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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:

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

Showing 1-25 of 46 citing articles:

A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Mehrdad Rostami, Mourad Oussalah
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100941-100941
Open Access | Times Cited: 55
Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling
Xinhe Zhu, Bingbing Gao, Yongmin Zhong, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104810-104810
Open Access | Times Cited: 46
A novel epidemiologically informed particle filter for assessing epidemic phenomena. Application to the monkeypox outbreak of 2022
Vasileios E. Papageorgiou, Pavlos Kolias
Inverse Problems (2024) Vol. 40, Iss. 3, pp. 035006-035006
Open Access | Times Cited: 7
A stochastic particle extended SEIRS model with repeated vaccination: Application to real data of COVID‐19 in Italy
Vasileios E. Papageorgiou, George Tsaklidis
Mathematical Methods in the Applied Sciences (2024) Vol. 47, Iss. 7, pp. 6504-6538
Open Access | Times Cited: 6
An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data
Vasileios E. Papageorgiou, George Tsaklidis
Chaos Solitons & Fractals (2022) Vol. 166, pp. 112914-112914
Open Access | Times Cited: 23
The Role of NPIs in the COVID-19 Health-Economic Trade-Off: The Italian Case
F. Giuli, Gabriele Maugeri
SSRN Electronic Journal (2025)
Closed Access
Dynamic-spread assessment and kink detection in the early mpox outbreak
Junyang Cai, Chenwei Song, Jian Zhou, et al.
Applied Mathematical Modelling (2025), pp. 115996-115996
Closed Access
Kalman Filter-Based Epidemiological Model for Post-COVID-19 Era Surveillance and Prediction
Yunfeng Shi, Xiaokui Zhu, Xinhe Zhu, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2507-2507
Open Access
Analyzing the Asymptotic Behavior of an Extended SEIR Model with Vaccination for COVID-19
Vasileios E. Papageorgiou, Georgios Vasiliadis, George Tsaklidis
Mathematics (2023) Vol. 12, Iss. 1, pp. 55-55
Open Access | Times Cited: 10
Real-Time Epidemiology and Acute Care Need Monitoring and Forecasting for COVID-19 via Bayesian Sequential Monte Carlo-Leveraged Transmission Models
Xiaoyan Li, Vyom Patel, Lujie Duan, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 21, Iss. 2, pp. 193-193
Open Access | Times Cited: 3
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
Kalman-based compartmental estimation for covid-19 pandemic using advanced epidemic model
Sumanta Kumar Nanda, Guddu Kumar, Vimal Bhatia, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104727-104727
Open Access | Times Cited: 7
DeepCov: Effective Prediction Model of COVID-19 Using CNN Algorithm
Mohammad Diqi, Sri Mulyani, Rike Pradila
SN Computer Science (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 5
A Stochastic Epidemiological SIRD-V Model With LSM-EKF Algorithm for Forecasting and Monitoring the Spread of COVID-19 Pandemic: Real Data
Abdennour Sebbagh, Chemesse Ennehar Bencheriet, Sihem Kechida
IEEE Access (2024) Vol. 12, pp. 62047-62058
Open Access | Times Cited: 1
Research on collaborative reconstruction method of missing data and abnormal data in Air Handling Units (AHU)system
Peng Wang, Da Chen, Xin Meng, et al.
Journal of Building Engineering (2024), pp. 111414-111414
Closed Access | Times Cited: 1
Bayesian Noise Modelling for State Estimation of the Spread of COVID-19 in Saudi Arabia with Extended Kalman Filters
Lamia Alyami, Deepak Kumar Panda, Saptarshi Das
Sensors (2023) Vol. 23, Iss. 10, pp. 4734-4734
Open Access | Times Cited: 3
An Evaluation of Prospective COVID-19 Modeling: From Data to Science Translation
Kristen Nixon, Sonia Jindal, Felix Parker, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
TBR-NER: Research on COVID-19 Text Information Extraction Based on Joint Learning of Topic Recognition and Named Entity Recognition
Xin Feng, Yingrui Li, Zhang Hang, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 5
State Estimation of the Spread of COVID-19 in Saudi Arabia using Extended Kalman Filter
Lamia Alyami, Saptarshi Das
(2022), pp. 1-5
Closed Access | Times Cited: 5
Noise prediction of chemical industry park based on multi-station Prophet and multivariate LSTM fitting model
Qingtian Zeng, Yu Liang, Geng Chen, et al.
EURASIP Journal on Advances in Signal Processing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 6
Modelling Singapore’s Covid-19 Pandemic Using SEIRQV and Hybrid Epidemiological Models
Chuping Mu, Jovern Teo, Joshua Cheong
(2023), pp. 559-575
Closed Access | Times Cited: 2
A new hybrid prediction model of COVID-19 daily new case data
Guohui Li, Jin Lu, Kang Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106692-106692
Open Access | Times Cited: 2
How many asymptomatic cases were unconfirmed in the US COVID-19 pandemic? The evidence from a serological survey
Junyang Cai, Jian Zhou
Chaos Solitons & Fractals (2022) Vol. 164, pp. 112630-112630
Open Access | Times Cited: 3
Data-driven modeling of fatigue effects following repeated muscular contractions
Roya Doshmanziari, Roxanne R. Jackson, Damiano Varagnolo, et al.
2022 IEEE 61st Conference on Decision and Control (CDC) (2022), pp. 6052-6057
Closed Access | Times Cited: 3
Recursive state and parameter estimation of COVID-19 circulating variants dynamics
Daniel Martins Silva, Argimiro R. Secchi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 3
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