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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.

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Showing 1-25 of 58 citing articles:

SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
Valerio Basile, Cristina Bosco, Elisabetta Fersini, et al.
(2019)
Open Access | Times Cited: 816
Internet, social media and online hate speech. Systematic review
Sergio Andrés Castaño-Pulgarín, Natalia Suárez-Betancur, Luz Magnolia Tilano Vega, et al.
Aggression and Violent Behavior (2021) Vol. 58, pp. 101608-101608
Closed Access | Times Cited: 213
Vulnerable community identification using hate speech detection on social media
Zewdie Mossie, Jenq‐Haur Wang
Information Processing & Management (2019) Vol. 57, Iss. 3, pp. 102087-102087
Closed Access | Times Cited: 157
A deep learning model for Twitter spam detection
Zulfikar Alom, Barbara Carminati, Elena Ferrari
Online Social Networks and Media (2020) Vol. 18, pp. 100079-100079
Closed Access | Times Cited: 89
Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach
Jan Kocoń, Alicja Figas, Marcin Gruza, et al.
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102643-102643
Open Access | Times Cited: 82
Multi-label Arabic text classification in Online Social Networks
Ahmed Omar, Tarek M. Mahmoud, Tarek Abd El‐Hafeez, et al.
Information Systems (2021) Vol. 100, pp. 101785-101785
Closed Access | Times Cited: 71
A probabilistic clustering model for hate speech classification in twitter
Femi Emmanuel Ayo, Olusegun Folorunso, Friday Thomas Ibharalu, et al.
Expert Systems with Applications (2021) Vol. 173, pp. 114762-114762
Closed Access | Times Cited: 56
How can we manage Offensive Text in Social Media - A Text Classification Approach using LSTM-BOOST
Md. Anwar Hussen Wadud, Md. Mohsin Kabir, M. F. Mridha, et al.
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100095-100095
Open Access | Times Cited: 53
Studying Generalisability across Abusive Language Detection Datasets
Steve Durairaj Swamy, Anupam Jamatia, Björn Gambäck
(2019)
Open Access | Times Cited: 71
Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
Omar Sharif, Mohammed Moshiul Hoque
Neurocomputing (2021) Vol. 490, pp. 462-481
Closed Access | Times Cited: 52
Hate speech detection is not as easy as you may think: A closer look at model validation (extended version)
Aymé Arango, Jorge Eduardo Pérez Pérez, Bárbara Poblete
Information Systems (2020) Vol. 105, pp. 101584-101584
Closed Access | Times Cited: 50
Defining and detecting toxicity on social media: context and knowledge are key
Amit Sheth, Valerie L. Shalin, Ugur Kursuncu
Neurocomputing (2021) Vol. 490, pp. 312-318
Open Access | Times Cited: 45
Combining FastText and Glove Word Embedding for Offensive and Hate speech Text Detection
Nabil Badri, Férihane Kboubi, Anja Habacha Chaïbi
Procedia Computer Science (2022) Vol. 207, pp. 769-778
Open Access | Times Cited: 35
SocialHaterBERT: A dichotomous approach for automatically detecting hate speech on Twitter through textual analysis and user profiles
Gloria del Valle-Cano, Lara Quijano-Sánchez, Federico Liberatore, et al.
Expert Systems with Applications (2022) Vol. 216, pp. 119446-119446
Open Access | Times Cited: 32
BERT-based Approach to Arabic Hate Speech and Offensive Language Detection in Twitter: Exploiting Emojis and Sentiment Analysis
Maha Althobaiti
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 5
Open Access | Times Cited: 31
Neural Character-based Composition Models for Abuse Detection
Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
(2018), pp. 1-10
Open Access | Times Cited: 57
Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity
Samuel Carton, Qiaozhu Mei, Paul Resnick
Proceedings of the International AAAI Conference on Web and Social Media (2020) Vol. 14, pp. 95-106
Open Access | Times Cited: 49
Towards countering hate speech against journalists on social media
Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, et al.
Online Social Networks and Media (2020) Vol. 17, pp. 100071-100071
Open Access | Times Cited: 40
A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions
Mahmoud Mohamed Abdelsamie, Shahira Shaaban Azab, Hesham A. Hefny
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 5
Sequential targeting: A continual learning approach for data imbalance in text classification
Joel Jang, Yoonjeon Kim, Kyoung-Ho Choi, et al.
Expert Systems with Applications (2021) Vol. 179, pp. 115067-115067
Closed Access | Times Cited: 27
Hidden behind the obvious: Misleading keywords and implicitly abusive language on social media
Wenjie Yin, Arkaitz Zubiaga
Online Social Networks and Media (2022) Vol. 30, pp. 100210-100210
Open Access | Times Cited: 22
Label modification and bootstrapping for zero-shot cross-lingual hate speech detection
Irina Bigoulaeva, Viktor Hangya, Iryna Gurevych, et al.
Language Resources and Evaluation (2023) Vol. 57, Iss. 4, pp. 1515-1546
Open Access | Times Cited: 11
FALCoN: Detecting and classifying abusive language in social networks using context features and unlabeled data
Suppawong Tuarob, Manisa Satravisut, Pochara Sangtunchai, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103381-103381
Closed Access | Times Cited: 11
See the words through my eyes: The role of personal traits in abusive language detection
Tsungcheng Yao, Sebastian Binnewies, Ernest Foo, et al.
Expert Systems with Applications (2025), pp. 127188-127188
Closed Access
Integrating implicit and explicit linguistic phenomena via multi-task learning for offensive language detection
Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, Luís Alfonso Ureña López, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 109965-109965
Closed Access | Times Cited: 18
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