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:

Dynamic topic modeling of twitter data during the COVID-19 pandemic
Alexander Bogdanowicz, ChengHe Guan
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0268669-e0268669
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Advances in natural language processing for healthcare: A comprehensive review of techniques, applications, and future directions
Fatmah Alafari, Maha Driss, Asma Cherif
Computer Science Review (2025) Vol. 56, pp. 100725-100725
Closed Access | Times Cited: 1
Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron
Janhavi Lande, Arti Pillay, Rohitash Chandra
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0288681-e0288681
Open Access | Times Cited: 11
Agenda-setting effects for covid-19 vaccination: Insights from 10 million textual data from social media and news articles using BERTopic
Hyunsang Son, Young Eun Park
International Journal of Information Management (2025) Vol. 83, pp. 102907-102907
Closed Access
The rise and fall of K-Fashion business: exploring the impact of corporate failure news on stock market indices
Hyojung Kim
Fashion and Textiles (2025) Vol. 12, Iss. 1
Open Access
Decoding HIV Discourse on Social Media: A Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis (Preprint)
Xiangming Zhan, Meijia Song, Cho‐Hee Shrader, et al.
(2025)
Closed Access
Understanding underlying moral values and language use of COVID-19 vaccine attitudes on twitter.
Judith Borghouts, Yicong Huang, Sydney Gibbs, et al.
PubMed (2023) Vol. 2, Iss. 3, pp. pgad013-pgad013
Closed Access | Times Cited: 9
Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations
Rasha Obeidat, Maram Gharaibeh, Malak Abdullah, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1151-e1151
Open Access | Times Cited: 11
How do density, employment and transit affect the prevalence of COVID-19 pandemic? A study of 3,141 counties across the United States
ChengHe Guan, Jun Jie Tan, Ying Li, et al.
Health & Place (2023) Vol. 84, pp. 103117-103117
Closed Access | Times Cited: 6
HatEmoTweet: low-level emotion classifications and spatiotemporal trends of hate and offensive COVID-19 tweets
Ademola Adesokan, Sanjay Madria, Long Nguyen
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Using Twitter to understand spatial-temporal changes in urban green space topics based on structural topic modelling
Nan Cui, Nick Malleson, Victoria Houlden, et al.
Cities (2024) Vol. 157, pp. 105601-105601
Closed Access | Times Cited: 1
Summarizing twitter posts regarding COVID-19 based on n-grams
Noralhuda N. Alabid, Zahraa Naseer
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 31, Iss. 2, pp. 1008-1008
Open Access | Times Cited: 3
Impact of COVID-19 outbreak and vaccination on ride-sharing services: a social media analysis
Sina Shokoohyar, Vahid Ghomi, Amirsalar Jafari Gorizi, et al.
Transportation Letters (2023) Vol. 16, Iss. 6, pp. 527-541
Closed Access | Times Cited: 2
Analyzing User Behavior in Social Media through Big Data Analytics
Aman Yadav, Murhib Alahmar, Aniket Singh, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 2
Utilizing computational methods for analysing media framing of organizational crises: The ‘Datalek’ scandal during the COVID‐19 pandemic in the Netherlands
Dennis Nguyen, Sergül Nguyen, Phuong Hoan Le, et al.
Journal of Contingencies and Crisis Management (2024) Vol. 32, Iss. 3
Open Access
A Clustering Based Approach for Topic Categorization using GloVe Technique
Farha Naznin, Irani Hazarika, Anjana Kakoti Mahanta
INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING (2024)
Closed Access
Modeling the impacts of governmental and human responses on COVID-19 spread using statistical machine learning
Binbin Lin, Yimin Dai, Lei Zou, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access
Comparing User Activity on X and Mastodon
Shiori Hironaka, Mitsuo Yoshida, Kazuyuki Shudo
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 2967-2972
Closed Access
Modelamiento de tópicos utilizando mensajes de Twitter relacionados al cáncer cervical
Ruth Reátegui
Interfases (2022), Iss. 016, pp. 41-52
Open Access | Times Cited: 1
HatEmoTweet: Low Level Emotion Classifications and Spatio-Temporal Trends of Hate and Offensive COVID-19 Tweets
Ademola Adesokan, Sanjay Madria, Long Nguyen
Research Square (Research Square) (2023)
Open Access
Topic extraction and categorization using a glove based technique for representing topics
Farha Naznin Research Scholar, Irani Hazarika, Anjana Kakoti Mahanta
Research Square (Research Square) (2023)
Open Access
The BTS Effect: How K-Pop Fandoms Reshape Sociopolitical Messaging on Twitter
Alejandra Regla-Vargas, AJ Alvero, Grace Kao
(2023)
Open Access
Analysis of Twitter Data on Covid-19 and School Transportation: A Topic Modeling Approach
Hannah Musau, Judith Mwakalonge, Gurcan Comert, et al.
(2023)
Closed Access
Peer Review #3 of "Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations (v0.2)"
MK Elhadad
(2022)
Open Access
Peer Review #1 of "Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations (v0.1)"
Rasha Obeidat, Maram Gharaibeh, Malak Abdullah, et al.
(2022)
Open Access
Peer Review #2 of "Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations (v0.2)"
Rasha Obeidat, Maram Gharaibeh, Malak Abdullah, et al.
(2022)
Open Access
Page 1 - Next Page

Scroll to top