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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:

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

Showing 1-25 of 36 citing articles:

Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
Hui Liu, Wenya Wang, Haoliang Li
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 45
Cross-modal incongruity aligning and collaborating for multi-modal sarcasm detection
Jie Wang, Yan Yang, Yongquan Jiang, et al.
Information Fusion (2023) Vol. 103, pp. 102132-102132
Closed Access | Times Cited: 17
A survey of automatic sarcasm detection: Fundamental theories, formulation, datasets, detection methods, and opportunities
Wangqun Chen, Fuqiang Lin, Guowei Li, et al.
Neurocomputing (2024) Vol. 578, pp. 127428-127428
Closed Access | Times Cited: 6
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
Modeling inter-modal incongruous sentiment expressions for multi-modal sarcasm detection
Lisong Ou, Zhixin Li
Neurocomputing (2024), pp. 128874-128874
Closed Access | Times Cited: 5
From Humor to Irony: A Transformer-Based Multi-Class Sarcasm Detection Framework
Ramakrishna Bodige, Ramesh babu Akarapu, Pramod kumar Poladi, et al.
(2025)
Closed Access
Multi-Modal Sarcasm Detection with Sentiment Word Embedding
Hao Fu, Hao Liu, Hongling Wang, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 855-855
Open Access | Times Cited: 4
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection
Xiaobao Wang, Yiqi Dong, Di Jin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4702-4710
Open Access | Times Cited: 9
Trusted commonsense knowledge enhanced depression detection based on three-way decision
Jie Chen, Hui Yao, Zhao Shu, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125671-125671
Closed Access | Times Cited: 3
Sarcasm Detection Base on Adaptive Incongruity Extraction Network and Incongruity Cross-Attention
Yuanlin He, Mingju Chen, Yingying He, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2102-2102
Open Access | Times Cited: 6
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection
Zhe Yu, Di Jin, Xiaobao Wang, et al.
(2023), pp. 2423-2431
Open Access | Times Cited: 6
Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction
Changrong Min, Ximing Li, Liang Yang, et al.
(2023), pp. 10172-10183
Open Access | Times Cited: 5
A Comparative Analysis on Sarcasm Detection
Arghya Bhattacharjee, Ajey Kumar, Dhanya Promod
(2023), pp. 436-441
Closed Access | Times Cited: 5
Leveraging sensory knowledge into Text-to-Text Transfer Transformer for enhanced emotion analysis
Qingqing Zhao, Yuhan Xia, Yunfei Long, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103876-103876
Open Access | Times Cited: 1
A Multi-Level Embedding Framework for Decoding Sarcasm Using Context, Emotion, and Sentiment Feature
Maryam Khanian Najafabadi, Teddy Ko, Saman Shojae Chaeikar, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4429-4429
Open 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
How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies
Yubo Xie, Pearl Pu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Text-based Sarcasm Detection on Social Networks: A Systematic Review
Amal Alqahtani, Lubna Alhenaki, Abeer Alsheddi
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
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
Leveraging World Knowledge in Implicit Hate Speech Detection
Jessica Lin
(2022), pp. 31-39
Open 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 in Indonesian-English Code-Mixed Text Using Multihead Attention-Based Convolutional and Bi-Directional GRU
Mochamad Alfan Rosid, Daniel Siahaan, Ahmad Saikhu
IEEE Access (2024) Vol. 12, pp. 137063-137079
Open Access
MIAN: Multi-head Incongruity Aware Attention Network with transfer learning for sarcasm detection
Xin Guan, Jiuxin Cao, Hui Zhang, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125702-125702
Closed Access
Conceptual commonsense-aware attentive modeling with pre-trained masked language models for humor recognition
Yuta Sasaki, Jianwei Zhang, Yuhki Shiraishi
Natural Language Processing Journal (2024) Vol. 9, pp. 100117-100117
Open Access
On Sarcasm Detection with OpenAI GPT-Based Models
Montgomery Gole, Williams‐Paul Nwadiugwu, Andriy Miranskyy
(2024), pp. 1-6
Open Access
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