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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:

Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand “ThaiChana”
Ardvin Kester S. Ong, Thanatorn Chuenyindee, Yogi Tri Prasetyo, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 10, pp. 6111-6111
Open Access | Times Cited: 25

Showing 25 citing articles:

Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach
Josephine D. German, Ardvin Kester S. Ong, Anak Agung Ngurah Perwira Redi, et al.
Heliyon (2022) Vol. 8, Iss. 11, pp. e11382-e11382
Open Access | Times Cited: 40
A Machine Learning Ensemble Approach for Predicting Factors Affecting STEM Students’ Future Intention to Enroll in Chemistry-Related Courses
Ardvin Kester S. Ong
Sustainability (2022) Vol. 14, Iss. 23, pp. 16041-16041
Open Access | Times Cited: 37
Utilizing Structural Equation Modeling–Artificial Neural Network Hybrid Approach in Determining Factors Affecting Perceived Usability of Mobile Mental Health Application in the Philippines
Nattakit Yuduang, Ardvin Kester S. Ong, Nicole B. Vista, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 11, pp. 6732-6732
Open Access | Times Cited: 31
Predicting Factors Affecting Preparedness of Volcanic Eruption for a Sustainable Community: A Case Study in the Philippines
Josephine D. German, Anak Agung Ngurah Perwira Redi, Ardvin Kester S. Ong, et al.
Sustainability (2022) Vol. 14, Iss. 18, pp. 11329-11329
Open Access | Times Cited: 28
Purchasing Intentions Analysis of Hybrid Cars Using Random Forest Classifier and Deep Learning
Ardvin Kester S. Ong, Lara Nicole Z. Cordova, Franscine Althea B. Longanilla, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 8, pp. 227-227
Open Access | Times Cited: 14
Classification modeling of intention to donate for victims of Typhoon Odette using deep learning neural network
Josephine D. German, Ardvin Kester S. Ong, Anak Agung Ngurah Perwira Redi, et al.
Environmental Development (2023) Vol. 45, pp. 100823-100823
Open Access | Times Cited: 13
Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand
Ardvin Kester S. Ong, Yogi Tri Prasetyo, Nattakit Yuduang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 13, pp. 7979-7979
Open Access | Times Cited: 22
Determining Factors Affecting the Perceived Preparedness of Super Typhoon: Three Broad Domains of Ergonomics Approach
Ma. Janice J. Gumasing, Yogi Tri Prasetyo, Ardvin Kester S. Ong, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12202-12202
Open Access | Times Cited: 21
Factors influencing the perceived usability of wearable chair exoskeleton with market segmentation: A structural equation modeling and K-Means Clustering approach
Ma. Janice J. Gumasing, Yogi Tri Prasetyo, Ardvin Kester S. Ong, et al.
International Journal of Industrial Ergonomics (2022) Vol. 93, pp. 103401-103401
Closed Access | Times Cited: 21
The roles of privacy concerns and trust in voluntary use of governmental proximity tracing applications
Marina Trkman, Aleš Popovič, Peter Trkman
Government Information Quarterly (2022) Vol. 40, Iss. 1, pp. 101787-101787
Open Access | Times Cited: 21
Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning
Simeon Stevenson Turay, Charles A. Adams, Augustus Ababio-Donkor
Transportation Planning and Technology (2024), pp. 1-30
Closed Access | Times Cited: 3
An Improved Breast Cancer Classification Method Using an Enhanced AdaBoost Classifier
Yousef Qawqzeh, Abdullah Alourani, Sameh Ghwanmeh
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Utilizing a machine learning ensemble to evaluate the service quality and passenger satisfaction among public transportations
Ardvin Kester S. Ong, Taniah Ivan F. Agcaoili, Duke Elijah R. Juan, et al.
Journal of Public Transportation (2023) Vol. 25, pp. 100076-100076
Open Access | Times Cited: 7
Investigating Factors Affecting Behavioral Intention among Gym-Goers to Visit Fitness Centers during the COVID-19 Pandemic: Integrating Physical Activity Maintenance Theory and Social Cognitive Theory
Ardvin Kester S. Ong, Yogi Tri Prasetyo, Godwin M. Bagon, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12020-12020
Open Access | Times Cited: 12
Machine Learning Decision System on the Empirical Analysis of the Actual Usage of Interactive Entertainment: A Perspective of Sustainable Innovative Technology
Rex Revian A. Guste, Ardvin Kester S. Ong
Computers (2024) Vol. 13, Iss. 6, pp. 128-128
Open Access | Times Cited: 2
Determining the factors affecting implementation of health and safety app towards improvement of safety culture: A study in school of engineering building
William Davin D. Perez, Yogi Tri Prasetyo, Maela Madel L. Cahigas, et al.
Acta Psychologica (2024) Vol. 250, pp. 104527-104527
Open Access | Times Cited: 2
Analysis of Factors Affecting Purchase of Self-Defense Tools among Women: A Machine Learning Ensemble Approach
Riañina D. Borres, Ardvin Kester S. Ong, Tyrone Wyeth O. Arceno, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3003-3003
Open Access | Times Cited: 5
Determining the Factors Affecting a Career Shifter’s Use of Software Testing Tools amidst the COVID-19 Crisis in the Philippines: TTF-TAM Approach
Ardvin Kester S. Ong, Yogi Tri Prasetyo, Ralph Andre C. Roque, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 11084-11084
Open Access | Times Cited: 8
Utilizing SEM-RFC to predict factors affecting online shopping cart abandonment during the COVID-19 pandemic
Ardvin Kester S. Ong, Marjorie Joy R. Dejucos, Mary Anne F. Rivera, et al.
Heliyon (2022) Vol. 8, Iss. 11, pp. e11293-e11293
Open Access | Times Cited: 7
RETRACTED: Predicting factors influencing perceived online learning experience among primary students utilizing structural equation modeling Forest Classifier approach
Ardvin Kester S. Ong, Yoshiki B. Kurata, Jairus J. Joyosa, et al.
European Review of Applied Psychology (2023) Vol. 73, Iss. 5, pp. 100868-100868
Open Access | Times Cited: 3
Super Typhoon Rai’s Impacts on Siargao Tourism: Deciphering Tourists’ Revisit Intentions through Machine-Learning Algorithms
Maela Madel L. Cahigas, Ardvin Kester S. Ong, Yogi Tri Prasetyo
Sustainability (2023) Vol. 15, Iss. 11, pp. 8463-8463
Open Access | Times Cited: 2
Evaluation of Factors Affecting Ubiquitous Online Experience Learning Modality during the Near End of COVID-19: A Case Study in the Philippines
Ardvin Kester S. Ong, Michael N. Young
International Journal of Information and Education Technology (2023) Vol. 13, Iss. 7, pp. 1129-1134
Open Access | Times Cited: 2
Big data analytics on the impact of OMICRON and its influence on unvaccinated community through advanced machine learning concepts
Amalraj Irudayasamy, D Ganesh, M. Natesh, et al.
International Journal of Systems Assurance Engineering and Management (2022) Vol. 15, Iss. 1, pp. 346-355
Open Access | Times Cited: 4
Early prediction of COVID-19 infection using data mining and multi machine learning algorithms
Ahmed Jaddoa Enad, Mustafa Aksu
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 3, pp. 1771-1778
Open Access
Machine Learning and COVID-19: Lessons from SARS-CoV-2
Ugo Avila-Ponce de León, Aarón Vázquez-Jiménez, Alejandra Cervera, et al.
Advances in experimental medicine and biology (2023), pp. 311-335
Closed Access
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