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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 49 citing articles:

State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 39
Examining Toxicity’s Impact on Reddit Conversations
Niloofar Yousefi, Nahiyan Bin Noor, Billy Spann, et al.
Studies in computational intelligence (2024), pp. 401-411
Closed Access | Times Cited: 10
The Structure of Toxic Conversations on Twitter
Martin Saveski, Brandon Roy, Deb Roy
(2021), pp. 1086-1097
Open Access | Times Cited: 54
Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion
Dimitri Ognibene, Rodrigo Wilkens, Davide Taibi, et al.
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 19
Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop
Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil
(2019), pp. 4742-4753
Open Access | Times Cited: 50
Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think!
Jack Hessel, Lillian Lee
(2020)
Open Access | Times Cited: 43
SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems
Emily Dinan, Gavin Abercrombie, A. Bergman, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 28
Characterizing engagement dynamics across topics on Facebook
Gabriele Etta, Emanuele Sangiorgio, Niccolò Di Marco, et al.
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0286150-e0286150
Open Access | Times Cited: 11
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset
Haiyang Wang, Ye Wang, Xin Song, et al.
World Wide Web (2023) Vol. 26, Iss. 5, pp. 3607-3632
Closed Access | Times Cited: 11
Automatic Controversy Detection Based on Heterogeneous Signed Attributed Network and Deep Dual-Layer Self-Supervised Community Analysis
Ying Li, Xiao Zhang, Liang Yu, et al.
Entropy (2025) Vol. 27, Iss. 5, pp. 473-473
Open Access
How effective is BERT without word ordering? Implications for language understanding and data privacy
Jack Hessel, Alexandra Schofield
(2021), pp. 204-211
Open Access | Times Cited: 26
Anonymous Dissent in the Digital Age: A YouTube Dislikes Dataset
Sujan Dutta, Mallikarjuna Tupakula, Sumeet Kumar, et al.
Lecture notes in computer science (2025), pp. 89-99
Closed Access
Exploring Antecedents and Consequences of Toxicity in Online Discussions
Yan Xia, Haiyi Zhu, Tun Lu, et al.
Proceedings of the ACM on Human-Computer Interaction (2020) Vol. 4, Iss. CSCW2, pp. 1-23
Closed Access | Times Cited: 27
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection
Lei Zhong, Juan Cao, Qiang Sheng, et al.
(2020)
Open Access | Times Cited: 21
A text and GNN based controversy detection method on social media
Samy Benslimane, Jérôme Azé, Sandra Bringay, et al.
World Wide Web (2022) Vol. 26, Iss. 2, pp. 799-825
Closed Access | Times Cited: 11
Conversational Resilience: Quantifying and Predicting Conversational Outcomes Following Adverse Events
Charlotte Lambert, Ananya Rajagopal, Eshwar Chandrasekharan
Proceedings of the International AAAI Conference on Web and Social Media (2022) Vol. 16, pp. 548-559
Open Access | Times Cited: 11
Linguistic Characterization of Divisive Topics Online: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control
Jacob Beel, Tong Xiang, Sandeep Soni, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2022) Vol. 16, pp. 32-42
Open Access | Times Cited: 11
Predicting continuity of online conversations on Reddit
Jinhyeon Kim, Jinyoung Han, Daejin Choi
Telematics and Informatics (2023) Vol. 79, pp. 101965-101965
Closed Access | Times Cited: 5
A Visual Approach to Tracking Emotional Sentiment Dynamics in Social Network Commentaries
Ismail Hossain, Sai Puppala, Md. Jahangir Alam, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling.
Emily Dinan, Gavin Abercrombie, A. Stevie Bergman, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 10
Detecting Community Sensitive Norm Violations in Online Conversations
Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, et al.
(2021), pp. 3386-3397
Open Access | Times Cited: 10
Modeling Global and Local Interactions for Online Conversation Recommendation
Xingshan Zeng, Jing Li, Lingzhi Wang, et al.
ACM transactions on office information systems (2021) Vol. 40, Iss. 3, pp. 1-33
Open Access | Times Cited: 10
Analysis and Prediction of Multilingual Controversy on Reddit
Philipp Koncar, Simon Walk, Denis Helić
(2021), pp. 215-224
Open Access | Times Cited: 9
Using Social Media Categorical Reactions as a Gateway to Identify Hate Speech in COVID-19 News
Luciana Oliveira, Joana Azevedo
SN Computer Science (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 6
Rumors Detection Based on Lifelong Machine Learning
Xiaoxia He, Gulanbaier Tuerhong, Mairidan Wushouer, et al.
IEEE Access (2022) Vol. 10, pp. 25605-25620
Open Access | Times Cited: 6
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