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 Dependency Graph for Sarcasm Detection
Chenwei Lou, Bin Liang, Lin Gui, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 1844-1849
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network
Bin Liang, Chenwei Lou, Xiang Li, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 72

MET-Meme: A Multimodal Meme Dataset Rich in Metaphors
Bo Xu, Tingting Li, Junzhe Zheng, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 2887-2899
Closed Access | Times Cited: 28

VIEMF: Multimodal metaphor detection via visual information enhancement with multimodal fusion
Xiaoyu He, Long Yu, Shengwei Tian, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103652-103652
Closed Access | Times Cited: 5

Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection
Bin Liang, Lin Gui, Yulan He, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 4, pp. 1874-1888
Closed Access | Times Cited: 5

SFVE: visual information enhancement metaphor detection with multimodal splitting fusion
Qimeng Yang, Hao Meng, Yu Yan, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access

Multimodal sarcasm detection based on sentiment-clue inconsistency global detection fusion network
Zhonghao Xi, Bengong Yu, Haoyu Wang
Expert Systems with Applications (2025), pp. 127020-127020
Closed Access

Fact-sentiment incongruity combination network for multimodal sarcasm detection
Qiang Lu, Yunfei Long, Xia Sun, et al.
Information Fusion (2023) Vol. 104, pp. 102203-102203
Closed Access | Times Cited: 11

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

Fast, Accurate, and Lightweight Memory-Enhanced Embedding Learning Framework for Image-Text Retrieval
Zhe Li, Lei Zhang, Kun Zhang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 6542-6558
Closed Access | Times Cited: 3

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

Masking and Generation
Rui Wang, Qianlong Wang, Bin Liang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 2172-2177
Closed 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

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

Sarcasm Over Time and Across Platforms: Does the Way We Express Sarcasm Change?
Mondher Bouazizi, Tomoaki Ohtsuki
IEEE Access (2022) Vol. 10, pp. 55958-55987
Open Access | Times Cited: 8

TDCIER: A Topic-Driven and Dialogue-Interactive Emotion Recognition Model for Multi-Speaker Dialogue

Journal of Environmental Science Computer Science and Engineering & Technology (2024) Vol. 13, Iss. 1
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

Offensive-Language Detection on Multi-Semantic Fusion Based on Data Augmentation
Junjie Liu, Yong Yang, Xiaochao Fan, et al.
Applied System Innovation (2022) Vol. 5, Iss. 1, pp. 9-9
Open Access | Times Cited: 6

Global-Aware Attention Network for Multi-modal Sarcasm Detection
Liujing Song, Zefang Zhao, Yuxiang Ma, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023)
Closed 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

DWAEF: a deep weighted average ensemble framework harnessing novel indicators for sarcasm detection1
Richa Sharma, Simrat Deol, Udit Kaushish, et al.
Data Science (2023) Vol. 6, Iss. 1-2, pp. 17-44
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

Sarcasm Detection: A Systematic Review of Methods and Approaches
Yalamanchili Salini, Jonnadula Harikiran
(2023), pp. 15-22
Closed Access | Times Cited: 2

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