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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:

A Novel Stream Clustering Framework for Spam Detection in Twitter
Hadi Tajalizadeh, Reza Boostani
IEEE Transactions on Computational Social Systems (2019) Vol. 6, Iss. 3, pp. 525-534
Closed Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

Opinion extraction from big social data using machine learning techniques: A survey
Devendra Kumar, Faiyaz Ahamad
AIP conference proceedings (2023) Vol. 2916, pp. 030005-030005
Closed Access | Times Cited: 2
State of the Art on Twitter Spam Detection
Dipalee Bhalerao Borse, Swati Borse
Smart innovation, systems and technologies (2022), pp. 486-496
Closed Access | Times Cited: 4
Social Network Mining for Predicting Users’ Credibility with Optimal Feature Selection
P. Jayashree, K. Laila, K. Santhosh Kumar, et al.
Lecture notes in networks and systems (2021), pp. 361-373
Closed Access | Times Cited: 5
Kernel Probabilistic Dependent-Independent Canonical Correlation Analysis
Reza Rohani Sarvestani, Ali Gholami, Reza Boostani
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-20
Open Access
Unsupervised Machine Learning for Bot Detection on Twitter: Generating and Selecting Features for Accurate Clustering
Raad Al-azawi, Safaa O. Al‐Mamory
INTELIGENCIA ARTIFICIAL (2024) Vol. 27, Iss. 73, pp. 142-158
Open Access
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
A Survey On Twitter Spam Drift Detection using Machine Learning
G. Venkata Durga Bhavani, K. Jayasri Rama Lakshmi, Sirisha Korrai, et al.
(2024), pp. 345-349
Closed Access
Detection and Analysis of Cryptocurrency Scams on Twitter
Karuna K. Chandra, Karan Kalla, Jagriti Bhatia, et al.
Lecture notes in computer science (2024), pp. 3-14
Closed Access
Design and Development of Techniques for Fake Profile Detection in Online Social Networks
R. Anto Arockia Rosaline, D. Vinod, P. Nancy, et al.
(2024), pp. 319-336
Closed Access
CGANS: a code-based GAN for spam detection in social media
A.M. Rashidi, Mostafa Salehi, Shaghayegh Najari
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
A Review
S. Raja Ratna, Sujatha Krishnamoorthy, J. Jospin Jeya, et al.
Advances in information security, privacy, and ethics book series (2023), pp. 37-51
Closed Access | Times Cited: 1
Towards Linked Data for Wikidata Revisions and Twitter Trending Hashtags
Paula Dooley, Bojan Božić
(2019), pp. 166-175
Closed 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
Twitter Spam Detection Using Word Vector and Binary Classifier
Ramaprabha Marimuthu, Gurusigaamani Ayyanar Muthulingam, Vinoth N.A. S, et al.
(2023), pp. 972-979
Closed Access
Evaluating the Performance of Machine Learning Classifiers for Detecting Twitter Spam
Dipalee Bhalerao Borse, Swati Borse, Vijaya Ahire
International Journal of Computer Applications (2023) Vol. 185, Iss. 10, pp. 12-17
Open Access
A Unified Neuro-Fuzzy Framework to Assess the User Credibility on Twitter
K. Laila, P. Jayashree, V. Vinuvarsidh
IETE Journal of Research (2023) Vol. 70, Iss. 2, pp. 1407-1424
Closed Access
Comparative study of different machine learning models for detecting spam tweet
G Sanjana, C. O. Prakash
AIP conference proceedings (2023) Vol. 2931, pp. 060004-060004
Closed Access
Spam, a Digital Pollution and Ways to Eradicate It
Chinthapanti Bharath Sai Reddy, Shaurya Chaudhary, S Kandasamy
International Journal of Engineering and Advanced Technology (2019) Vol. 9, Iss. 2, pp. 2630-2638
Open 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
Towards Linked Data for Wikidata Revisions and Twitter Trending Hashtags
Paula Dooley, Bojan Božić
Journal of Data Intelligence (2020) Vol. 1, Iss. 3, pp. 351-377
Closed Access
Deep Ensemble Model for Spam Classification in Twitter via Sentiment Extraction: Bio-Inspiration-Based Classification Model
Bharati Ainapure, Mythili Boopathi, Chandra Sekhar Kolli, et al.
International Journal of Image and Graphics (2022) Vol. 23, Iss. 04
Closed Access
A Comprehensive Survey of Datasets Used for Spam and Genuineness Views Detection in Twitter
Monal R. Torney, K. H. Walse, V. M. Thakare
Lecture notes on data engineering and communications technologies (2022), pp. 223-237
Closed Access
An approach for constructing expert yellow pages for community question answering sites
Ming Li, Xiaoyu Qi, Ying Li, et al.
Expert Systems (2021) Vol. 38, Iss. 4
Closed Access

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