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:

Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
Lu Cheng, Kai Shu, Siqi Wu, et al.
(2020) Vol. 6, pp. 185-194
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Lu Cheng, Kush R. Varshney, Huan Liu
Journal of Artificial Intelligence Research (2021) Vol. 71, pp. 1137-1181
Open Access | Times Cited: 139

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren, Feng Xia, Ivan Lee, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 2, pp. 1-29
Open Access | Times Cited: 23

HateMM: A Multi-Modal Dataset for Hate Video Classification
Mithun Das, Rohit Raj, Punyajoy Saha, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2023) Vol. 17, pp. 1014-1023
Open Access | Times Cited: 15

A Systematic Review of Machine Learning Algorithms in Cyberbullying Detection: Future Directions and Challenges
Muhammad Arif
Journal of Information Security and Cybercrimes Research (2021) Vol. 4, Iss. 1, pp. 01-26
Open Access | Times Cited: 31

Artificial Intelligence Algorithms for Treatment of Diabetes
Mudassir Rashid, Mohammad Reza Askari, Canyu Chen, et al.
Algorithms (2022) Vol. 15, Iss. 9, pp. 299-299
Open Access | Times Cited: 20

Online offensive behaviour in socialmedia: Detection approaches, comprehensive review and future directions
Sneha Chinivar, Roopa M.S., Arunalatha J.S., et al.
Entertainment Computing (2022) Vol. 45, pp. 100544-100544
Closed Access | Times Cited: 17

Session-Based Cyberbullying Detection: Problems and Challenges
Lu Cheng, Yasin N. Silva, Deborah L. Hall, et al.
IEEE Internet Computing (2020) Vol. 25, Iss. 2, pp. 66-72
Open Access | Times Cited: 26

Cyberbullying Conceptualization, Characterization and Detection in Social Media – A Systematic Literature Review
Wai Hong Woo, Hui Na Chua, May Fen Gan
International Journal on Perceptive and Cognitive Computing (2023) Vol. 9, Iss. 1, pp. 101-121
Open Access | Times Cited: 8

Detection of Harassment Type of Cyberbullying: A Dictionary of Approach Words and Its Impact
Syed Mahbub, Eric Pardede, A. S. M. Kayes
Security and Communication Networks (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 16

Building towards Automated Cyberbullying Detection: A Comparative Analysis
Lulwah M. Al-Harigy, Hana Al-Nuaim, Naghmeh Moradpoor, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 10

Comparative analysis on deep neural network models for detection of cyberbullying on Social Media
Sivadi Balakrishna, Yerrakula Gopi, Vijender Kumar Solanki
Ingenieria Solidaria (2022) Vol. 18, Iss. 1, pp. 1-33
Open Access | Times Cited: 9

Site Agnostic Approach to Early Detection of Cyberbullying on Social Media Networks
Manuel López-Vizcaíno, Francisco J. Nóvoa, Thierry Artières, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4788-4788
Open Access | Times Cited: 4

An efficient automated multi-modal cyberbullying detection using decision fusion classifier on social media platforms
Neha Minder Singh, Sanjay Kumar Sharma
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 20507-20535
Closed Access | Times Cited: 4

On the dynamics of political discussions on Instagram: A network perspective
Carlos H. G. Ferreira, Fabrício Murai, Ana Paula Couto da Silva, et al.
Online Social Networks and Media (2021) Vol. 25, pp. 100155-100155
Open Access | Times Cited: 10

An Automatic Privacy-Aware Framework for Text Data in Online Social Network Based on a Multi-Deep Learning Model
Gan Liu, Xiongtao Sun, Y. Li, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-23
Open Access | Times Cited: 3

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Lu Cheng, Kush R. Varshney, Huan Liu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8

Smart Cyber Victimization Discovery on Twitter
Niloufar Shoeibi, Nastaran Shoeibi, Vicente Julián, et al.
Lecture notes in networks and systems (2021), pp. 289-299
Closed Access | Times Cited: 8

Unsupervised Hybrid approaches for Cyberbullying Detection in Instagram
I. Abishak, M. Kabilash, R Ramesh, et al.
International Journal of Computer Applications (2021) Vol. 174, Iss. 26, pp. 40-46
Open Access | Times Cited: 6

Arabic Cyberbullying Detection Using Machine Learning: State of the Art Survey
Norah Alsunaidi, Sara Aljbali, Yasmin Yasin, et al.
(2023), pp. 499-504
Closed Access | Times Cited: 2

Hateful Comment Detection and Hate Target Type Prediction for Video Comments
Shrey Gupta, Pratyush Priyadarshi, Manish Gupta
(2023), pp. 3923-3927
Closed Access | Times Cited: 2

Improving Cyberbullying Detection with User Interaction
Suyu Ge, Lu Cheng, Huan Liu
(2021), pp. 496-506
Open Access | Times Cited: 5

Detecting Virtual Harassment in Social Media Using Machine Learning
Lina Feriel Benassou, Safa Bendaouia, Osman Salem, et al.
Lecture notes in computer science (2024), pp. 185-198
Closed Access

Filtering objectionable information access based on click-through behaviours with deep learning methods
Lung‐Hao Lee, Jianhong Li, Szu-Wei Ku, et al.
Journal of Information Science (2023)
Closed Access | Times Cited: 1

Can Machine Learning Really Detect Cyberbullying?
Leevesh Pokhun, Mohammad Yasser Chuttur
International Journal of Bullying Prevention (2023)
Closed Access | Times Cited: 1

Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc.
Sarah Masud, Pinkesh Pinkesh, Amitava Das, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 1629-1631
Closed Access | Times Cited: 2

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