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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:

Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, et al.
Information Fusion (2022) Vol. 91, pp. 424-444
Open Access | Times Cited: 353

Showing 1-25 of 353 citing articles:

Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
Ringki Das, Thoudam Doren Singh
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-38
Open Access | Times Cited: 101
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
Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, et al.
Natural Language Processing Journal (2024) Vol. 6, pp. 100059-100059
Open Access | Times Cited: 48
Effective Techniques for Multimodal Data Fusion: A Comparative Analysis
Maciej Pawłowski, Anna Wròblewska, Sylwia Sysko-Romańczuk
Sensors (2023) Vol. 23, Iss. 5, pp. 2381-2381
Open Access | Times Cited: 47
Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches
Bharati Ainapure, Reshma Pise, P Mahesh Reddy, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2573-2573
Open Access | Times Cited: 45
Deep learning based multimodal biomedical data fusion: An overview and comparative review
Junwei Duan, Jiaqi Xiong, Yinghui Li, et al.
Information Fusion (2024) Vol. 112, pp. 102536-102536
Closed Access | Times Cited: 40
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
M. Saef Ullah Miah, Md. Mohsin Kabir, Talha Bin Sarwar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 37
Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis
Luwei Xiao, Xingjiao Wu, Junjie Xu, et al.
Information Fusion (2024) Vol. 106, pp. 102304-102304
Closed Access | Times Cited: 24
A cross modal hierarchical fusion multimodal sentiment analysis method based on multi-task learning
Lan Wang, Junjie Peng, Cangzhi Zheng, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103675-103675
Closed Access | Times Cited: 22
A Review of Key Technologies for Emotion Analysis Using Multimodal Information
Xianxun Zhu, Chaopeng Guo, Heyang Feng, et al.
Cognitive Computation (2024) Vol. 16, Iss. 4, pp. 1504-1530
Closed Access | Times Cited: 22
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Md Shofiqul Islam, Muhammad Nomani Kabir, Ngahzaifa Ab Ghani, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 20
FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos
Lingyun Song, Siyu Chen, Ziyang Meng, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 7294-7306
Closed Access | Times Cited: 19
Domino effect of parasocial interaction: Of vicarious expression, electronic word-of-mouth, and bandwagon effect in online shopping
Zeeshan Majeed Nadroo, Weng Marc Lim, Mohd Asif Naqshbandi
Journal of Retailing and Consumer Services (2024) Vol. 78, pp. 103746-103746
Open Access | Times Cited: 17
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
A review of cancer data fusion methods based on deep learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, et al.
Information Fusion (2024) Vol. 108, pp. 102361-102361
Closed Access | Times Cited: 17
Sentiment analysis methods, applications, and challenges: A systematic literature review
Yanying Mao, Qun Liu, Yu Zhang
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 4, pp. 102048-102048
Open Access | Times Cited: 17
Online comments of tourist attractions combining artificial intelligence text mining model and attention mechanism
Tingting Mou, Hongbo Wang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, et al.
Information Fusion (2022) Vol. 92, pp. 231-246
Open Access | Times Cited: 53
Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion
James Z. Wang, Sicheng Zhao, Chenyan Wu, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 10, pp. 1236-1286
Open Access | Times Cited: 36
Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals
Huiting Fan, Xingnan Zhang, Yingying Xu, et al.
Information Fusion (2023) Vol. 104, pp. 102161-102161
Closed Access | Times Cited: 35
A survey on semantic processing techniques
Rui Mao, Kai He, Xulang Zhang, et al.
Information Fusion (2023) Vol. 101, pp. 101988-101988
Open Access | Times Cited: 33
Modality translation-based multimodal sentiment analysis under uncertain missing modalities
Zhizhong Liu, Bin Zhou, Dianhui Chu, et al.
Information Fusion (2023) Vol. 101, pp. 101973-101973
Closed Access | Times Cited: 30
Multi-view domain-adaptive representation learning for EEG-based emotion recognition
Chao Li, Ning Bian, Ziping Zhao, et al.
Information Fusion (2023) Vol. 104, pp. 102156-102156
Closed Access | Times Cited: 29
Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph
Yongchun Gu, Yi Wang, Heng‐Ru Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 20169-20183
Open Access | Times Cited: 25
A Survey of Cutting-edge Multimodal Sentiment Analysis
Upendra Singh, Kumar Abhishek, Hiteshwar Kumar Azad
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-38
Closed Access | Times Cited: 13
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