Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Sentiment and emotion trends in nurses' tweets about the COVID‐19 pandemic
Teenu Xavier, Joshua Lambert
Journal of Nursing Scholarship (2022) Vol. 54, Iss. 5, pp. 613-622
Open Access | Times Cited: 18

Showing 18 citing articles:

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review
Jiaqi Fu, Chaixiu Li, Chunlan Zhou, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e43349-e43349
Open Access | Times Cited: 16
In Pursuit of the Practice Ready Nurse
Cynthia Sherraden Bradley, James Thomas, Winnie Yip, et al.
JONA The Journal of Nursing Administration (2025)
Closed Access
Investigating Influential COVID-19 Perspectives: A Multifaceted Analysis of Twitter Discourse
Shahid Bashir, Hossein Shirazi, Noushin Salek Faramarzi, et al.
Lecture notes in computer science (2025), pp. 3-22
Closed Access
The emotional side of taking part in a cancer clinical trial
Mariam Chichua, Chiara Filipponi, Davide Mazzoni, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284268-e0284268
Open Access | Times Cited: 8
An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets
Guangyu Mu, Jiaxue Li, Xiurong Li, et al.
Biomimetics (2024) Vol. 9, Iss. 9, pp. 533-533
Open Access | Times Cited: 2
Quantitative and qualitative analysis of individual experiences post botulinum toxin injection ‐ United Kingdom Survey
David Zargaran, Alexander Zargaran, Sara Sousi, et al.
Skin Health and Disease (2023) Vol. 3, Iss. 5
Open Access | Times Cited: 4
Examination of Nursing Staffs’ Perceptions of the COVID-19 Vaccine Using the Health Belief Model
Aidan Cossio, Wilson Cobb, Addison Fugitt, et al.
Western Journal of Nursing Research (2024) Vol. 46, Iss. 3, pp. 229-235
Open Access | Times Cited: 1
The Utilization of Natural Language Processing for Analyzing Social Media Data in Nursing Research: A Scoping Review
Z Wang, Yulin Ma, Yuanyuan Song, et al.
Journal of Nursing Management (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Resident Feedback Field Notes: Retrospective Cohort Study
Kevin Lu, Christopher Meaney, Elaine Guo, et al.
JMIR Medical Education (2023) Vol. 9, pp. e41953-e41953
Open Access | Times Cited: 4
Public’s perception on nursing education during the COVID-19 pandemic: SENTIMENT analysis of Twitter data
Ayşe Çiçek Korkmaz
International Journal of Disaster Risk Reduction (2023) Vol. 99, pp. 104127-104127
Closed Access | Times Cited: 3
Changes in Public Sentiment under the Background of Major Emergencies—Taking the Shanghai Epidemic as an Example
Bowen Zhang, Jinping Lin, Man Luo, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 19, pp. 12594-12594
Open Access | Times Cited: 5
A Correlational Study Of Midwives’ Self‐Compassion, Psychosocial Health, and Well‐Being During the First Wave of COVID‐19: What Have We Learned?
Michal Liebergall‐Wischnitzer, Anita Noble, Iris Raz, et al.
Journal of Midwifery & Women s Health (2023) Vol. 68, Iss. 5, pp. 645-651
Closed Access | Times Cited: 2
Response to the critique of “Public's perception on nursing education during the COVID-19 pandemic: Sentiment analysis of Twitter data”
Ayşe Çiçek Korkmaz
International Journal of Disaster Risk Reduction (2024) Vol. 101, pp. 104233-104233
Closed Access
Sentiment Analysis of Patient- and Family-Related Sepsis Events: Exploratory Study
Mabel Ntiamoah, Teenu Xavier, Joshua Lambert
JMIR Nursing (2024) Vol. 7, pp. e51720-e51720
Open Access
Understanding global research trends in the control and prevention of infectious diseases for children: Insights from text mining and topic modeling
Won‐Oak Oh, Eunji Lee, Yoo Jin Heo, et al.
Journal of Nursing Scholarship (2024) Vol. 56, Iss. 4, pp. 606-620
Closed Access
Characteristics of sleep disturbance across two waves of the COVID-19 pandemic among nursing staffs
Pei-Jhen Wu, Wen Chun Wang, Chin-Lien Liu, et al.
Sleep Medicine X (2024) Vol. 8, pp. 100120-100120
Open Access
Using natural language processing approaches to characterize professional experiences of child welfare workers
Karikarn Chansiri, Xinyu Wei, Ka Ho Brian Chor
Children and Youth Services Review (2024), pp. 107930-107930
Closed Access
Sentiment analysis of patient and family-related sepsis events. (Preprint)
Mabel Ntiamoah, Teenu Xavier, Joshua Lambert
(2023)
Open Access
Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Resident Feedback Field Notes: Retrospective Cohort Study (Preprint)
Kevin Lu, Christopher Meaney, Elaine Guo, et al.
(2022)
Open Access
Page 1

Scroll to top