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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 82 citing articles:

BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
(2020)
Open Access | Times Cited: 664
SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee, Els Lefever, Véronique Hoste
(2018)
Open Access | Times Cited: 281
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
Yitao Cai, Huiyu Cai, Xiaojun Wan
(2019)
Open Access | Times Cited: 230
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
Machine Learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection
Zheng Lin Chia, Michał Ptaszyński, Fumito Masui, et al.
Information Processing & Management (2021) Vol. 58, Iss. 4, pp. 102600-102600
Open Access | Times Cited: 79
iSarcasm: A Dataset of Intended Sarcasm
Silviu Oprea, Walid Magdy
(2020), pp. 1279-1289
Open Access | Times Cited: 72
Deep Learning in Sentiment Analysis: Recent Architectures
Tariq Abdullah, Ahmed Ahmet
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-37
Closed Access | Times Cited: 44
A transformer-based approach to irony and sarcasm detection
Rolandos Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis
Neural Computing and Applications (2020) Vol. 32, Iss. 23, pp. 17309-17320
Open Access | Times Cited: 67
Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter
José Ángel González, Lluís-F. Hurtado, Ferran Plà
Information Processing & Management (2020) Vol. 57, Iss. 4, pp. 102262-102262
Closed Access | Times Cited: 61
Incorporating Emoji Descriptions Improves Tweet Classification
Abhishek Singh, Eduardo Blanco, Wei Jin
(2019)
Open Access | Times Cited: 60
Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony
Olha Kaminska, Chris Cornelis, Véronique Hoste
Information Sciences (2023) Vol. 625, pp. 521-535
Open Access | Times Cited: 13
HIAN: A hybrid interactive attention network for multimodal sarcasm detection
Yongtang Bao, Xin Zhao, Peng Zhang, et al.
Pattern Recognition (2025), pp. 111535-111535
Closed Access
Mimicking the Brain’s Cognition of Sarcasm From Multidisciplines for Twitter Sarcasm Detection
Fanglong Yao, Xian Sun, Hongfeng Yu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 1, pp. 228-242
Closed Access | Times Cited: 27
TCIP: Network with topology capture and incongruity perception for sarcasm detection
Ling Gao, Nan Sheng, Yiming Liu, et al.
Information Fusion (2025) Vol. 117, pp. 102918-102918
Closed Access
Multi-modal Sarcasm Detection on Social Media via Multi-Granularity Information Fusion
Lisong Ou, Zhixin Li
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access
LADCCL Model for Chinese Text Irony Detection
XiaoFan Qi
Lecture notes in electrical engineering (2025), pp. 254-270
Closed Access
A multi-modal sarcasm detection model based on cue learning
Ming Lu, Zhiqiang Dong, Ziming Guo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Augmenting Emotion Features in Irony Detection with Large Language Modeling
Yu‐Cheng Lin, Yuhan Xia, Yunfei Long
Lecture notes in computer science (2025), pp. 196-206
Closed Access
BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 31
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm
Usman Naseem, Imran Razzak, Peter Eklund, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-7
Open Access | Times Cited: 30
A Multi-Dimension Question Answering Network for Sarcasm Detection
Yufeng Diao, Hongfei Lin, Liang Yang, et al.
IEEE Access (2020) Vol. 8, pp. 135152-135161
Open Access | Times Cited: 28
A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models
Huiyuan Lai, Malvina Nissim
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-34
Open Access | Times Cited: 3
Modeling Multi-Task Joint Training of Aggregate Networks for Multi-Modal Sarcasm Detection
Lisong Ou, Zhixin Li
(2024) Vol. 1, pp. 833-841
Open Access | Times Cited: 3
Transformer-Based Word Embedding With CNN Model to Detect Sarcasm and Irony
Ravinder Ahuja, Sachin Sharma
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 8, pp. 9379-9392
Closed Access | Times Cited: 23
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Xu Guo, Boyang Li, Han Yu, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 19
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