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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:

GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition
Jiang Li, Xiaoping Wang, Guoqing Lv, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 77-89
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Deep Multimodal Data Fusion
Fei Zhao, Chengcui Zhang, Baocheng Geng
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-36
Open Access | Times Cited: 21
Fusing pairwise modalities for emotion recognition in conversations
Chunxiao Fan, Jie Lin, Rui Mao, et al.
Information Fusion (2024) Vol. 106, pp. 102306-102306
Closed Access | Times Cited: 20
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: 19
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
Hierarchical heterogeneous graph network based multimodal emotion recognition in conversation
Jieru Peng, Hong Tang, Wenbin Zheng
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access
HGF-MiLaG: Hierarchical Graph Fusion for Emotion Recognition in Conversation with Mid-Late Gender-Aware Strategy
Y. D. Wang, R. Hao, Ziheng Li, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1182-1182
Open Access
A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition
Xiaoheng Zhang, Weigang Cui, Bin Hu, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 3, pp. 1553-1566
Closed Access | Times Cited: 3
Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation
Jiandong Shi, Ming Li, Yuting Chen, et al.
Information Sciences (2024) Vol. 686, pp. 121393-121393
Closed Access | Times Cited: 3
HiMul-LGG: A hierarchical decision fusion-based local-global graph neural network for multimodal emotion recognition in conversation
Changzeng Fu, Fengkui Qian, Kaifeng Su, et al.
Neural Networks (2024) Vol. 181, pp. 106764-106764
Closed Access | Times Cited: 3
Residual Relation-Aware Attention Deep Graph-Recurrent Model for Emotion Recognition in Conversation
Anh-Quang Duong, Ngoc-Huynh Ho, Sudarshan Pant, et al.
IEEE Access (2024) Vol. 12, pp. 2349-2360
Open Access | Times Cited: 2
Bi-stream graph learning based multimodal fusion for emotion recognition in conversation
Nannan Lu, Zhiyuan Han, Min Han, et al.
Information Fusion (2024) Vol. 106, pp. 102272-102272
Closed Access | Times Cited: 2
SMFNM: Semi-supervised multimodal fusion network with main-modal for real-time emotion recognition in conversations
Juan Yang, Xuanxiong Dong, Xu Du
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101791-101791
Open Access | Times Cited: 5
Masked Graph Learning With Recurrent Alignment for Multimodal Emotion Recognition in Conversation
Tao Meng, F. Zhang, Yuntao Shou, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2024) Vol. 32, pp. 4298-4312
Closed Access | Times Cited: 1
A Two-Stage Multi-Modal Multi-Label Emotion Recognition Decision System Based on GCN
Weiwei Wu, Daomin Chen, Qingping Li
International Journal of Decision Support System Technology (2024) Vol. 16, Iss. 1, pp. 1-17
Open Access | Times Cited: 1
PTH-Net: Dynamic Facial Expression Recognition without Face Detection and Alignment
Min Li, Xiaoqin Zhang, Tangfei Liao, et al.
IEEE Transactions on Image Processing (2024) Vol. 34, pp. 30-43
Closed Access | Times Cited: 1
Bi-Stream Graph Learning Based Multimodal Fusion for Emotion Recognition in Conversation
Nannan Lu, Zhiyuan Han, Min Han, et al.
(2023)
Closed Access | Times Cited: 2
Multimodal Decoupled Distillation Graph Neural Network for Emotion Recognition in Conversation
Yijing Dai, Yingjian Li, Dongpeng Chen, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 10, pp. 9910-9924
Closed Access
SIA-Net: Sparse Interactive Attention Network for Multimodal Emotion Recognition
Shuzhen Li, Tong Zhang, C. L. Philip Chen
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6782-6794
Closed Access
Hierarchical Cross-Modal Interaction and Fusion Network Enhanced with Self-Distillation for Emotion Recognition in Conversations
Puling Wei, Juan Yang, Yali Xiao
Electronics (2024) Vol. 13, Iss. 13, pp. 2645-2645
Open Access
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
Yingjian Liu, Jiang Li, Xiaoping Wang, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 8
Closed Access
Graph Neural Network-Based Speech Emotion Recognition: A Fusion of Skip Graph Convolutional Networks and Graph Attention Networks
Han Wang, Deok‐Hwan Kim
Electronics (2024) Vol. 13, Iss. 21, pp. 4208-4208
Open Access
MRSLN: A Multimodal Residual Speaker-LSTM Network to alleviate the over-smoothing issue for Emotion Recognition in Conversation
Nannan Lu, Zhen Tan, Jiansheng Qian
Neurocomputing (2024) Vol. 580, pp. 127467-127467
Closed Access
EmoAsst: emotion recognition assistant via text-guided transfer learning on pre-trained visual and acoustic models
Minxiao Wang, Ning Yang
Frontiers in Computer Science (2024) Vol. 6
Open Access
Dynamic Learning Balance Based on Information Bottleneck Theory for Alleviating Modality Degradation
Nannan Lu, Zhen Tan, Min Han, et al.
(2024)
Closed Access
Conclusions
Ananda S. Chowdhury, Abhimanyu Sahu
Elsevier eBooks (2024), pp. 261-265
Closed Access
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