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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.

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Showing 25 citing articles:

Detection of Social Network Spam Based on Improved Machine Learning
Rakhi Singh, Mamta Bansal, Shubhi Gupta, et al.
(2022), pp. 2257-2261
Closed Access | Times Cited: 23
Effective Strategies for Addressing Class Imbalance in Identifying Spam on Twitter
Dipalee Bhalerao Borse, Swati Borse
(2025), pp. 327-340
Closed Access
A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges
Munmun Bhattacharya, Sandip Roy, Samiran Chattopadhyay, et al.
Security and Privacy (2022) Vol. 6, Iss. 1
Closed Access | Times Cited: 16
An efficient spam detector model for accurate categorization of spam tweets using quantum chaotic optimization-based stacked recurrent network
R. Babu, K. Jayashree, Brahmadesam Viswanathan Krishna, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 19, pp. 18523-18540
Closed Access | Times Cited: 9
Machine learning algorithm-based spam detection in social networks
M. Sumathi, S. P. Raja
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection
Jaeun Choi, Byunghwan Jeon, Chunmi Jeon
Sensors (2024) Vol. 24, Iss. 7, pp. 2263-2263
Open Access | Times Cited: 1
Bio-Inspired Algorithm Based Undersampling Approach and Ensemble Learning for Twitter Spam Detection
K. Kiruthika Devi, Gulshan Kumar
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2024) Vol. 32, Iss. 01, pp. 1-20
Closed Access | Times Cited: 1
Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations
Hailu Xu, Pinchao Liu, Boyuan Guan, et al.
IEEE Access (2023) Vol. 11, pp. 7768-7781
Open Access | Times Cited: 3
Advancements in Machine Learning Technologies for Detecting and Addressing Harmful Behaviours in Online Platforms
Joel Dmello, R Srivaramangai
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 3, pp. 2197-2203
Open Access
Detecting Email Spam with NLP: A Machine Learning Approach
Pallavi Jain, S. Paul Singh, Chaitanya Kumar Saxena
(2024), pp. 393-398
Closed Access
Suspicious behaviour detection in multilayer social networks using PF-KMA and SS-GAE techniques
B. L. Sandeep, G. M. Siddesh, E. Naresh
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
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
Twitter spam drift detection by semi supervised learning approach using YATSI algorithm
P. Sivakumar, Manimalha Balasubramani, R. Sowndharya, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access
Ensemble Learning Models for Detecting Spam Over Social Networks Using RFE
V. Saraswathi, A. Adaikkammai, S Anitha Jebamani, et al.
Communications in computer and information science (2024), pp. 150-164
Closed Access
Complex-Network based model for SMS spam filtering
Shaghayegh Hosseinpour, Hadi Shakibian
Computer Networks (2024) Vol. 255, pp. 110892-110892
Closed Access
Machine Learning Model for the E-mail Spam Detection with Data Mining Techniques
Sakshi Kinha, Ganesh Gupta, Kavita Kavita
Lecture notes in networks and systems (2023), pp. 511-519
Closed Access | Times Cited: 1
ReSD: Realtime Spam Detection for Social Media Textual Conversation
C. Valliyammai, B Guhan, D Manikandan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Hybrid categorical expert system for use in content aggregation
Denis Aleksandrovich Kiryanov
Программные системы и вычислительные методы (2021), Iss. 4, pp. 1-22
Open Access | Times Cited: 2
Email Filtering Using Hybrid Feature Selection Model
Adel Hamdan Mohammad, Sami Smadi, Tariq Alwada‘n
Computer Modeling in Engineering & Sciences (2022) Vol. 132, Iss. 2, pp. 435-450
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
Machine learning algorithms-based spam detection in social networks
M. Sumathi, S. P. Raja
Research Square (Research Square) (2023)
Open Access
Machine Learning Models for Email Spam Detection: A Review
Deepak Yadav, Er. Bhupinder Kaur
(2023), pp. 1109-1114
Closed Access
Feature Reduction and Hybrid Machine Learning Model for Email Spam Prediction
Deepak Yadav, Er. Bhupinder Kaur
(2023), pp. 345-350
Closed Access
Analysis of Spammer Reporting Techniques on Online Social Networks
K. Ganesh, RM Noorullah, Moulana Mohammed
(2023), pp. 1-8
Closed Access
A Scalable Aggregation System Designed to Process 50,000 RSS Feeds
Denis Aleksandrovich Kiryanov
Программные системы и вычислительные методы (2022), Iss. 4, pp. 20-38
Open Access
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