Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Forecasting COVID-19 daily cases using phone call data
Bahman Rostami-Tabar, Juan F. Rendon‐Sanchez
Applied Soft Computing (2020) Vol. 100, pp. 106932-106932
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
Carmela Comito, Clara Pizzuti
Artificial Intelligence in Medicine (2022) Vol. 128, pp. 102286-102286
Open Access | Times Cited: 88
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 95
Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
Soudeh Ghafouri‐Fard, Hossein Mohammad‐Rahimi, Parisa Motie, et al.
Heliyon (2021) Vol. 7, Iss. 10, pp. e08143-e08143
Open Access | Times Cited: 59
Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets
Aslı Çalış Boyaci, Aziz Şişman
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 2, pp. 1985-1997
Open Access | Times Cited: 52
Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach
Abdelgader Alamrouni, Fidan Aslanova, Sagiru Mati, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 2, pp. 738-738
Open Access | Times Cited: 32
Cluster-based demand forecasting using Bayesian model averaging: An ensemble learning approach
Mahya Seyedan, Fereshteh Mafakheri, Chun Wang
Decision Analytics Journal (2022) Vol. 3, pp. 100033-100033
Open Access | Times Cited: 30
Forecasting COVID-19 Case Trends Using SARIMA Models during the Third Wave of COVID-19 in Malaysia
Cia Vei Tan, Sarbhan Singh, Chee Herng Lai, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 3, pp. 1504-1504
Open Access | Times Cited: 29
Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections
Meenu Gupta, Rachna Jain, Soham Taneja, et al.
Applied Soft Computing (2020) Vol. 101, pp. 107039-107039
Open Access | Times Cited: 42
Payroll Information System Design Using Waterfall Method
Matheus Supriyanto Rumetna, Tirsa Ninia Lina, Iriene Surya Rajagukguk, et al.
International Journal of Advances in Data and Information Systems (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 19
The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China
Tianyu Feng, Zheng Zhou, Jiaying Xu, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 19
A comprehensive and integrated hospital decision support system for efficient and effective healthcare services delivery using discrete event simulation
Muhammed Ordu, Eren Demir, Chris Tofallis, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100248-100248
Open Access | Times Cited: 12
Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data
Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, et al.
Neurocomputing (2021) Vol. 457, pp. 40-66
Open Access | Times Cited: 21
Early detection of COVID-19 outbreaks using human mobility data
Grace Guan, Yotam Dery, Matan Yechezkel, et al.
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0253865-e0253865
Open Access | Times Cited: 21
A Knowledge Management System Conceptual Model for the Sorong COVID-19 Task Force
Matheus Supriyanto Rumetna, Tirsa Ninia Lina, Joseph Eliza Lopulalan
JOIV International Journal on Informatics Visualization (2020) Vol. 4, Iss. 4, pp. 195-200
Closed Access | Times Cited: 23
Understanding the leading indicators of hospital admissions from COVID-19 across successive waves in the UK
Jonathon Mellor, Christopher E. Overton, Martyn Fyles, et al.
Epidemiology and Infection (2023) Vol. 151
Open Access | Times Cited: 7
Using meta-learning to recommend an appropriate time-series forecasting model
Nasrin Talkhi, Narges Akhavan Fatemi, Mehdi Jabbari Nooghabi, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
An Adaptive Research Approach to COVID-19 Forecasting for Regional Health Systems in England
Lidia Betcheva, Feryal Erhun, Antoine Feylessoufi, et al.
INFORMS Journal on Applied Analytics (2024) Vol. 54, Iss. 6, pp. 500-516
Open Access | Times Cited: 2
Early diagnosis of COVID-19 patients using deep learning-based deep forest model
Dilbag Singh, Vijay Kumar, Manjit Kaur, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2022) Vol. 35, Iss. 3, pp. 365-375
Closed Access | Times Cited: 12
Highly accurate oil production forecasting under adjustable policy by a physical approximation network
Haochen Wang, Kai Zhang, Xingliang Deng, et al.
Energy Reports (2022) Vol. 8, pp. 14396-14415
Open Access | Times Cited: 11
Initial prehospital Rapid Emergency Medicine Score (REMS) to predict outcomes for COVID‐19 patients
Scott Bourn, Remle P. Crowe, Antonio R. Fernandez, et al.
Journal of the American College of Emergency Physicians Open (2021) Vol. 2, Iss. 4
Open Access | Times Cited: 12
Forecasting mail flow: A hierarchical approach for enhanced societal wellbeing
Nadine Kafa, M. Zied Babai, Walid Klibi
International Journal of Forecasting (2024) Vol. 41, Iss. 1, pp. 51-65
Closed Access | Times Cited: 1
Investigation of robustness of hybrid artificial neural network with artificial bee colony and firefly algorithm in predicting COVID-19 new cases: case study of Iran
Mohammad Javad Shaibani, Sara Emamgholipour, Samira Sadate Moazeni
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 9, pp. 2461-2476
Open Access | Times Cited: 10
An analysis to identify the structural breaks of Covid-19 in Turkey
Yeşim Güney, Yetkin Tuaç, Şenay Özdemir, et al.
Journal of Statistics and Management Systems (2022) Vol. 25, Iss. 8, pp. 1971-1989
Open Access | Times Cited: 5
Rapid COVID-19 Modeling Support for Regional Health Systems in England
Lidia Betcheva, Feryal Erhun, Antoine Feylessoufi, et al.
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 7
COVID-19 Symptoms app analysis to foresee healthcare impacts: Evidence from Northern Ireland
José Sousa, João Barata, Hugo van Woerden, et al.
Applied Soft Computing (2021) Vol. 116, pp. 108324-108324
Open Access | Times Cited: 6
Page 1 - Next Page

Scroll to top