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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:

“TwitterSpamDetector”
Abdullah Talha Kabakuş, Resul Kara
International Journal of Knowledge and Systems Science (2019) Vol. 10, Iss. 3, pp. 1-14
Closed Access | Times Cited: 13

Showing 13 citing articles:

Contents-Based Spam Detection on Social Networks Using RoBERTa Embedding and Stacked BLSTM
Razan Ghanem, Hasan Erbay, Khaled Bakour
SN Computer Science (2023) Vol. 4, Iss. 4
Closed Access | Times Cited: 25
A hybrid Data-Driven framework for Spam detection in Online Social Network
Chanchal Kumar, Taran Singh Bharti, Shiv Prakash
Procedia Computer Science (2023) Vol. 218, pp. 124-132
Open Access | Times Cited: 16
Tweet-Based Bot Detection Using Big Data Analytics
Abdelouahid Derhab, Rahaf Abdulaziz Alawwad, Khawlah Dehwah, et al.
IEEE Access (2021) Vol. 9, pp. 65988-66005
Open Access | Times Cited: 31
ALBERT4Spam: A Novel Approach for Spam Detection on Social Networks
Razan Ghanem, Hasan Erbay, Halit Bakır
Bilişim Teknolojileri Dergisi (2024) Vol. 17, Iss. 2, pp. 81-94
Open Access | Times Cited: 2
SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network
Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu, et al.
Information (2021) Vol. 12, Iss. 10, pp. 389-389
Open Access | Times Cited: 5
Developing the Framework Using Deep Neural Network for Detection of Spam and Fake Spam Messages in Twitter
Neeraj Kumar, Thatha Anusha, Nagamalla Durga Prasad, et al.
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 2, pp. 661-668
Open Access
Towards the Future of Bot Detection: A Comprehensive Taxonomical Review and Challenges on Twitter/X
Danish Javed, N. Z. Jhanjhi, Navid Ali Khan, et al.
Computer Networks (2024), pp. 110808-110808
Closed Access
Virtual Personal Trainer
Anuja Arora, Anu Taneja, Mayank Gupta, et al.
International Journal of Knowledge and Systems Science (2022) Vol. 12, Iss. 4, pp. 71-91
Open Access | Times Cited: 2
Framework for Spam Detection Using Multi-objective Optimization Algorithm
M. Deepika, Nagaratna P. Hegde
Smart innovation, systems and technologies (2021), pp. 345-355
Closed Access | Times Cited: 2
Optimized generative adversarial network with fractional calculus based feature fusion using Twitter stream for spam detection
B. Venkateswarlu, V. Viswanath Shenoi
Information Security Journal A Global Perspective (2021) Vol. 31, Iss. 5, pp. 582-601
Closed Access | Times Cited: 2
A MULTI-CLASSIFIER APPROACH FOR TWITTER SPAM DETECTION USING INNOVATIVE ANN-FDT ALGORITHM
M. Arunkrishna, B. Mukunthan
Indian Journal of Computer Science and Engineering (2020) Vol. 11, Iss. 5, pp. 547-556
Open Access | Times Cited: 1
Analyzing the Efficacy of Bot Detection Methods on Twitter/X
Danish Javed, Noor Zaman, Navid Ali Khan, et al.
(2023)
Closed Access
An Experimental Study of Spammer Detection on Chinese Microblogs
Jialing Liang, Peiquan Jin, Lin Mu, et al.
International Journal of Software Engineering and Knowledge Engineering (2020) Vol. 30, Iss. 11n12, pp. 1759-1777
Closed Access
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