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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:

Automatic cyberbullying detection: A systematic review
Hugo Rosa, Nádia Pereira, Ricardo Ribeiro, et al.
Computers in Human Behavior (2018) Vol. 93, pp. 333-345
Closed Access | Times Cited: 262

Showing 1-25 of 262 citing articles:

Nature-Inspired-Based Approach for Automated Cyberbullying Classification on Multimedia Social Networking
N. Yuvaraj, K. Srihari, Gaurav Dhiman, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 150
Cyberbullying detection solutions based on deep learning architectures
Celestine Iwendi, Gautam Srivastava, Suleman Khan, et al.
Multimedia Systems (2020) Vol. 29, Iss. 3, pp. 1839-1852
Closed Access | Times Cited: 141
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art
Tanjim Mahmud, Michał Ptaszyński, Juuso Eronen, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103454-103454
Open Access | Times Cited: 67
Multilingual Offensive Language Identification with Cross-lingual Embeddings
Tharindu Ranasinghe, Marcos Zampieri
(2020)
Open Access | Times Cited: 135
Cyberbullying: Concepts, theories, and correlates informing evidence-based best practices for prevention
Nadia S. Ansary
Aggression and Violent Behavior (2019) Vol. 50, pp. 101343-101343
Closed Access | Times Cited: 111
Accurate Cyberbullying Detection and Prevention on Social Media
Andrea Perera, Pumudu Fernando
Procedia Computer Science (2021) Vol. 181, pp. 605-611
Open Access | Times Cited: 100
Cyberbullying detection: Utilizing social media features
Alican Bozyiğit, Semih Utku, Efendi Nasıbov
Expert Systems with Applications (2021) Vol. 179, pp. 115001-115001
Closed Access | Times Cited: 90
Cyberbullying severity detection: A machine learning approach
Bandeh Ali Talpur, Declan O’Sullivan
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0240924-e0240924
Open Access | Times Cited: 76
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection
Jason Wang, Kaiqun Fu, Chang‐Tien Lu
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 1699-1708
Closed Access | Times Cited: 73
Early detection of cyberbullying on social media networks
Manuel López-Vizcaíno, Francisco J. Nóvoa, Víctor Carneiro, et al.
Future Generation Computer Systems (2021) Vol. 118, pp. 219-229
Open Access | Times Cited: 62
Arabic Offensive and Hate Speech Detection Using a Cross-Corpora Multi-Task Learning Model
Wassen Aldjanabi, Abdelghani Dahou, Mohammed A. A. Al‐qaness, et al.
Informatics (2021) Vol. 8, Iss. 4, pp. 69-69
Open Access | Times Cited: 62
A Bi-GRU with attention and CapsNet hybrid model for cyberbullying detection on social media
Akshi Kumar, Nitin Sachdeva
World Wide Web (2021) Vol. 25, Iss. 4, pp. 1537-1550
Closed Access | Times Cited: 58
Multilingual Offensive Language Identification for Low-resource Languages
Tharindu Ranasinghe, Marcos Zampieri
ACM Transactions on Asian and Low-Resource Language Information Processing (2021) Vol. 21, Iss. 1, pp. 1-13
Open Access | Times Cited: 58
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
A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes
Krishanu Maity, Prince Jha, Sriparna Saha, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)
Closed Access | Times Cited: 44
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go
Arnav Arora, Preslav Nakov, Momchil Hardalov, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 3, pp. 1-17
Open Access | Times Cited: 30
Session-based cyberbullying detection in social media: A survey
Peiling Yi, Arkaitz Zubiaga
Online Social Networks and Media (2023) Vol. 36, pp. 100250-100250
Open Access | Times Cited: 29
A Review on Deep-Learning-Based Cyberbullying Detection
Md. Tarek Hasan, Md. Al Emran Hossain, Md. Saddam Hossain Mukta, et al.
Future Internet (2023) Vol. 15, Iss. 5, pp. 179-179
Open Access | Times Cited: 28
The effect of rebalancing techniques on the classification performance in cyberbullying datasets
Marwa Khairy, Tarek M. Mahmoud, Tarek Abd El‐Hafeez
Neural Computing and Applications (2023) Vol. 36, Iss. 3, pp. 1049-1065
Open Access | Times Cited: 24
A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media
Munif Alotaibi, Bandar Alotaibi, Abdul Razaque
Electronics (2021) Vol. 10, Iss. 21, pp. 2664-2664
Open Access | Times Cited: 52
When the Timeline Meets the Pipeline: A Survey on Automated Cyberbullying Detection
Fatma Elsafoury, Stamos Katsigiannis, Zeeshan Pervez, et al.
IEEE Access (2021) Vol. 9, pp. 103541-103563
Open Access | Times Cited: 51
Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism
Yong Fang, Shaoshuai Yang, Bin Zhao, et al.
Information (2021) Vol. 12, Iss. 4, pp. 171-171
Open Access | Times Cited: 49
MUDES: Multilingual Detection of Offensive Spans
Tharindu Ranasinghe, Marcos Zampieri
(2021), pp. 144-152
Open Access | Times Cited: 42
Detecting and Understanding Harmful Memes: A Survey
Shivam Sharma, Firoj Alam, Md Shad Akhtar, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 5597-5606
Open Access | Times Cited: 35
Overview of the HASOC Subtrack at FIRE 2022: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages
Shrey Satapara, Prasenjit Majumder, Thomas Mandl, et al.
(2022), pp. 4-7
Open Access | Times Cited: 32
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