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.

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Showing 1-25 of 31 citing articles:

Sex-disaggregated outcomes of adverse events after COVID-19 vaccination: A Dutch cohort study and review of the literature
Janneke W. Duijster, Thomas Lieber, Silvia Pacelli, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 28

A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh
Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, et al.
Information (2023) Vol. 14, Iss. 7, pp. 376-376
Open Access | Times Cited: 26

Lymphadenopathy post‐COVID‐19 vaccination with increased FDG uptake may be falsely attributed to oncological disorders: A systematic review
Khalifa Bshesh, Wafa Khan, Ahamed Lazim Vattoth, et al.
Journal of Medical Virology (2022) Vol. 94, Iss. 5, pp. 1833-1845
Open Access | Times Cited: 32

Dynamic learning for imbalanced data in learning chest X-ray and CT images
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16807-e16807
Open Access | Times Cited: 19

An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder
Md. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, et al.
Computers (2023) Vol. 12, Iss. 5, pp. 92-92
Open Access | Times Cited: 15

Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19
Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1383-1383
Open Access | Times Cited: 30

Exploring post-COVID-19 health effects and features with advanced machine learning techniques
Muhammad Nazrul Islam, Md Shofiqul Islam, Nahid Hasan Shourav, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Covid-19 vaccination reported side effects and hesitancy among the Syrian population: a cross-sectional study
Michel Najjar, Sara Albuaini, Mohammad Fadel, et al.
Annals of Medicine (2023) Vol. 55, Iss. 2
Open Access | Times Cited: 8

Machine Learning Model for Adverse Drug Reaction Detection Based on Naive Bayes and XGBoost Algorithm
Esther Blessing, Elizabeth Y. Anthony, U. Uduakobong, et al.
British Journal of Computer Networking and Information Technology (2024) Vol. 7, Iss. 2, pp. 97-114
Open Access | Times Cited: 2

Computational design and evaluation of mRNA- and protein-based conjugate vaccines for influenza A and SARS-CoV-2 viruses
Amir Elalouf, Tomer Kedarya, Hadas Elalouf, et al.
Journal of Genetic Engineering and Biotechnology (2023) Vol. 21, Iss. 1, pp. 120-120
Open Access | Times Cited: 6

COVID-19 analytics: Towards the effect of vaccine brands through analyzing public sentiment of tweets
Khandaker Tayef Shahriar, Muhammad Nazrul Islam, Md Musfique Anwar, et al.
Informatics in Medicine Unlocked (2022) Vol. 31, pp. 100969-100969
Open Access | Times Cited: 10

Experience and side effects of COVID-19 vaccine uptake among university students: a cross-sectional survey study
Md. Akhtarul Islam, Mst. Tanmin Nahar, Abdur Rahman, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1

Vaccine hesitancy in the post-vaccination COVID-19 era: a machine learning and statistical analysis driven study
Himanshu Gupta, Om Prakash Verma
Evolutionary Intelligence (2022) Vol. 16, Iss. 3, pp. 739-757
Open Access | Times Cited: 6

Quantitative ultrasound image analysis of axillary lymph nodes to differentiate malignancy from reactive benign changes due to COVID-19 vaccination
David Coronado-Gutiérrez, Sergi Ganau, Xavier Bargalló, et al.
European Journal of Radiology (2022) Vol. 154, pp. 110438-110438
Open Access | Times Cited: 5

Overview of the cardio-metabolic impact of the COVID-19 pandemic
Maryam Barkhordarian, Arezoo Behbood, Maryam Ranjbar, et al.
Endocrine (2023) Vol. 80, Iss. 3, pp. 477-490
Open Access | Times Cited: 2

Machine Learning and Healthcare: A Comprehensive Study
R.J.T. Nirmal Raj, Jayakumar Kaliappan
Lecture notes in networks and systems (2024), pp. 31-46
Closed Access

Neurological Complications after COVID-19 Vaccination
K. Khalimova, Nilufar Rashidova, Javlon Salimjonov
Neuroscience and Behavioral Physiology (2024) Vol. 54, Iss. 4, pp. 540-546
Closed Access

COVID-19 vaccinations and their side effects: a scoping systematic review
Hind Monadhel, Ayad R. Abbas, Athraa Mohammed
F1000Research (2024) Vol. 12, pp. 604-604
Open Access

COVID-19 Vaccination Prediction in India Using Deep Learning
Neha Ramesh Umrani, G R Shilpashree, Shaashwata Audichya, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 4

The Benefit of Cupping (Hijamah) to Post-Vaccination Mental & Physical Health
Syaidatun Nazirah Abu Zahrin, Mohamad Mohsin Mohamad Said, Amirah Izzati Mohd Iskandar Sandakumaran, et al.
Journal of KATHA (2021) Vol. 17, Iss. 1, pp. 20-31
Open Access | Times Cited: 4

Side effects of COVID-19 vaccines in the middle eastern population
Ghida M. Murished, Iman Dandachi, Waleed Aljabr
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 1

Modeling COVID-19 Vaccine Adverse Effects with a Visualized Knowledge Graph Database
Zhiyuan Liu, Ximing Gao, Chenyu Li
Healthcare (2022) Vol. 10, Iss. 8, pp. 1419-1419
Open Access | Times Cited: 2

Heart Rate Variability in Subjects with Severe Allergic Background Undergoing COVID-19 Vaccination
Maria Bernadette Cilona, Filippo D’Amico, Chiara Asperti, et al.
Vaccines (2023) Vol. 11, Iss. 3, pp. 567-567
Open Access

Detecting the most critical clinical variables of COVID-19 breakthrough infection in vaccinated persons using machine learning
Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, et al.
Digital Health (2023) Vol. 9
Open Access

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