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 Hashtag
Yu‐Ru Lin, Drew Margolin, Brian Keegan, et al.
arXiv (Cornell University) (2013)
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Searchable talk: the linguistic functions of hashtags
Michele Zappavigna
Social Semiotics (2015) Vol. 25, Iss. 3, pp. 274-291
Closed Access | Times Cited: 387

Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack
Pete Burnap, Matthew Williams, Luke Sloan, et al.
Social Network Analysis and Mining (2014) Vol. 4, Iss. 1
Open Access | Times Cited: 222

Rising Tides or Rising Stars?: Dynamics of Shared Attention on Twitter during Media Events
Yu-Ru Lin, Brian Keegan, Drew Margolin, et al.
PLoS ONE (2014) Vol. 9, Iss. 5, pp. e94093-e94093
Open Access | Times Cited: 150

The ripple of fear, sympathy and solidarity during the Boston bombings
Yu‐Ru Lin, Drew Margolin
EPJ Data Science (2014) Vol. 3, Iss. 1
Open Access | Times Cited: 72

Sharing political news: the balancing act of intimacy and socialization in selective exposure
Jisun An, Daniele Quercia, Meeyoung Cha, et al.
EPJ Data Science (2014) Vol. 3, Iss. 1
Open Access | Times Cited: 69

Predicting bursts and popularity of hashtags in real-time
Shoubin Kong, Qiaozhu Mei, Ling Feng, et al.
(2014), pp. 927-930
Closed Access | Times Cited: 67

Twitter Trends Manipulation: A First Look Inside the Security of Twitter Trending
Yubao Zhang, Xin Ruan, Haining Wang, et al.
IEEE Transactions on Information Forensics and Security (2016), pp. 1-1
Closed Access | Times Cited: 46

Timescales of Massive Human Entrainment
Riccardo Fusaroli, Marcus Perlman, Alan Mislove, et al.
PLoS ONE (2015) Vol. 10, Iss. 4, pp. e0122742-e0122742
Open Access | Times Cited: 39

Codified Hashtags for Weather Warning on Twitter: an Italian Case Study
Valentina Grasso, Alfonso Crisci
PLoS Currents (2016)
Open Access | Times Cited: 24

Tipping Points for Norm Change in Human Cultures
Soham De, Dana S. Nau, Xinyue Pan, et al.
Lecture notes in computer science (2018), pp. 61-69
Open Access | Times Cited: 21

Effects of Disaster Characteristics on Twitter Event Signature
Haji Mohammad Saleem, Yishi Xu, Derek Ruths
Procedia Engineering (2014) Vol. 78, pp. 165-172
Open Access | Times Cited: 18

Towards a standard sampling methodology on online social networks: collecting global trends on Twitter
C. A. Piña-García, Carlos Gershenson, J. Mario Siqueiros-García
Applied Network Science (2016) Vol. 1, Iss. 1
Open Access | Times Cited: 17

#greysanatomy vs. #yankees: Demographics and Hashtag Use on Twitter
Jisun An, Ingmar Weber
Proceedings of the International AAAI Conference on Web and Social Media (2021) Vol. 10, Iss. 1, pp. 523-526
Open Access | Times Cited: 14

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

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

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

On the Real-time Prediction Problems of Bursting Hashtags in Twitter
Shoubin Kong, Qiaozhu Mei, Ling Feng, et al.
arXiv (Cornell University) (2014)
Open 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

What Do the People Think?: E-Petitioning and Policy Decision Making
Catherine Dumas, Teresa M. Harrison, Loni Hagen, et al.
Public administration and information technology (2017), pp. 187-207
Closed 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

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

An Approach to Analyse a Hashtag-Based Topic Thread in Twitter
Ekaterina Shabunina, Stefania Marrara, Gabriella Pasi
Lecture notes in computer science (2016), pp. 350-358
Closed Access | Times Cited: 3

Monitoring Collective Attention During Disasters
Xingsheng He, Yu‐Ru Lin
(2016), pp. 458-462
Closed Access | Times Cited: 2

Collective Sensemaking via Social Sensors
Yuheng Hu, Yu‐Ru Lin, Jiebo Luo
(2016), pp. 2127-2128
Closed Access | Times Cited: 1

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