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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:

A Report on the 2020 Sarcasm Detection Shared Task
Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan
(2020), pp. 1-11
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Affective and Contextual Embedding for Sarcasm Detection
Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 82
CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations
Yazhou Zhang, Yaochen Liu, Qiuchi Li, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 29, Iss. 12, pp. 3696-3710
Open Access | Times Cited: 71
Sarcasm Detection with Commonsense Knowledge
Jiangnan Li, Hongliang Pan, Zheng Lin, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2021) Vol. 29, pp. 3192-3201
Closed Access | Times Cited: 36
Hate Speech and Counter Speech Detection: Conversational Context Does Matter
Xinchen Yu, Eduardo Blanco, Lingzi Hong
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 5918-5930
Open Access | Times Cited: 23
Sarcasm detection framework using context, emotion and sentiment features
Oxana Vitman, Yevhen Kostiuk, Grigori Sidorov, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121068-121068
Open Access | Times Cited: 14
Periodic Insight: Multilingual Reputation Generation System through Daily Opinion Mining Analysis
Achraf Boumhidi, Abdessamad Benlahbib, Erik Cambria, et al.
Results in Engineering (2025), pp. 104619-104619
Open Access
Making Sense of Large Social Media Corpora
Antonio Moreno Ortiz
(2024)
Open Access | Times Cited: 2
Fast Recognition of Some Parametric Graph Families
Nina Klobas, Matjaž Krnc
(2021)
Open Access | Times Cited: 14
Hate Cannot Drive Out Hate: Forecasting Conversation Incivility following Replies to Hate Speech
Xinchen Yu, Eduardo Blanco, Lingzi Hong
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1740-1752
Open Access | Times Cited: 1
Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets
Yuting Guo, Xiangjue Dong, Mohammed Ali Al-Garadi, et al.
(2020), pp. 86-91
Closed Access | Times Cited: 11
Towards Representative Web Performance Measurements with Google Lighthouse
Tjaša Heričko, Boštjan Šumak, Saša Brdnik
(2021)
Open Access | Times Cited: 10
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict
Yiyi Liu, Yequan Wang, Aixin Sun, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022), pp. 1670-1680
Open Access | Times Cited: 7
Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation
Mosab Shaheen, Shubham Nigam
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022)
Open Access | Times Cited: 7
Sarcasm Detection in Arabic Short Text using Deep Learning
Wafa’ Q. Al-Jamal, Ahmad Mustafa, Mostafa Z. Ali
(2022), pp. 362-366
Closed Access | Times Cited: 6
TEDB System Description to a Shared Task on Euphemism Detection 2022
Peratham Wiriyathammabhum
(2022), pp. 1-7
Open Access | Times Cited: 6
Does Commonsense help in detecting Sarcasm?
Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
(2021), pp. 9-15
Open Access | Times Cited: 8
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic
Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022)
Open Access | Times Cited: 5
“Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space
Debanjan Ghosh, Ritvik Shrivastava, Smaranda Muresan
(2021), pp. 1998-2010
Open Access | Times Cited: 6
SocBERT: A Pretrained Model for Social Media Text
Yuting Guo, Abeed Sarker
(2023), pp. 45-52
Open Access | Times Cited: 2
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English
Tanuj Shekhawat, M. Kumar, Udaybhan Rathore, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022), pp. 938-944
Open Access | Times Cited: 4
A Green Pipeline for Out-of-Domain Public Sentiment Analysis
Ming Xie, Jing Jiang, Tao Shen, et al.
Lecture notes in computer science (2022), pp. 190-202
Closed Access | Times Cited: 3
Corpus Annotation and Analysis of Sarcasm in Twitter: #CatsMovie vs. #TheRiseOfSkywalker
Antonio Moreno Ortiz, María García-Gámez
Atlantis Journal of the Spanish Association for Anglo-American Studies (2022) Vol. 44, Iss. 1, pp. 186-207
Open Access | Times Cited: 3
An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification
Sina Mahdipour Saravani, Ritwik Banerjee, Indrakshi Ray
(2021), pp. 103-109
Open Access | Times Cited: 4
Ambiguity and Sarcasm Detection on Social Media Data Using Ensemble Techniques
V Haripriya, Poornima G. Patil
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access
Managing Large Twitter Datasets
Antonio Moreno Ortiz
(2024), pp. 31-58
Open Access
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