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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:

See No Evil, Hear No Evil
Devin Soni, Vivek K. Singh
Proceedings of the ACM on Human-Computer Interaction (2018) Vol. 2, Iss. CSCW, pp. 1-26
Open Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

CyberSaver – A Machine Learning Approach to Detection of Cyber Bullying
Hii Lee Jia, Vazeerudeen Abdul Hameed, Muhammad Ehsan Rana
2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM) (2022), pp. 1-5
Closed Access | Times Cited: 7
Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media
Nuha Albadi, Maram Kurdi, Shivakant Mishra
arXiv (Cornell University) (2019)
Open Access | Times Cited: 9
Dynamic, Incremental, and Continuous Detection of Cyberbullying in Online Social Media
Charalampos Chelmis, Daphney–Stavroula Zois
ACM Transactions on the Web (2021) Vol. 15, Iss. 3, pp. 1-33
Closed Access | Times Cited: 8
Audio-Based Hate Speech Classification from Online Short-Form Videos
Michael Ibanez, Ranz Sapinit, Lloyd Antonie Reyes, et al.
(2021), pp. 72-77
Closed Access | Times Cited: 8
Reduced-Bias Co-trained Ensembles for Weakly Supervised Cyberbullying Detection
Elaheh Raisi, Bert Huang
Lecture notes in computer science (2019), pp. 293-306
Closed Access | Times Cited: 6
Cyberbullying Detection using Ensemble Method
K P Saranyanath, Wei Shi, Jean‐Pierre Corriveau
(2022), pp. 75-94
Open Access | Times Cited: 4
Data Science and Machine Learning

(2022)
Open Access | Times Cited: 4
A Fairness-Aware Fusion Framework for Multimodal Cyberbullying Detection
Jamal Alasadi, Ramanathan Arunachalam, Pradeep K. Atrey, et al.
(2020), pp. 166-173
Closed Access | Times Cited: 5
A Survey on Multimodal Disinformation Detection
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
“Think before you upload”: an in-depth analysis of unavailable videos on YouTube
Maram Kurdi, Nuha Albadi, Shivakant Mishra
Social Network Analysis and Mining (2021) Vol. 11, Iss. 1
Closed Access | Times Cited: 5
Linguistic Harassment Against Arab LGBTs on Cyberspace
Khalid Hudhayri
International Journal of English Linguistics (2021) Vol. 11, Iss. 4, pp. 58-58
Open Access | Times Cited: 5
Detection and Prevention of Bullying on Online Social Networks: The Combination of Textual, Visual and Cognitive
Carlos Silva, Ricardo Santos, Ricardo Barbosa
Intelligent Technologies for Interactive Entertainment (2019), pp. 95-104
Closed Access | Times Cited: 4
Weakly Supervised Machine Learning for Cyberbullying Detection
Elaheh Raisi
(2019)
Closed Access | Times Cited: 4
Identifying Differentiating Factors for Cyberbullying in Vine and Instagram
Rahat Ibn Rafiq, Homa Hosseinmardi, Richard Han, et al.
Communications in computer and information science (2021), pp. 348-361
Closed Access | Times Cited: 4
“I know you are, but what am I?” Profiling cyberbullying based on charged language
Shuyuan Mary Ho, Wenyi Li
Computational and Mathematical Organization Theory (2022) Vol. 28, Iss. 4, pp. 293-320
Closed Access | Times Cited: 3
An Efficient Approach to Deal with Cyber Bullying using Machine Learning: A Systematic Review
Naveen Kumar, D Vishwachetan, Mushtaq Ahmed D M, et al.
(2024), pp. 1-8
Closed Access
Participatory Design to Address Disclosure-Based Cyberbullying
Sadiq Aliyu, Sushmita Khan, Aminata N. Mbodj, et al.
Designing Interactive Systems Conference (2024), pp. 1547-1565
Closed Access
A Multimodal Correlation and Interaction-based Method for Cyberbullying Detection
Lin Zhu, Xiaoyu Sean Lu, Rui Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 29, pp. 1-8
Closed Access
“Video Unavailable”: Analysis and Prediction of Deleted and Moderated YouTube Videos
Maram Kurdi, Nuha Albadi, Shivakant Mishra
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2020) Vol. 42, pp. 166-173
Closed Access | Times Cited: 3
Classification of Text, Image and Audio Messages Used for Cyberbulling on Social Medias
Ermira Idrizi, Mentor Hamiti
(2023), pp. 797-802
Closed Access | Times Cited: 1
An Efficient Deep Learning Approach to Deal with Cyberbullying
Naveen Kumar, D M Mushtaq Ahmed, J Prashanth, et al.
(2023), pp. 253-258
Closed Access | Times Cited: 1
Soft computing for abuse detection using cyber‐physical and social big data in cognitive smart cities
Saurabh Raj Sangwan, Mohinder Pal Singh Bhatia
Expert Systems (2021) Vol. 39, Iss. 5
Closed Access | Times Cited: 3
A Survey on Detecting and Preventing Hateful Comments on Social Media Using Deep Learning
I. Karthika, G. Boomika, R. Nisha, et al.
Smart innovation, systems and technologies (2022), pp. 285-298
Closed Access | Times Cited: 2
Communicative Aggression in Online Education
Oxana V. Goncharova, Svetlana A. Khaleeva
Education in the Asia-Pacific region (2022), pp. 79-85
Closed Access | Times Cited: 1
Cyberbullying Prediction As Cyber Counseling Tools With Data Mining Classification
Agus Pamuji, Heri Satria Setiawan
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) (2022) Vol. 19, Iss. 1, pp. 29-29
Open Access | Times Cited: 1

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