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:

#lockdown: Network-Enhanced Emotional Profiling in the Time of COVID-19
Massimo Stella, Valerio Restocchi, Simon De Deyne
Big Data and Cognitive Computing (2020) Vol. 4, Iss. 2, pp. 14-14
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Trait emotional intelligence and emotional experiences during the COVID-19 pandemic outbreak in Poland: A daily diary study
Marcin Moroń, Magdalena Biolik-Moroń
Personality and Individual Differences (2020) Vol. 168, pp. 110348-110348
Open Access | Times Cited: 146

Gender differences in emotional response to the COVID‐19 outbreak in Spain
Lorena García‐Fernández, Verónica Romero‐Ferreiro, Sergio Padilla, et al.
Brain and Behavior (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 141

Sentiment analysis and topic modeling for COVID-19 vaccine discussions
Hui Yin, Xiangyu Song, Shuiqiao Yang, et al.
World Wide Web (2022) Vol. 25, Iss. 3, pp. 1067-1083
Open Access | Times Cited: 96

Public risk perception and emotion on Twitter during the Covid-19 pandemic
Joel Dyer, Blas Kolic
Applied Network Science (2020) Vol. 5, Iss. 1
Open Access | Times Cited: 102

Changing emotions in the COVID-19 pandemic: A four-wave longitudinal study in the United States and China
Ying Li, Shenghua Luan, Yugang Li, et al.
Social Science & Medicine (2021) Vol. 285, pp. 114222-114222
Open Access | Times Cited: 70

The role played by government communication on the level of public fear in social media: An investigation into the Covid-19 crisis in Italy
Romain Lerouge, Melisa Diaz Lema, Michela Arnaboldi
Government Information Quarterly (2023) Vol. 40, Iss. 2, pp. 101798-101798
Open Access | Times Cited: 31

EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science
Alfonso Semeraro, Salvatore Vilella, Riccardo Improta, et al.
Behavior Research Methods (2025) Vol. 57, Iss. 2
Closed Access | Times Cited: 1

Relationship Between COVID-19 Information Sources and Attitudes in Battling the Pandemic Among the Malaysian Public: Cross-Sectional Survey Study
Emma Mohamad, Jen Sern Tham, Suffian Hadi Ayub, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e23922-e23922
Open Access | Times Cited: 59

PyPlutchik: Visualising and comparing emotion-annotated corpora
Alfonso Semeraro, Salvatore Vilella, Giancarlo Ruffo
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0256503-e0256503
Open Access | Times Cited: 44

Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review
Massimo Stella
Topics in Cognitive Science (2021) Vol. 14, Iss. 1, pp. 143-162
Open Access | Times Cited: 41

Hybrid Emotion-Aware Monitoring System Based on Brainwaves for Internet of Medical Things
Weizhi Meng, Yong Cai, Laurence T. Yang, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 21, pp. 16014-16022
Open Access | Times Cited: 37

Analyzing Political Polarization on Social Media by Deleting Bot Spamming
Riccardo Cantini, Fabrizio Marozzo, Domenico Talia, et al.
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 1, pp. 3-3
Open Access | Times Cited: 24

DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning
Asra Fatima, Ying Li, Thomas T. Hills, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 4, pp. 77-77
Open Access | Times Cited: 27

Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust
Massimo Stella, Michael S. Vitevitch, Federico Botta
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 2, pp. 52-52
Open Access | Times Cited: 19

Analysis and Insights for Myths Circulating on Twitter During the COVID-19 Pandemic
Shuiqiao Yang, Jiaojiao Jiang, Arindam Pal, et al.
IEEE Open Journal of the Computer Society (2020) Vol. 1, pp. 209-219
Open Access | Times Cited: 29

Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media
Andi Muhammad Tri Sakti, Emma Mohamad, Arina Anis Azlan
Journal of Medical Internet Research (2021) Vol. 23, Iss. 8, pp. e28249-e28249
Open Access | Times Cited: 26

Sentiment Analysis of Rumor Spread Amid COVID-19: Based on Weibo Text
Peng Wang, Huimin Shi, Xiaojie Wu, et al.
Healthcare (2021) Vol. 9, Iss. 10, pp. 1275-1275
Open Access | Times Cited: 24

A Content Analysis of Coronavirus Tweets in the United States Just Prior to the Pandemic Declaration
Amanda D. Damiano, Jennifer R. Allen Catellier
Cyberpsychology Behavior and Social Networking (2020) Vol. 23, Iss. 12, pp. 889-893
Closed Access | Times Cited: 27

Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study
Mark Green, Elena Musi, Francisco Rowe, et al.
Big Data & Society (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 19

Cognitive network neighborhoods quantify feelings expressed in suicide notes and Reddit mental health communities
Simmi Marina Joseph, Salvatore Citraro, Virginia Morini, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 610, pp. 128336-128336
Closed Access | Times Cited: 13

The Pandemic in Words: Tracking Fast Semantic Changes via a Large-Scale Word Association Task
Julieta Laurino, Simon De Deyne, Álvaro Cabana, et al.
Open Mind (2023) Vol. 7, pp. 221-239
Open Access | Times Cited: 7

Differences and similarities in the conceptualization of COVID-19 and other diseases in the first Italian lockdown
Claudia Mazzuca, Ilenia Falcinelli, Arthur-Henri Michalland, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 16

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

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