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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:

Video sentiment analysis with bimodal information-augmented multi-head attention
Ting Wu, Junjie Peng, Wenqiang Zhang, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107676-107676
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

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
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
Sentiment Analysis in the Age of Generative AI
Jan Ole Krugmann, Jochen Hartmann
Customer Needs and Solutions (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 30
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
Multimodal Video Sentiment Analysis Using Deep Learning Approaches, a Survey
Sarah A. Abdu, Ahmed H. Yousef, Ashraf Salem
Information Fusion (2021) Vol. 76, pp. 204-226
Closed Access | Times Cited: 102
TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis
Changqin Huang, Junling Zhang, Xuemei Wu, et al.
Knowledge-Based Systems (2023) Vol. 269, pp. 110502-110502
Closed Access | Times Cited: 36
A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face
Hailun Lian, Cheng Lu, Sunan Li, et al.
Entropy (2023) Vol. 25, Iss. 10, pp. 1440-1440
Open Access | Times Cited: 34
TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis
Jingming Hou, Nazlia Omar, Sabrina Tiun, et al.
Neural Networks (2025) Vol. 185, pp. 107222-107222
Closed Access | Times Cited: 1
Multimodal negative sentiment recognition of online public opinion on public health emergencies based on graph convolutional networks and ensemble learning
Ziming Zeng, Shouqiang Sun, Qingqing Li
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103378-103378
Closed Access | Times Cited: 20
SKEAFN: Sentiment Knowledge Enhanced Attention Fusion Network for multimodal sentiment analysis
Chuanbo Zhu, Min Chen, Sheng Zhang, et al.
Information Fusion (2023) Vol. 100, pp. 101958-101958
Closed Access | Times Cited: 19
A fine-grained modal label-based multi-stage network for multimodal sentiment analysis
Junjie Peng, Ting Wu, Wenqiang Zhang, et al.
Expert Systems with Applications (2023) Vol. 221, pp. 119721-119721
Closed Access | Times Cited: 18
TCHFN: Multimodal sentiment analysis based on Text-Centric Hierarchical Fusion Network
Jingming Hou, Nazlia Omar, Sabrina Tiun, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112220-112220
Closed Access | Times Cited: 7
Sentiment analysis from Customer-generated online videos on product review using topic modeling and Multi-attention BLSTM
Zheng Wang, Peng Gao, Xuening Chu
Advanced Engineering Informatics (2022) Vol. 52, pp. 101588-101588
Closed Access | Times Cited: 25
MAGDRA: A Multi-modal Attention Graph Network with Dynamic Routing-By-Agreement for multi-label emotion recognition
Xingye Li, Jin Liu, Yurong Xie, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111126-111126
Closed Access | Times Cited: 16
AdaMoW: Multimodal Sentiment Analysis Based on Adaptive Modality-Specific Weight Fusion Network
Junling Zhang, Xuemei Wu, Changqin Huang
IEEE Access (2023) Vol. 11, pp. 48410-48420
Open Access | Times Cited: 15
MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis
Shuzhen Li, Tong Zhang, Bianna Chen, et al.
IEEE Transactions on Affective Computing (2023) Vol. 14, Iss. 4, pp. 2796-2809
Closed Access | Times Cited: 14
MEMF: Multi-entity multimodal fusion framework for sales prediction in live streaming commerce
Guang Xu, Ming Ren, Zhenhua Wang, et al.
Decision Support Systems (2024) Vol. 184, pp. 114277-114277
Closed Access | Times Cited: 5
Audio Description Customization
Rosiana Natalie, Ruei-Che Chang, Smitha Sheshadri, et al.
(2024) Vol. 84, pp. 1-19
Open Access | Times Cited: 5
Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics
Fernando Arias, Maytee Zambrano Nunez, Ariel Guerra-Adames, et al.
IEEE Access (2022) Vol. 10, pp. 74850-74872
Open Access | Times Cited: 21
A Multi-Stage Hierarchical Relational Graph Neural Network for Multimodal Sentiment Analysis
Peizhu Gong, Jin Liu, Xiliang Zhang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 13
Co-space Representation Interaction Network for multimodal sentiment analysis
Hang Shi, Yuanyuan Pu, Zhengpeng Zhao, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111149-111149
Closed Access | Times Cited: 13
Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey
Ananya Pandey, Dinesh Kumar Vishwakarma
Applied Soft Computing (2023) Vol. 152, pp. 111206-111206
Closed Access | Times Cited: 12
Multimodal Mutual Attention-Based Sentiment Analysis Framework Adapted to Complicated Contexts
Lijun He, Ziqing Wang, Liejun Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 12, pp. 7131-7143
Closed Access | Times Cited: 11
TGFN-SD: A text-guided multimodal fusion network for swine disease diagnosis
Gan Yang, Q. Z. Li, Chunjiang Zhao, et al.
Artificial Intelligence in Agriculture (2025)
Open 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
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