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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:

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 26-50 of 50 citing articles:

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
Research Square (Research Square) (2021)
Closed Access | Times Cited: 6
Activity location recognition from mobile phone data using improved HAC and Bi‐LSTM
Haihang Jiang, Fei Yang, Weijie Su, et al.
IET Intelligent Transport Systems (2022) Vol. 16, Iss. 10, pp. 1364-1379
Open Access | Times Cited: 4
Probabilistic forecasting of daily COVID-19 admissions using machine learning
Bahman Rostami-Tabar, Siddharth Arora, Juan F. Rendon‐Sanchez, et al.
IMA Journal of Management Mathematics (2023) Vol. 35, Iss. 1, pp. 21-43
Open Access | Times Cited: 2
Improved F-DBSCAN for Trip End Identification Using Mobile Phone Data in Combination with Base Station Density
Haihang Jiang, Fei Yang, Xin Zhu, et al.
Journal of Advanced Transportation (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 3
Is it possible to estimate the number of patients with COVID-19 admitted to intensive care units and general wards using clinical and telemedicine data?
Caio Querino Gabaldi, Adriana Serra Cypriano, Carlos Henrique Sartorato Pedrotti, et al.
Einstein (São Paulo) (2024) Vol. 22
Open Access
Smart traffic forecasting: leveraging adaptive machine learning and big data analytics for traffic flow prediction
Idriss Moumen, Jâafar Abouchabaka, Najat Rafalia
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 2323-2323
Open Access
Early Detection of COVID-19 Outbreaks Using Human Mobility Data
Grace Guan, Yotam Dery, Matan Yechezkel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 4
Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning
Giovanni S. P. Malloy, Lisa B. Puglisi, Kristofer Bret Bucklen, et al.
MDM Policy & Practice (2024) Vol. 9, Iss. 1
Open Access
Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns
Fernando Ferreira Lima dos Santos, Farzaneh Khorsandi
Forecasting (2024) Vol. 6, Iss. 2, pp. 266-278
Open Access
Predictive Modelling of Airline Baggage Complaints Using Facebook Prophet: A Time Series Analysis
Mitra Tithi Dey
Communications in computer and information science (2024), pp. 50-61
Closed Access
Forecasting of COVID-19 Fatality in the USA: Comparison of Artificial Neural Network-Based Models
Veysel Fuat Hatipoğlu
Bulletin of the Malaysian Mathematical Sciences Society (2023) Vol. 46, Iss. 4
Closed Access | Times Cited: 1
The role of social media in the battle against COVID-19
Carmela Comito
Elsevier eBooks (2023), pp. 105-124
Closed Access | Times Cited: 1
Forecasting Weekly COVID-19 Infection and Death Cases in Iraq Using an ARIMA Model
Mohammed Hussein Jabardi, Hasan Thabit Kurmasha, Roaa Razaq Al-Khalidy
Technium Romanian Journal of Applied Sciences and Technology (2022) Vol. 4, Iss. 2, pp. 64-75
Open Access | Times Cited: 2
Forecasting Daily COVID-19 Case Counts Using Aggregate Mobility Statistics
Bulut Boru, Mehmet Emre Gürsoy
Data (2022) Vol. 7, Iss. 11, pp. 166-166
Open Access | Times Cited: 2
Modeling Covid-19 Infection Cases and Vaccine in 5 Countries Highly Vaccinations
Mostafa Abotaleb, Tatiana Makarovskikh, Harun Yonar, et al.
Turkish Journal of Mathematics and Computer Science (2021) Vol. 13, Iss. 2, pp. 403-417
Open Access | Times Cited: 2
Revealing Behavior Patterns of SARS-CoV-2 using Clustering Analysis and XGBoost Error Forecasting Models
Nasrin Talkhi, Narges Akhavan Fatemi, Mehdi Jabbari Nooghabi
Iranian Journal of Medical Microbiology (2022) Vol. 16, Iss. 3, pp. 221-232
Open Access | Times Cited: 1
Forecasting of the COVID-19 Epidemic: A Scientometric Analysis
Ferdias Pandri, Ansari Saleh Ahmar
(2021)
Closed Access | Times Cited: 1
A data-driven framework to assess population dynamics during novel coronavirus outbreaks: A case study on Xiamen Island, China
Peng Wang, Jinliang Huang
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293803-e0293803
Open Access
Development of Algorithm for Forecasting System Software
Mostafa Abotaleb, Tatiana Makarovskikh
Contributions to statistics (2023), pp. 213-225
Closed Access
Safety Stock Estimation Based on Forecasted Demand Distribution Using Recurrent Mixture Density Networks
Mahya Seyedan, Fereshteh Mafakheri, Chun Wang
(2023)
Closed Access
Live Births Forecasting Across Health Regions of Goiás Using Artificial Neural Networks: A Clustering Approach
Arthur Ricardo Sousa Vitória, Adriel Lenner Vinhal Mori, Diogo Fernandes Costa Silva, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2023), pp. 321-329
Closed Access
Simple prediction accuracy for covid-19 daily incident data in Malaysia using machine learning- Auto Regressive Integrated Moving Average (ARIMA), and Linear Regression (LR) Model
Mohamad Arif Awang Nawi, Muhamamd Amirul Mat Lazin
Medical Science (2022) Vol. 26, Iss. 125, pp. 1-8
Open Access
Forecasting non-linear macroeconomic indexes of India: an ensemble of MLP and Holt’s linear methods
Dipankar Das, Satyajit Chakrabarti
International Journal of Advanced Technology and Engineering Exploration (2022) Vol. 9, Iss. 93
Open Access
Predicting COVID-19 Spread from Large-Scale Mobility Data
Amray Schwabe, Joel Persson, Stefan Feuerriegel
(2021)
Closed Access
Predicting COVID-19 with AI techniques
Carmela Comito, Clara Pizzuti
(2021), pp. 518-524
Closed Access
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