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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:

Comparison between Machine Learning and Deep Learning Approaches for the Detection of Toxic Comments on Social Networks
Andrea Bonetti, Marcelino Martı́nez-Sober, Julio C. Torres, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6038-6038
Open Access | Times Cited: 16

Showing 16 citing articles:

Selection and evaluation of a set of attributes appropriate for detection of antisocial behaviour in online media
Kristína Machová, Viliam Balara, Marián Mach, et al.
Multimedia Tools and Applications (2025)
Open Access | Times Cited: 1
Mitigating Class Imbalance in Sentiment Analysis through GPT-3-Generated Synthetic Sentences
Cici Suhaeni, Hwan-Seung Yong
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9766-9766
Open Access | Times Cited: 13
Attitudes towards mental health professionals in social media: infodemiology study
Harriet Battle, Miguel Ángel Alvarez-Mon, Francisco J. Lara-Abelenda, et al.
The British Journal of Psychiatry (2025), pp. 1-6
Closed Access
Beyond Trolling: Fine-Grained Detection of Antisocial Behavior in Social Media During the Pandemic
Andrew Asante, Petr Hájek
Information (2025) Vol. 16, Iss. 3, pp. 173-173
Open Access
Misogynistic attitude detection in YouTube comments and replies: A high-quality dataset and algorithmic models
Aakash Singh, Deepawali Sharma, Vivek Kumar Singh
Computer Speech & Language (2024) Vol. 89, pp. 101682-101682
Closed Access | Times Cited: 3
Assessing Forest Quality through Forest Growth Potential, an Index Based on Improved CatBoost Machine Learning
Lianjun Cao, Xiaobing He, Sheng Chen, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 8888-8888
Open Access | Times Cited: 5
Modified LDA Vector and Feedback Analysis for Short Query Information Retrieval Systems
Pedro Celard, Eva Iglesias, José Manuel Sorribes-Fdez, et al.
Logic Journal of IGPL (2024)
Open Access | Times Cited: 1
Combating Online Malicious Behavior: Integrating Machine Learning and Deep Learning Methods for Harmful News and Toxic Comments
Szu‐Yin Lin, Shih‐Yi Chien, Yi-Zhen Chen, et al.
Information Systems Frontiers (2024)
Closed Access | Times Cited: 1
How Could Consumers’ Online Review Help Improve Product Design Strategy?
Wei Miao, Kai‐Chieh Lin, Chih‐Fu Wu, et al.
Information (2023) Vol. 14, Iss. 8, pp. 434-434
Open Access | Times Cited: 3
Using Triple Modular Redundancy for Threshold Determination in DDOS Intrusion Detection Systems
Aleksa Maksimović, Vojkan Nikolić, Dejan V. Vidojević, et al.
IEEE Access (2024) Vol. 12, pp. 53785-53804
Open Access
Toxic Comments Classification using LSTM and CNN
Sampurna Bhattacharya, Bhavani Gowri Shankar, B. Pitchaimanickam, et al.
(2024), pp. 214-221
Closed Access
A Systematic Review of Toxicity in Large Language Models: Definitions, Datasets, Detectors, Detoxification Methods and Challenges
Guillermo Villate-Castillo, Javier Del Ser, Borja Sanz
Research Square (Research Square) (2024)
Closed Access
Detecting Antisocial Behavior on Social Media During COVID-19 Lockdown
Andrew Asante, Petr Hájek
Lecture notes in networks and systems (2024), pp. 189-200
Closed Access
Sentiment Classification on the 2024 Indonesian Presidential Candidate Dataset Using Deep Learning Approaches
Cici Suhaeni, Hari Wijayanto, Anang Kurnia
Indonesian Journal of Statistics and Its Applications (2024) Vol. 8, Iss. 2, pp. 83-94
Open Access
Multilingual Toxic Comment Classification Using Bidirectional LSTM
Md. Nazmul Abdal, Md. Azizul Haque, Most. Humayera Kabir Oshie, et al.
Lecture notes in electrical engineering (2024), pp. 305-319
Closed Access
Performance Analysis of Comment Toxicity Detection Using Machine Learning
S. J. Suresh, B. Midhun Krishna Yadav, Srishti Kumari, et al.
(2023), pp. 1-6
Closed Access
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