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:

Using Ecological Momentary Assessment to Study the Development of COVID-19 Worries in Sweden: Longitudinal Study
Peter J. Schulz, Elin M. Andersson, Nicole Bizzotto, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 11, pp. e26743-e26743
Open Access | Times Cited: 9

Showing 9 citing articles:

Digital Economy and Multidimensional Capital in Rural Development: A Study of China's Provinces (2012–2021)
Hao Wu, Jiajun Xu
International Journal of Low-Carbon Technologies (2025) Vol. 20, pp. 555-567
Open Access

An app-based ecological momentary assessment of undergraduate student mental Health during the COVID-19 pandemic in Canada (Smart Healthy Campus Version 2.0): Longitudinal study
Chris Brogly, Daniel J. Lizotte, Marc Mitchell, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 5, pp. e0000239-e0000239
Open Access | Times Cited: 1

Understanding the relationship between time spent outdoors, mental well-being and health-related behaviours in a Spanish sample: A real time smartphone-based study
Ana Catalán, Stefania Tognin, Ryan Hammoud, et al.
Psychiatry Research (2023) Vol. 329, pp. 115494-115494
Open Access | Times Cited: 3

Reactions for actions? Trust in protective behaviors and safeguarding measures in the early phase of the Covid-19 pandemic in Sweden
Elin M. Andersson, Margareta Norberg
Preventive Medicine Reports (2023) Vol. 32, pp. 102133-102133
Open Access | Times Cited: 2

Building and Testing Fine-Grained Dataset of COVID-19 Tweets for Worry Prediction
Tahani Soud Alharbi, Fethi Fkih
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access | Times Cited: 3

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