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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:

#Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtags
Yu‐Ru Lin, Drew Margolin, Brian Keegan, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2021) Vol. 7, Iss. 1, pp. 370-379
Open Access | Times Cited: 70

Showing 26-50 of 70 citing articles:

Measuring and monitoring collective attention during shocking events
Xingsheng He, Yu‐Ru Lin
EPJ Data Science (2017) Vol. 6, Iss. 1
Open Access | Times Cited: 17
Hashtag Drift
Kyle Booten
(2016), pp. 2401-2405
Closed Access | Times Cited: 14
Understanding Communities via Hashtag Engagement: A Clustering Based Approach
Orianna DeMasi, Douglas Mason, Jeff Ma
Proceedings of the International AAAI Conference on Web and Social Media (2021) Vol. 10, Iss. 1, pp. 102-111
Open Access | Times Cited: 12
Unraveling the Dynamics of Television Debates and Social Media Engagement: Insights from an Indian News Show
Kiran Garimella, Abhilash Datta
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 435-447
Open Access | Times Cited: 1
El rol de la ciudadanía en la conversación política en X. El caso de la #MocionDeCensura de 2023 en España
Laura Alonso-Muñoz, Andreu Casero-Ripollés
Revista Mediterránea de Comunicación (2024) Vol. 15, Iss. 2, pp. e26829-e26829
Open Access | Times Cited: 1
#Bieber + #Blast = #BieberBlast: Early Prediction of Popular Hashtag Compounds
Suman Maity, Ritvik Saraf, Animesh Mukherjee
arXiv (Cornell University) (2016), pp. 50-63
Open Access | Times Cited: 10
Online social network evolution: Revisiting the Twitter graph
Hariton Efstathiades, Demetris Antoniades, George Pallis, et al.
2021 IEEE International Conference on Big Data (Big Data) (2016) Vol. 5, pp. 626-635
Closed Access | Times Cited: 10
Predicting Online Protest Participation of Social Media Users
Suhas Ranganath, Fred Morstatter, Xia Hu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2016) Vol. 30, Iss. 1
Open Access | Times Cited: 10
Tackling the Challenges of Situational Awareness Extraction in Twitter with an Adaptive Approach
Haji Mohammad Saleem, Faiyaz Al Zamal, Derek Ruths
Procedia Engineering (2015) Vol. 107, pp. 301-311
Open Access | Times Cited: 9
Hunters and collectors: seeking social media content for cultural heritage collections
Kathryn Barwick, Mylee Joseph
(2014)
Closed Access | Times Cited: 9
Shifting Stakes: Understanding the Dynamic Roles of Individuals and Organizations in Social Media Protests
Emma S. Spiro, Andrés Monroy‐Hernández
PLoS ONE (2016) Vol. 11, Iss. 10, pp. e0165387-e0165387
Open Access | Times Cited: 9
Cascades
Rahmtin Rotabi, Krishna Kamath, Jon Kleinberg, et al.
(2017), pp. 587-596
Open Access | Times Cited: 9
Towards the prediction problems of bursting hashtags on Twitter
Shoubin Kong, Fei Ye, Ling Feng, et al.
Journal of the Association for Information Science and Technology (2015) Vol. 66, Iss. 12, pp. 2566-2579
Closed Access | Times Cited: 8
Event-Related Crowd Activities on Social Media
Yu‐Ru Lin
Social Phenomena (2015), pp. 235-250
Closed Access | Times Cited: 7
Out of Vocabulary Words Decrease, Running Texts Prevail and Hashtags Coalesce: Twitter as an Evolving Sociolinguistic System
Suman Maity, Bhadreswar Ghuku, Abhishek Upmanyu, et al.
(2016) Vol. abs 1305 3107, pp. 1681-1690
Open Access | Times Cited: 7
The emergence and evolution of master terms in the public debate about livestock farming: Semantic fields, communication strategies and policy practices
Tim Stevens, Noëlle Aarts, Art Dewulf
Discourse Context & Media (2019) Vol. 31, pp. 100317-100317
Open Access | Times Cited: 7
Modeling Collective Anticipation and Response on Wikipedia
Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2021) Vol. 15, pp. 315-326
Open Access | Times Cited: 7
Predicting Online Protest Participation of Social Media Users
Suhas Ranganath, Fred Morstatter, Xia Hu, et al.
arXiv (Cornell University) (2015)
Open Access | Times Cited: 6
#Bieber + #Blast = #BieberBlast
Suman Maity, Ritvik Saraf, Animesh Mukherjee
(2016)
Open Access | Times Cited: 5
The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data
Chi Ling Chan, Justin Lai, Bryan Hooi, et al.
Lecture notes in computer science (2017), pp. 499-517
Open Access | Times Cited: 5
The Ripples of Fear, Comfort and Community Identity During the Boston Bombings
Yu‐Ru Lin
iConference 2014 Proceedings (2014)
Open Access | Times Cited: 4
Trend prediction of hot words in weibo based on fuzzy time series
Wanning Liu, Kai Niu, Zhiqiang He, et al.
(2016), pp. 354-358
Closed Access | Times Cited: 3
Open-Domain Trending Hashtag Recommendation for Videos
Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, et al.
(2021) Vol. 9, pp. 174-181
Closed Access | Times Cited: 4
Explaining the emergence of online popularity through a model of information diffusion
A. Fonseca, Jorge Louçã
Computational and Mathematical Organization Theory (2017) Vol. 24, Iss. 2, pp. 169-187
Closed Access | Times Cited: 3
Using Sessions from Clickstream Data Analysis to Uncover Different Types of Twitter Behaviour
Florian Meier, Johannes Aigner, David Elsweiler
Ingénierie des systèmes d information (2017), pp. 237-250
Closed Access | Times Cited: 3

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