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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:

“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text
Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.
(2019)
Closed Access | Times Cited: 23

Showing 23 citing articles:

Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani, Jay Pujara, Filip Ilievski, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021), pp. 644-656
Open Access | Times Cited: 67
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
CAT-BiGRU: Convolution and Attention with Bi-Directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection
Ashraf Kamal, Muhammad Abulaish
Cognitive Computation (2021) Vol. 14, Iss. 1, pp. 91-109
Closed Access | Times Cited: 36
Detect Sarcasm and Humor Jointly by Neural Multi-Task Learning
Yufeng Diao, Liang Yang, Shiqi Li, et al.
IEEE Access (2024) Vol. 12, pp. 38071-38080
Open Access | Times Cited: 5
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
Injecting the score of the first-stage retriever as text improves BERT-based re-rankers
Arian Askari, Amin Abolghasemi, Gabriella Pasi, et al.
Deleted Journal (2024) Vol. 27, Iss. 1
Open Access | Times Cited: 1
CANs: Coupled-Attention Networks for Sarcasm Detection on Social Media
Xuan Zhao, Jimmy Xiangji Huang, Haitian Yang
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Closed Access | Times Cited: 9
Proceedings of the Third Workshop on Multimodal Artificial Intelligence

(2021)
Open Access | Times Cited: 8
Multi-Task Deep Neural Networks for Joint Sarcasm Detection and Sentiment Analysis
Chunyan Yin, Yongheng Chen, Wanli Zuo
Pattern Recognition and Image Analysis (2021) Vol. 31, Iss. 1, pp. 103-108
Closed Access | Times Cited: 7
Tracing Humor in Edited News Headlines
Dan Alexandru, Daniela Gîfu
Smart innovation, systems and technologies (2020), pp. 187-196
Closed Access | Times Cited: 6
Sarcasm Detection on Social Networks using Machine Learning Algorithms: A Systematic Review
Ranganath Kanakam, Rudra Kalyan Nayak
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2021), pp. 1130-1137
Closed Access | Times Cited: 5
Natural Language Processing Meets Deep Learning
Pushpak Bhattacharyya
(2023), pp. 199-214
Closed Access | Times Cited: 1
Sarcasm Detection in Hindi-English Code-Mixed Tweets Using Machine Learning Algorithms
Kanhaiyya Khandagale, Hetal Gandhi
Smart innovation, systems and technologies (2022), pp. 221-229
Closed Access | Times Cited: 2
Sarcasm Detection with External Entity Information
Xu Xufei, Kazutaka Shimada
EPiC series in computing (2022) Vol. 81, pp. 121-109
Open Access | Times Cited: 2
Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani, Jay Pujara, Pedro Szekely, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
¡Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
Khalid Alnajjar, Mika Hämäläinen
(2021), pp. 63-68
Open Access | Times Cited: 2
Socio monitoring framework (SMF): Efficient sentiment analysis through informal and native terms
Javed et al.
International Journal of ADVANCED AND APPLIED SCIENCES (2020) Vol. 7, Iss. 12, pp. 113-126
Open Access | Times Cited: 1
Comparison of Artificial Decision Techniques for Detection of Sarcastic News Headlines
Tarun Jain, Horesh Kumar, Payal Garg, et al.
International Journal of Cyber Behavior Psychology and Learning (2023) Vol. 13, Iss. 1, pp. 1-12
Open Access
Proceedings of the 1st Workshop on Mathematical Natural Language Processing (MathNLP)
Deborah Ferreira, Marco Valentino, Somak Aditya, et al.
(2022)
Open Access
Numerical Correlation in Text
Daniel Spokoyny, Chien-Sheng Wu, Caiming Xiong
(2022), pp. 33-39
Open Access
!Qu\'e maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
Khalid Alnajjar, Mika Hämäläinen
arXiv (Cornell University) (2021)
Closed Access
Consolidating Pattern-Based Approach for Detecting Sarcasm in Numerical Portions of the Text
C. Sindhu, Isukapalli Sainath Reddy, Settipalle C Sai Pavan Kumar Reddy
(2021), pp. 230-234
Closed Access
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