Based COVID-19 Diagnosis by Demographic Characteristics and Clinical Data
Fatemeh Abdollah Gorji, Sajad Shafiekhani, Peyman Namdar, et al.
Advances in respiratory medicine (2022) Vol. 90, Iss. 2, pp. 171-183
Open Access | Times Cited: 9
Early and Rapid COVID-19 Diagnosis Using a Symptom-Based Machine Learning Model
Abdul Samad, Muhammed Kürşad Uçar
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1537-1543
Open Access | Times Cited: 1
Diagnosis of autism spectrum disorder using EEMD and multiscale fluctuation based dispersion entropy with Bayesian optimized light GBM
Parikha Chawla, Shashi B. Rana, Hardeep Kaur, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65341-65362
Closed Access | Times Cited: 1
Forecasting Short-Term FTSE Bursa Malaysia Using WEKA
Nurhuda Nizar, Ahmad Danial Zainudin, Ali Albada, et al.
Information Management and Business Review (2024) Vol. 16, Iss. 2(I)S, pp. 104-114
Open Access | Times Cited: 1
Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier
Syed Ali Jafar Zaidi, Saad Tariq, Samir Brahim Belhaouari
Data (2021) Vol. 6, Iss. 11, pp. 112-112
Open Access | Times Cited: 11
COVID-19 Prognosis and Mortality Risk Predictions from Symptoms: A Cloud-Based Smartphone Application
Ocean Monjur, Rahat Bin Preo, Abdullah Bin Shams, et al.
BioMed (2021) Vol. 1, Iss. 2, pp. 114-125
Open Access | Times Cited: 9
COVID-19 Outbreak Prediction by Using Machine Learning Algorithms
Tahir Sher, Abdul Rehman, Dongsun Kim
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 1, pp. 1561-1574
Open Access | Times Cited: 6
A Machine Learning-driven IoT Architecture for Predicting the Growth and Trend of Covid-19 Epidemic Outbreaks to Identify High-risk Locations
Charles Rajesh Kumar. J, Mary Arunsi. B, M. A. Majid
(2023), pp. 120-127
Closed Access | Times Cited: 3
Comparison of Machine Learning Performance Using Naive Bayes and Random Forest Methods to Classify Batik Fabric Patterns
Abdul Fadlil, Imam Riadi, Izzan Julda D.E Purwadi Putra
Revue d intelligence artificielle (2023) Vol. 37, Iss. 2, pp. 379-385
Open Access | Times Cited: 3
Resurgence of artificial intelligence in healthcare: A survey
Soumyajit Bera, Simranpreet Kour Bali, Ravinder Kaur
AIP conference proceedings (2023) Vol. 2705, pp. 020012-020012
Closed Access | Times Cited: 3
Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms
Nur Atiqah Rochin Demong, Melissa Shahrom, Ramita Abdul Rahim, et al.
Journal of Information and Communication Technology (2023) Vol. 22, Iss. 4, pp. 545-585
Open Access | Times Cited: 3
Time series forecasting and mathematical modeling of COVID-19 pandemic in India: a developing country struggling to cope up
Vidhi Vig, Anmol Kaur
International Journal of Systems Assurance Engineering and Management (2022) Vol. 13, Iss. 6, pp. 2920-2933
Open Access | Times Cited: 5
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