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:

Automated cyberbullying detection using clustering appearance patterns
Walisa Romsaiyud, Kodchakorn Na Nakornphanom, Pimpaka Prasertsilp, et al.
(2017), pp. 242-247
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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

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

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

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

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

Cyberbullying Detection Through Sentiment Analysis
Jalal Omer Atoum
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2020), pp. 292-297
Closed Access | Times Cited: 25

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

Detecting Cyberbullying from Tweets Through Machine Learning Techniques with Sentiment Analysis
Jalal Omer Atoum
Lecture notes in networks and systems (2023), pp. 25-38
Closed Access | Times Cited: 7

A Review of Automated Detection Methods for Cyberbullying
Thabo Mahlangu, Chunling Tu, Pius Adewale Owolawi
2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) (2018), pp. 1-5
Closed Access | Times Cited: 19

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

Detecting Cyberbullying using Machine Learning Approaches
Adnan Haider, Abu Bakar Siddique, Raja Hashim Ali, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4

Bullying Hurts
Nadine Farag, Samir Abou El-Seoud, Gerard McKee, et al.
(2019)
Closed Access | Times Cited: 8

A Detailed Survey On Cyberbullying in Social Networks
V. R. Krithika, V. Priya
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (2020), pp. 1-10
Closed Access | Times Cited: 6

A Review on Non-Supervised Approaches for Cyberbullying Detection
Samir Abou El-Seoud, Nadine Farag, Gerard McKee
International Journal of Engineering Pedagogy (iJEP) (2020) Vol. 10, Iss. 4, pp. 25-25
Open Access | Times Cited: 6

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

Food trend based on social media for big data analysis using K-mean clustering and SAW: A case study on yogyakarta culinary industry
Mihuandayani, Herda D. Ramandita, Arief Setyanto, et al.
2018 International Conference on Information and Communications Technology (ICOIACT) (2018), pp. 549-554
Closed Access | Times Cited: 4

Transformer learning-based neural network algorithms for identification and detection of electronic bullying in social media
Fawaz Waselallah Alsaade, Mohammed S. Al-zahrani
Demonstratio Mathematica (2024) Vol. 57, Iss. 1
Open Access

Enhancing Cyberbullying Detection: A Multi-Algorithmic Approach
Naga Prem Sai Pendela, Karyamsetty Angela Janet, Anurag Yadav, et al.
(2024), pp. 1-5
Closed Access

Cyberbully Detection by Using Machine Learning
Norazlinda Tamring, Lai Po Hung
Lecture notes in electrical engineering (2024), pp. 725-742
Closed Access

Detection of Cyberbullying on Social Media
Neha Hudda, Akanksha Mishra, Sunil Kumar
International Journal of Computer Applications (2023) Vol. 185, Iss. 4, pp. 43-47
Open Access | Times Cited: 1

An Improved Detection of Cyberbullying on Social Media Using Randomized Sampling
Nitasha Dhingra, S.P. Chawla, Oshin Saini, et al.
International Journal of Bullying Prevention (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

Social Media Cyberbullying Detection on Political Violence from Bangla Texts Using Machine Learning Algorithm
Md. Tofael Ahmed, Almas Hossain Antar, Maqsudur Rahman, et al.
Journal of Intelligent Learning Systems and Applications (2023) Vol. 15, Iss. 04, pp. 108-122
Open Access | Times Cited: 1

A Survey of Cyberbullying Detection and Performance: Its Impact in Social Media Using Artificial Intelligence
Khateeja Ambareen, S. Meenakshi Sundaram
SN Computer Science (2023) Vol. 4, Iss. 6
Closed Access | Times Cited: 1

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