OpenAlex Citation Counts

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:

Associations between Google Search Trends for Symptoms and COVID-19 Confirmed and Death Cases in the United States
Mostafa Abbas, Thomas Morland, Eric S. Hall, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 9, pp. 4560-4560
Open Access | Times Cited: 15

Showing 15 citing articles:

Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review
Emily Clark, S Neumann, Stephanie Hopkins, et al.
JMIR Public Health and Surveillance (2023) Vol. 10, pp. e49185-e49185
Open Access | Times Cited: 15

Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review
Tobias Saegner, Donatas Austys
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 19, pp. 12394-12394
Open Access | Times Cited: 20

Non-linear correlation analysis between internet searches and epidemic trends
Yu He, Lingshi Ran, Yang Wang, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access

Progress in understanding human-COVID-19 dynamics using geospatial big data: a systematic review
Binbin Lin, Lei Zou, Mingzheng Yang, et al.
Annals of GIS (2024) Vol. 30, Iss. 4, pp. 513-533
Open Access | Times Cited: 3

A Google Trends analysis revealed global public interest and awareness of nasal polyps
Jin Peng, Qiuliang Zhao, Yiran Zang, et al.
European Archives of Oto-Rhino-Laryngology (2023) Vol. 280, Iss. 6, pp. 2831-2839
Open Access | Times Cited: 5

Association between public attention and monkeypox epidemic: A global lag‐correlation analysis
Wenxin Yan, Min Du, Chenyuan Qin, et al.
Journal of Medical Virology (2022) Vol. 95, Iss. 1
Open Access | Times Cited: 8

Decoding Distress: How Search Engine Data Reveals Socioeconomic Disparities in Mental Health
Hengyi Fu
(2024), pp. 328-333
Closed Access | Times Cited: 1

Inferring skin–brain–skin connections from infodemiology data using dynamic Bayesian networks
Marco Scutari, Delphine Kérob, Samir Salah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Trends in Online Search Activity and the Correlation with Daily New Cases of Monkeypox among 102 Countries or Territories
Min Du, Chenyuan Qin, Wenxin Yan, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 4, pp. 3395-3395
Open Access | Times Cited: 3

Inferring Skin-Brain-Skin Connections from Infodemiology Data using Dynamic Bayesian Networks
Marco Scutari, Delphine Kérob, Samir Salah
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

Digital Footprints of Distress: An Analysis of Mental Health Search Patterns Across Socioeconomic Spectrums in Alabama Counties
Hengyi Fu
Lecture notes in computer science (2024), pp. 125-134
Closed Access

Google Trends Analysis of Otologic Symptom Searches Following COVID-19.
Joshua K. Kim, Karen Tawk, Jonathan M Kim, et al.
PubMed (2024) Vol. 36, Iss. 3, pp. 475-482
Closed Access

Local Clustering for Functional Data
Yuanxing Chen, Qingzhao Zhang, Shuangge Ma
Journal of Computational and Graphical Statistics (2024), pp. 1-37
Closed Access

An Analysis of the Deleterious Impact of the Infodemic during the COVID-19 Pandemic in Brazil: A Case Study Considering Possible Correlations with Socioeconomic Aspects of Brazilian Demography
Maria da Penha de Andrade Abi Harb, Lena Veiga e Silva, Nandamudi Lankalapalli Vijaykumar, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 6, pp. 3208-3208
Open Access | Times Cited: 2

Improved Prediction of COVID-19 Transmission and Mortality Using Google Search Trends for Symptoms in the United States
Meshrif Alruily, Mohamed Ezz, Ayman Mohamed Mostafa, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access

Page 1

Cookie	Duration	Description
cookielawinfo-checkbox-advertisement	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category .
cookielawinfo-checkbox-analytics	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Analytics" category .
cookielawinfo-checkbox-functional	1 year	The cookie is set by the GDPR Cookie Consent plugin to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Necessary" category .
cookielawinfo-checkbox-others	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Others".
cookielawinfo-checkbox-performance	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Performance".
CookieLawInfoConsent	1 year	Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie.
PHPSESSID	session	This cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.

Requested Article:

Showing 15 citing articles:

Your Privacy