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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:

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

Showing 1-25 of 72 citing articles:

KnowleNet: Knowledge fusion network for multimodal sarcasm detection
Tan Yue, Rui Mao, Heng Wang, et al.
Information Fusion (2023) Vol. 100, pp. 101921-101921
Closed Access | Times Cited: 61
PriMonitor: An adaptive tuning privacy-preserving approach for multimodal emotion detection
Lihua Yin, Sixin Lin, Zhe Sun, et al.
World Wide Web (2024) Vol. 27, Iss. 2
Closed Access | Times Cited: 24
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection
Hao Liu, Runguo Wei, Geng Tu, et al.
Information Fusion (2024) Vol. 108, pp. 102353-102353
Closed Access | Times Cited: 17
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: 46
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection
Changsong Wen, Guoli Jia, Jufeng Yang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 28
A cross-modal collaborative guiding network for sarcasm explanation in multi-modal multi-party dialogues
X. Zhuang, Zhixin Li, Canlong Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109884-109884
Closed Access | Times Cited: 1
DyCR-Net: A dynamic context-aware routing network for multi-modal sarcasm detection in conversation
X. Zhuang, Zhixin Li, Fengling Zhou, et al.
Knowledge-Based Systems (2025), pp. 113029-113029
Closed Access | Times Cited: 1
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 | Times Cited: 1
Coordinated-joint translation fusion framework with sentiment-interactive graph convolutional networks for multimodal sentiment analysis
Qiang Lu, Xia Sun, Zhizezhang Gao, et al.
Information Processing & Management (2023) Vol. 61, Iss. 1, pp. 103538-103538
Closed Access | Times Cited: 20
Dynamic Routing Transformer Network for Multimodal Sarcasm Detection
Yuan Tian, Nan Xu, Ruike Zhang, et al.
(2023)
Open Access | Times Cited: 17
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
Mengzhao Jia, Xie Can, Liqiang Jing
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18354-18362
Open Access | Times Cited: 8
A Multi-View Interactive Approach for Multimodal Sarcasm Detection in Social Internet of Things with Knowledge Enhancement
Hao Liu, Bo Yang, Zhiwen Yu
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2146-2146
Open Access | Times Cited: 6
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
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: 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
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
Liam Hebert, Gaurav Sahu, Yuxuan Guo, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22096-22104
Open Access | Times Cited: 4
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
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
A knowledge-enhanced directed graph isomorphism network for multimodal sarcasm detection
Yu Liu, Ziming Zeng
The Electronic Library (2025)
Closed Access
An unsupervised sarcasm detection in Indian political tweets: A comprehensive approach
Faranadia Abdul Haris, S. Dutt, Mahesh Appukuttan Nair Sreedevi Amma
AIP conference proceedings (2025) Vol. 3281, pp. 030032-030032
Closed Access
A progressive interaction model for multimodal sarcasm detection
Yulei Zhang, Guangli Zhu, Yuanyuan Ding, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Representation distribution matching and dynamic routing interaction for multimodal sentiment analysis
Zuhe Li, Zhenwei Huang, Xianfei He, et al.
Knowledge-Based Systems (2025), pp. 113376-113376
Closed Access
Quantum neural networks for multimodal sentiment, emotion, and sarcasm analysis
Jaiteg Singh, Kamalpreet Singh Bhangu, Abdulrhman Alkhanifer, et al.
Alexandria Engineering Journal (2025) Vol. 124, pp. 170-187
Closed Access
MSTI-Plus: Introducing Non-Sarcasm Reference Materials to Enhance Multimodal Sarcasm Target Identification
Fengmao Lv, Mengting Xiong, J.-F. Fang, et al.
(2025), pp. 614-624
Closed Access
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