OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A multimodal fusion method for sarcasm detection based on late fusion
Ning Ding, Shengwei Tian, Long Yu
Multimedia Tools and Applications (2022) Vol. 81, Iss. 6, pp. 8597-8616
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Sarcasm Detection over Social Media Platforms Using Hybrid Auto-Encoder-Based Model
Dilip Kumar Sharma, Bhuvanesh Singh, Saurabh Agarwal, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2844-2844
Open Access | Times Cited: 34

On the Utility of Self-Supervised Models for Prosody-Related Tasks
Guan-Ting Lin, Chi-Luen Feng, Weiping Huang, et al.
2022 IEEE Spoken Language Technology Workshop (SLT) (2023), pp. 1104-1111
Open Access | Times Cited: 15

Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation
Yazhou Zhang, Yang Yu, Dongming Zhao, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 3, pp. 1349-1361
Closed Access | Times Cited: 13

Comparative Analysis of Different Models for Sarcastic and Non-sarcastic Text Detection Using NLP
Deval Verma, Pranay Kumar, Manish Agarwal, et al.
Lecture notes in networks and systems (2025), pp. 671-682
Closed Access

A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis
Yaochen Liu, Yazhou Zhang, Dawei Song
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 1, pp. 326-341
Open Access | Times Cited: 9

A smart video analytical framework for sarcasm detection using novel adaptive fusion network and SarcasNet-99 model
Jamuna S. Murthy, Siddesh Gaddadevara Matt
The Visual Computer (2024)
Closed Access | Times Cited: 3

Multimodal Sarcasm Recognition by Fusing Textual, Visual and Acoustic content via Multi-Headed Attention for Video Dataset
Sajal Aggarwal, Ananya Pandey, Dinesh Kumar Vishwakarma
(2023), pp. 1-5
Closed Access | Times Cited: 6

JTMA: Joint Multimodal Feature Fusion and Temporal Multi-head Attention for Humor Detection
Qi Li, Yangyang Xu, Zhuoer Zhao, et al.
(2023), pp. 59-65
Closed Access | Times Cited: 5

A Survey of Sarcasm Detection Techniques in Natural Language Processing
Bhuvanesh Singh, Dilip Kumar Sharma
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2023), pp. 1-6
Closed Access | Times Cited: 4

A Fine-Grained Tri-Modal Interaction Model for Multimodal Sentiment Analysis
Yuxing Zhi, Junhuai Li, Huaijun Wang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 5715-5719
Closed Access | Times Cited: 1

Contextual Emotion Detection in Text using Deep Learning and Big Data
Papel Chandra, Md. Tabil Ahammed, Sudipto Ghosh, et al.
2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA) (2022), pp. 1-5
Closed Access | Times Cited: 6

Improved ensemble based deep learning approach for sarcastic opinion classification
S. Uma Maheswari, S. S. Dhenakaran
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 38267-38289
Closed Access | Times Cited: 3

Image-text fusion transformer network for sarcasm detection
Jing Liu, Shengwei Tian, Long Yu, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 41895-41909
Closed Access | Times Cited: 3

Multimodal Sarcasm Detection (MSD) in Videos using Deep Learning Models
Ananya Pandey, Dinesh Kumar Vishwakarma
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (2023), pp. 811-814
Closed Access | Times Cited: 2

Self-Adaptive Representation Learning Model for Multi-Modal Sentiment and Sarcasm Joint Analysis
Yazhou Zhang, Yang Yu, Mengyao Wang, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2023) Vol. 20, Iss. 5, pp. 1-17
Closed Access | Times Cited: 2

Developing liver cancer drug response prediction system using late fusion of reduced deep features
Mehdi Hassan, Safdar Ali, Hani Alquhayz, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 8122-8135
Open Access | Times Cited: 4

A Multi-Modal ELMo Model for Image Sentiment Recognition of Consumer Data
Lu Rong, Yijie Ding, Mengyao Wang, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 3697-3708
Closed Access

Sarcasm Detection
Himani Pokhriyal, Goonjan Jain
Advances in computational intelligence and robotics book series (2024), pp. 197-221
Closed Access

Compact bilinear pooling and multi-loss network for social media multimodal classification
Yushi Li, Xin Zheng, Ming Zhu, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 8403-8412
Closed Access

Adaptive Sensitive Information Recognition Based on Multimodal Information Inference in Social Networks
Peiyu Ji, Fangfang Shan, Fuyang Li, et al.
Security and Communication Networks (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 1

Modern automatic recognition technologies for visual communication tools
V. O. Yachnaya, V.R. Lutsiv, R.O. Malashin
Computer Optics (2023) Vol. 47, Iss. 2
Open Access

Page 1 - Next Page

Scroll to top