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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:

Emotion recognition based on multiple physiological signals
Qi Li, Yunqing Liu, Fei Yan, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104989-104989
Closed Access | Times Cited: 23

Showing 23 citing articles:

Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation
Chenxi Tian, Yuliang Ma, Jared Cammon, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2018-2027
Open Access | Times Cited: 23
An emotion recognition method based on EWT-3D–CNN–BiLSTM-GRU-AT model
Muharrem Çelebi, Sıtkı Öztürk, Kaplan Kaplan
Computers in Biology and Medicine (2024) Vol. 169, pp. 107954-107954
Closed Access | Times Cited: 8
EEG-Based Multimodal Emotion Recognition: A Machine Learning Perspective
Huan Liu, Tianyu Lou, Yuzhe Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-29
Closed Access | Times Cited: 8
Enhanced multimodal emotion recognition in healthcare analytics: A deep learning based model-level fusion approach
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106241-106241
Closed Access | Times Cited: 8
EEG-based floor vibration serviceability evaluation using machine learning
Jiang Li, Weizhao Tang, Jiepeng Liu, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103089-103089
Closed Access
Emotion recognition from multiple physiological signals using intra- and inter-modality attention fusion network
Linlin Gong, Wanzhong Chen, Mingyang Li, et al.
Digital Signal Processing (2023) Vol. 144, pp. 104278-104278
Closed Access | Times Cited: 13
Human emotion recognition using Machine learning techniques based on the physiological signal
Akhilesh Kumar, Awadhesh Kumar
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107039-107039
Closed Access | Times Cited: 3
Assessing the Impact of Street Visual Environment on the Emotional Well-Being of Young Adults through Physiological Feedback and Deep Learning Technologies
Wei Zhao, Liang Tan, Shaofei Niu, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1730-1730
Open Access | Times Cited: 2
Emotion recognition from multichannel EEG signals based on low-rank subspace self-representation features
Yunyuan Gao, Yunfeng Xue, Jian Gao
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106877-106877
Closed Access | Times Cited: 2
Multimodal Dataset Construction and Validation for Driving-Related Anger: A Wearable Physiological Conduction and Vehicle Driving Data Approach
Lichen Sun, Hongze Yang, Bo Li
Electronics (2024) Vol. 13, Iss. 19, pp. 3904-3904
Open Access | Times Cited: 2
Incongruity-aware multimodal physiology signals fusion for emotion recognition
Jing Li, Ning Chen, Hongqing Zhu, et al.
Information Fusion (2023) Vol. 105, pp. 102220-102220
Closed Access | Times Cited: 5
Multimodal emotion recognition: A comprehensive review, trends, and challenges
Manju Priya Arthanarisamy Ramaswamy, Suja Palaniswamy
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Closed Access | Times Cited: 1
Semisupervised Deep Features of Time-Frequency Maps for Multimodal Emotion Recognition
Behrooz Zali-Vargahan, Asghar Charmin, Hashem Kalbkhani, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 2
Learner’s cognitive state recognition based on multimodal physiological signal fusion
Y. Li, Yue Li, Xiuling He, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access
Investigation of Visual Comfort Metrics in a Gymnasium Based on Subjective Evaluation and Physiological Responses
Yuqing Li, Ling Zhou, Xiaoyun Li
(2024)
Closed Access
Deep learning model for simultaneous recognition of quantitative and qualitative emotion using visual and bio-sensing data
Iman Hosseini, Md Zakir Hossain, Yuhao Zhang, et al.
Computer Vision and Image Understanding (2024) Vol. 248, pp. 104121-104121
Closed Access
Fine-grained Dual-space Context Analysis Network for Multimodal Emotion Recognition
Jinghao Li, Jiajia Tang, Wanzeng Kong, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals
Yan Wu, Tianyu Meng, Qi Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107054-107054
Closed Access
MCNN-CMCA: A Multiscale Convolutional Neural Networks with Cross-Modal Channel Attention for Physiological Signal-Based Mental State Recognition
Yayun Wei, Lei Cao, Yilin Dong, et al.
Digital Signal Processing (2024) Vol. 156, pp. 104856-104856
Closed Access
Evaluation method of Driver’s olfactory preferences: a machine learning model based on multimodal physiological signals
Bangbei Tang, Mingxin Zhu, Zhian Hu, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access
A Novel Psychotherapy Effect Detector of Public Art Based on ResNet and EEG Imaging
Tingyi Tian, Le Wang, Man Luo, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 2
Physiological State Can Help Predict the Perceived Emotion of Music: Evidence from ECG and EDA Signals
Liang Xu, Jie Wang, Xin Wen, et al.
American Journal of Life Sciences (2021) Vol. 9, Iss. 5, pp. 105-105
Open Access | Times Cited: 2
Neural Network Based Driving Safety Analysis in Desert Areas
Fang Wang, Siping Huang, Shixiao Liu, et al.
IEEE Access (2023), pp. 1-1
Open Access
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