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:

Short-term forecasts of the COVID-19 pandemic: a study case of Cameroon
Cedric Hameni Nkwayep, Samuel Bowong, Jean Jules Tewa, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110106-110106
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A critical review of emerging technologies for tackling COVID ‐19 pandemic
Elliot Mbunge, Boluwaji Akinnuwesi, Stephen Gbenga Fashoto, et al.
Human Behavior and Emerging Technologies (2020) Vol. 3, Iss. 1, pp. 25-39
Open Access | Times Cited: 169

Fear of COVID-19 and its association with mental health-related factors: systematic review and meta-analysis
Zainab Alimoradi, Maurice M. Ohayon, Mark D. Griffiths, et al.
BJPsych Open (2022) Vol. 8, Iss. 2
Open Access | Times Cited: 153

An Extended SEIR Model with Vaccination for Forecasting the COVID-19 Pandemic in Saudi Arabia Using an Ensemble Kalman Filter
Rabih Ghostine, Mohamad El Gharamti, Sally Hassrouny, et al.
Mathematics (2021) Vol. 9, Iss. 6, pp. 636-636
Open Access | Times Cited: 148

Comparative study of machine learning methods for COVID-19 transmission forecasting
Abdelkader Dairi, Fouzi Harrou, Abdelhafid Zeroual, et al.
Journal of Biomedical Informatics (2021) Vol. 118, pp. 103791-103791
Open Access | Times Cited: 142

Analysis of COVID‐19 and comorbidity co‐infection model with optimal control
Andrew Omame, Ndolane Sene, I. Nometa, et al.
Optimal Control Applications and Methods (2021) Vol. 42, Iss. 6, pp. 1568-1590
Open Access | Times Cited: 63

Maximum likelihood-based extended Kalman filter for COVID-19 prediction
Jialu Song, Hujin Xie, Bingbing Gao, et al.
Chaos Solitons & Fractals (2021) Vol. 146, pp. 110922-110922
Open Access | Times Cited: 46

Mathematical modeling and optimal control of SARS-CoV-2 and tuberculosis co-infection: a case study of Indonesia
H. Rwezaura, Mamadou Lamine Diagne, Andrew Omame, et al.
Modeling Earth Systems and Environment (2022) Vol. 8, Iss. 4, pp. 5493-5520
Open Access | Times Cited: 35

An optimal control model for COVID‐19, zika, dengue, and chikungunya co‐dynamics with reinfection
Andrew Omame, Mary Ele Isah, Mujahid Abbas
Optimal Control Applications and Methods (2022) Vol. 44, Iss. 1, pp. 170-204
Open Access | Times Cited: 35

Psychometric evaluation of fear of COVID-19 Scale (FCV-19S) among Chinese primary and middle schoolteachers, and their students
I‐Hua Chen, Chao‐Ying Chen, Keyun Zhao, et al.
Current Psychology (2022) Vol. 42, Iss. 15, pp. 12557-12573
Open Access | Times Cited: 34

A survey of COVID-19 in public transportation: Transmission risk, mitigation and prevention
Xiaoli Liu, Pranvera Kortoçi, Naser Hossein Motlagh, et al.
Multimodal Transportation (2022) Vol. 1, Iss. 3, pp. 100030-100030
Open Access | Times Cited: 29

Analysis of COVID-19 Coughs: From the Mildest to the Most Severe Form, a Realistic Classification Using Deep Learning
Fabien Mouomene Moffo, Auguste Vigny Noumsi Woguia, Joseph Mvogo Ngono, et al.
Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées (2025) Vol. Volume 42 - Special issue CRI...
Open Access

Mathematical modelling and analysis of COVID-19 epidemic and predicting its future situation in Ethiopia
Abadi Abay Gebremeskel, Hailay Weldegiorgis Berhe, Habtu Alemayehu Atsbaha
Results in Physics (2021) Vol. 22, pp. 103853-103853
Open Access | Times Cited: 23

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

Mathematical modeling of COVID-19 pandemic in the context of sub-Saharan Africa: a short-term forecasting in Cameroon and Gabon
Cedric Hameni Nkwayep, Samuel Bowong, Berge Tsanou, et al.
Mathematical Medicine and Biology A Journal of the IMA (2022) Vol. 39, Iss. 1, pp. 1-48
Open Access | Times Cited: 14

COVID-19 Preventive Behaviours in Cameroon: A Six-Month Online National Survey
Joseph Nelson Siewe Fodjo, Leonard Ngarka, Wepnyu Yembe Njamnshi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 5, pp. 2554-2554
Open Access | Times Cited: 19

Perceptions around COVID-19 among patients and community members in urban areas in Cameroon: A qualitative perspective
Sylvie Kwedi Nolna, Douglas Mbang Massom, Louis Aristide Tchoteke, et al.
PLOS Global Public Health (2024) Vol. 4, Iss. 2, pp. e0001760-e0001760
Open Access | Times Cited: 2

A mathematical model to study herbal and modern treatments against COVID-19
Arsène Jaurès Ouemba Tassé, Berge Tsanou, Cletus Kwa Kum, et al.
Journal of Nonlinear Complex and Data Science (2024) Vol. 25, Iss. 1, pp. 79-108
Open Access | Times Cited: 2

Prediction and control of cholera outbreak: Study case of Cameroon
Cedric Hameni Nkwayep, Romain Glèlè Kakaï, Samuel Bowong
Infectious Disease Modelling (2024) Vol. 9, Iss. 3, pp. 892-925
Open Access | Times Cited: 2

Observed versus estimated actual trend of COVID-19 case numbers in Cameroon: A data-driven modelling
Arsène Brunelle Sandie, Mathurin Cyrille Tejiokem, Cheikh Fayé, et al.
Infectious Disease Modelling (2023) Vol. 8, Iss. 1, pp. 228-239
Open Access | Times Cited: 6

Modifying the network-based stochastic SEIR model to account for quarantine: an application to COVID-19
Chris Groendyke, Adam Combs
Epidemiologic Methods (2021) Vol. 10, Iss. s1
Closed Access | Times Cited: 13

A Novel Metaheuristic Framework Based on the Generalized Boltzmann Distribution for COVID-19 Spread Characterization
Juan de Anda-Suárez, Valentín Calzada-Ledesma, David Asael Gutiérrez Hernández, et al.
IEEE Access (2022) Vol. 10, pp. 7326-7340
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

Mathematical Modeling of the Propagation of Covid-19 Pandemic Waves in the World
Е. С. Куркина, E.M. Koltsova
Computational Mathematics and Modeling (2021) Vol. 32, Iss. 2, pp. 147-170
Open Access | Times Cited: 9

Mathematical Modeling of Immune Responses against SARS-CoV-2 Using an Ensemble Kalman Filter
Rabih Ghostine, Mohamad El Gharamti, Sally Hassrouny, et al.
Mathematics (2021) Vol. 9, Iss. 19, pp. 2427-2427
Open Access | Times Cited: 9

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