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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:

An Ensemble Machine Learning Approach For Time Series Forecasting of COVID-19 Cases
Renato R. Maaliw, Melvin A. Ballera, Zoren P. Mabunga, et al.
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (2021), pp. 0633-0640
Closed Access | Times Cited: 17

Showing 17 citing articles:

Machine Learning and Prediction of Infectious Diseases: A Systematic Review
Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 175-198
Open Access | Times Cited: 54
A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification
Renato R. Maaliw, Julie Ann B. Susa, Alvin Sarraga Alon, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2022), pp. 111-117
Closed Access | Times Cited: 32
A Multistage Transfer Learning Approach for Acute Lymphoblastic Leukemia Classification
Renato R. Maaliw, Alvin Sarraga Alon, Ace C. Lagman, et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2022)
Closed Access | Times Cited: 26
Long-term prediction of time series based on fuzzy time series and information granulation
Yunzhen Liu, Lidong Wang
Granular Computing (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 4
Cataract Detection and Grading Using Ensemble Neural Networks and Transfer Learning
Renato R. Maaliw, Alvin Sarraga Alon, Ace C. Lagman, et al.
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (2022), pp. 0074-0081
Closed Access | Times Cited: 19
Employability Prediction of Engineering Graduates Using Ensemble Classification Modeling
Renato R. Maaliw, Karen Anne C. Quing, Ace C. Lagman, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2022), pp. 0288-0294
Closed Access | Times Cited: 11
Long-Term Water Quality Prediction Using Integrated Water Quality Indices and Advanced Deep Learning Models: A Case Study of Chaohu Lake, China, 2019–2022
Siyi Yao, Yongheng Zhang, Peng Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11329-11329
Open Access | Times Cited: 8
TiDEFormer—a heterogenous stacking ensemble approach for time series forecasting of COVID-19 prevalence
Satya Prakash, Anand Singh Jalal, Pooja Pathak
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level
Ioannis Kavouras, Maria Kaselimi, Eftychios Protopapadakis, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3658-3658
Open Access | Times Cited: 6
A Personalized Virtual Learning Environment Using Multiple Modeling Techniques
Renato R. Maaliw
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2021) Vol. 24, pp. 0008-0015
Closed Access | Times Cited: 5
An Optimized Soil Moisture Prediction Model for Smart Agriculture Using Gaussian Process Regression
Zoren P. Mabunga, Jennifer C. Dela Cruz
(2022) Vol. 11, pp. 243-247
Closed Access | Times Cited: 3
A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs’ Effect over COVID-19 Pandemic
Yong‐Ju Jang, Min-Seung Kim, Chan-Ho Lee, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 11, pp. 6763-6763
Open Access | Times Cited: 3
EpiForecaster: a novel deep learning ensemble optimization approach to combining forecasts for emerging epidemic outbreaks
Milton Soto-Ferrari, Alejandro Carrasco‐Pena, Diana Prieto
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
Machine Learning Models for Predicting COVID-19: An Ensemble Approach Applied to the State of Alagoas
José Lucas Bispo dos Santos, Elpídio Inácio Fernandes Filho, Mafalda Oliveira, et al.
(2024), pp. 412-423
Closed Access
A Survey on the role of ML and AI in fighting Covid-19
Deepti Malhotra, Gurinder Kaur Sodhi
(2023), pp. 27-32
Closed Access | Times Cited: 1
Population Estimation Using Wi-Fi’s Received Signal Strength Indicator Based on Artificial Neural Network
Brian Aaron R. Bermudez, Carloui R. Cruz, Jushua D. Ramos, et al.
(2022)
Closed Access | Times Cited: 2
A Circuit Design of a Sensor Amplifier for Improving Blood Pressure Measurement in Telehealth System
Maurine C. Panergo, Febus Reidj G. Cruz, Renato R. Maaliw
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (2021), pp. 0783-0788
Closed Access | Times Cited: 1
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