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:

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

Showing 26-50 of 82 citing articles:

The Role of Preprocessing for Word Representation Learning in Affective Tasks
Nastaran Babanejad, Heidar Davoudi, Ameeta Agrawal, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 1, pp. 254-272
Closed Access | Times Cited: 8

Mu2STS: A Multitask Multimodal Sarcasm-Humor-Differential Teacher-Student Model for Sarcastic Meme Detection
Gitanjali Kumari, Chandranath Adak, Asif Ekbal
Lecture notes in computer science (2024), pp. 19-37
Closed Access | Times Cited: 2

A theory-informed deep learning approach to extracting and characterizing substance use-related stigma in social media
David Roesler, Shana Johnny, Mike Conway, et al.
BMC Digital Health (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 2

Jointly Learning Sentimental Clues and Context Incongruity for Sarcasm Detection
Wangqun Chen, Fuqiang Lin, Xuan Zhang, et al.
IEEE Access (2022) Vol. 10, pp. 48292-48300
Open Access | Times Cited: 12

Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection
Zhiyuan Wen, Rui Wang, Xuan Luo, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 12, pp. 4119-4134
Closed Access | Times Cited: 6

Multi-modal Sarcasm Detection Based on Contrastive Attention Mechanism
Xiaoqiang Zhang, Ying Chen, Guangyuan Li
Lecture notes in computer science (2021), pp. 822-833
Closed Access | Times Cited: 14

The limitations of irony detection in Dutch social media
Aaron Maladry, Els Lefever, Cynthia Van Hee, et al.
Language Resources and Evaluation (2023) Vol. 58, Iss. 4, pp. 1355-1386
Open Access | Times Cited: 5

Automatic Algerian Sarcasm Detection from Texts and Images
Kheira Zineb Bousmaha, Khaoula Hamadouche, Hadjer Djouabi, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2024) Vol. 23, Iss. 7, pp. 1-25
Open Access | Times Cited: 1

Exploring T5 and RGAN for Enhanced Sarcasm Generation in NLP
Purnima Tummala, C. K. Rao
IEEE Access (2024) Vol. 12, pp. 88642-88657
Open Access | Times Cited: 1

Multifaceted and deep semantic alignment network for multimodal sarcasm detection
Bengong Yu, Haoyu Wang, Zhonghao Xi
Knowledge-Based Systems (2024) Vol. 301, pp. 112298-112298
Closed Access | Times Cited: 1

An advanced learning approach for detecting sarcasm in social media posts: Theory and solutions
Pradeep Kumar Roy
Social Science Quarterly (2024)
Closed Access | Times Cited: 1

Multi-Modal Sarcasm Detection via Graph Convolutional Network and Dynamic Network
Jiaqi Hao, Junfeng Zhao, Zhi-Gang Wang
(2024) Vol. 1, pp. 789-798
Closed Access | Times Cited: 1

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

Comprehensive Study of Arabic Satirical Article Classification
Fatmah Yousef Assiri, Hanen Himdi
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10616-10616
Open Access | Times Cited: 3

Enhanced Semantic Representation Learning for Sarcasm Detection by Integrating Context-Aware Attention and Fusion Network
Shufeng Hao, Jikun Yao, Chongyang Shi, et al.
Entropy (2023) Vol. 25, Iss. 6, pp. 878-878
Open Access | Times Cited: 3

Prompt Tuning with Contradictory Intentions for Sarcasm Recognition
Yiyi Liu, Ruqing Zhang, Yixing Fan, et al.
(2023), pp. 328-339
Open Access | Times Cited: 3

Affection Enhanced Relational Graph Attention Network for Sarcasm Detection
Guowei Li, Fuqiang Lin, Wangqun Chen, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3639-3639
Open Access | Times Cited: 5

Multimodal sentiment analysis based on multi-head self-attention and convolutional block attention module
Feng Geng, Hai Yang, Changde Wu, et al.
2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) (2022), pp. 262-266
Closed Access | Times Cited: 5

Sarcasm Detection Using Deep Learning Approaches: A Review
Spriha Sinha, Monika Choudhary
International Journal of Recent Technology and Engineering (IJRTE) (2023) Vol. 11, Iss. 6, pp. 50-58
Open Access | Times Cited: 2

Sarcasm Detection of Textual Data on Online SocialMedia: A Review
Aruna Bhat, Govind Narayan Jha
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022), pp. 1981-1985
Closed Access | Times Cited: 4

NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning
Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022), pp. 862-870
Open Access | Times Cited: 3

GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification
Diksha Krishnan, Jerin Mahibha C, D. Thenmozhi
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022), pp. 827-833
Open Access | Times Cited: 3

Sarcasm Detection in Twitter - Performance Impact While Using Data Augmentation: Word Embeddings
Alif Tri Handoyo, Hidayatur rahman, Criscentia Jessica Setiadi, et al.
International Journal of Fuzzy Logic and Intelligent Systems (2022) Vol. 22, Iss. 4, pp. 401-413
Open Access | Times Cited: 3

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