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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:

Social Media Cyberbullying Detection using Machine Learning
John Hani, Mohamed Nashaat, Mostafa Ahmed, et al.
International Journal of Advanced Computer Science and Applications (2019) Vol. 10, Iss. 5
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Detecting A Twitter Cyberbullying Using Machine Learning
Rahul Ramesh Dalvi, Sudhanshu Baliram Chavan, Aparna Halbe
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2020), pp. 297-301
Closed Access | Times Cited: 76
A Human-Centered Systematic Literature Review of Cyberbullying Detection Algorithms
Seung-Hyun Kim, Afsaneh Razi, Gianluca Stringhini, et al.
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW2, pp. 1-34
Open Access | Times Cited: 57
An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying
Abdulkarim Faraj Alqahtani, Mohammad Ilyas
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 156-170
Open Access | Times Cited: 9
The Impact of Data processing and Ensemble on Breast Cancer Detection Using Deep Learning
Ammar Mohamed, Eslam Amer, sara Noor Eldin, et al.
Journal of Computing and Communication (2022) Vol. 1, Iss. 1, pp. 27-37
Open Access | Times Cited: 36
A Review of Machine Learning Techniques in Cyberbullying Detection
Daniyar Sultan, Батырхан Омаров, Zhazira Kozhamkulova, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 3, pp. 5625-5640
Open Access | Times Cited: 31
Cyberbullying Detection in Social Networks: A Comparison Between Machine Learning and Transfer Learning Approaches
Teoh Hwai Teng, Kasturi Dewi Varathan
IEEE Access (2023) Vol. 11, pp. 55533-55560
Open Access | Times Cited: 20
A Proposed Chatbot Framework for COVID-19
Eslam Amer, Ahmed Hazem, Omar Farouk, et al.
(2021), pp. 263-268
Closed Access | Times Cited: 40
Detecting Kids Cyberbullying Using Transfer Learning Approach: Transformer Fine-Tuning Models
Wael M. S. Yafooz, Arafat Al-Dhaqm, Abdullah Alsaeedi
Studies in computational intelligence (2023), pp. 255-267
Closed Access | Times Cited: 13
Children’s Safety on YouTube: A Systematic Review
Saeed Ibrahim Alqahtani, Wael M. S. Yafooz, Abdullah Alsaeedi, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 4044-4044
Open Access | Times Cited: 13
Machine Learning in Cyberbullying Detection from Social-Media Image or Screenshot with Optical Character Recognition
Tofayet Sultan, Nusrat Jahan, Ritu Basak, et al.
International Journal of Intelligent Systems and Applications (2023) Vol. 15, Iss. 2, pp. 1-13
Open Access | Times Cited: 13
Cyberbullying Detection System on Social Media Using Supervised Machine Learning
Andrea Perera, Pumudu Fernando
Procedia Computer Science (2024) Vol. 239, pp. 506-516
Open Access | Times Cited: 5
Leveraging Advanced NLP Techniques and Data Augmentation to Enhance Online Misogyny Detection
Alaa Mohasseb, Eslam Amer, Fatima Chiroma, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 856-856
Open Access
Token and part-of-speech fusion for pretraining of transformers with application in automatic cyberbullying detection
Nor Saiful Azam Bin Nor Azmi, Michał Ptaszyński, Fumito Masui, et al.
Natural Language Processing Journal (2025), pp. 100132-100132
Open Access
Securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying
Rohan Biswas, Kasturi Ganguly, Arijit Das, et al.
Communications in computer and information science (2025), pp. 219-228
Closed Access
Instagram-Based Benchmark Dataset for Cyberbullying Detection in Arabic Text
Reem Bayari, Sherief Abdallah
Data (2022) Vol. 7, Iss. 7, pp. 83-83
Open Access | Times Cited: 19
Unraveling Cyberbullying Dynamis: A Computational Framework Empowered by Artificial Intelligence
Liliana Ibeth Barbosa-Santillán, Bertha Patricia Guzman-Velazquez, M. T. Orozco-Aguilera, et al.
Information (2025) Vol. 16, Iss. 2, pp. 80-80
Open Access
Machine Learning Approach for Diagnosis of Heart Diseases
Manal Makram, Nisreen Ali, Ammar Mohammed
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) (2022), pp. 69-74
Closed Access | Times Cited: 16
An in-depth examination of cyberbullying detection utilizing machine learning techniques
Ajay B. Gadicha, Vijay B. Gadicha, Ahmed J. Obaid, et al.
AIP conference proceedings (2024) Vol. 3207, pp. 060002-060002
Closed Access | Times Cited: 3
Detection of Hate Tweets using Machine Learning and Deep Learning
Lida Ketsbaia, Biju Issac, Xiaohong Chen
2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (2020), pp. 751-758
Open Access | Times Cited: 24
Cyberbullying Detection in Social Networks: Artificial Intelligence Approach
Nureni Ayofe Azeez, Sunday O. Idiakose, Chinazo Juliet Onyema, et al.
Journal of Cyber Security and Mobility (2021)
Open Access | Times Cited: 20
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
A comprehensive review of cyberbullying-related content classification in online social media
Teoh Hwai Teng, Kasturi Dewi Varathan, Fábio Crestani
Expert Systems with Applications (2023) Vol. 244, pp. 122644-122644
Closed Access | Times Cited: 8
Sentiment Analysis-Based Sexual Harassment Detection Using Machine Learning Techniques
Emad Alawneh, Mohammad Al-Fawa’reh, Mousa Tayseer Jafar, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 20
Text Mining Techniques for Cyberbullying Detection: State of the Art
Reem Bayari, Ameur Benséfia
Advances in Science Technology and Engineering Systems Journal (2021) Vol. 6, Iss. 1, pp. 783-790
Open Access | Times Cited: 19
Predicting Risk of Bullying Victimization among Primary and Secondary School Students: Based on a Machine Learning Model
Tian Qiu, S. -R. Wang, Di Hu, et al.
Behavioral Sciences (2024) Vol. 14, Iss. 1, pp. 73-73
Open Access | Times Cited: 2
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