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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:

Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Priyadarsini Samal, Mohammad Farukh Hashmi
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 21

Showing 21 citing articles:

CLTNet: A Hybrid Deep Learning Model for Motor Imagery Classification
和憲 神谷, Ting-Wei Chen, Xiao Ma, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 124-124
Open Access
A review on EEG-based multimodal learning for emotion recognition
Rajasekhar Pillalamarri, S. Udhayakumar
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Machine Learning with Brain Data
Ujwal Chaudhary
(2025), pp. 179-223
Closed Access
CAT-LCAN: A Multimodal Physiological Signal Fusion Framework for Emotion Recognition
Ao Li, Zhao Lv, Xinhui Li
Lecture notes in computer science (2025), pp. 168-177
Closed Access
Smart healthcare: Integration of AI and brain cells for advanced healthcare applications
Oroos Arshi, Aryan Chaudhary
Open Health (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 1
Enhancing local representation learning through global–local integration with functional connectivity for EEG-based emotion recognition
Baole Fu, Xiangkun Yu, Guijie Jiang, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108857-108857
Closed Access | Times Cited: 1
Prediction of Attention Deficit Hyperactivity Disorder Using Machine Learning Models
Sri Parameswaran, S.R Gowsheeba, E Praveen, et al.
(2024), pp. 1-6
Closed Access
Reconstructing damaged fNIRS signals with a generative deep learning model
Yingxu Zhi, Baiqiang Zhang, Bingxin Xu, et al.
Research Square (Research Square) (2024)
Open Access
Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing
I. Sakthidevi, G. Fathima
Human-Centric Intelligent Systems (2024) Vol. 4, Iss. 4, pp. 511-526
Open Access
A Multi-Modal Approach to Gesture Recognition: Exploring Semg Statistical and Eegchaotic Features
Elsa Concha-Pérez, Jorge A. Reyes-Avendaño, Hugo G. González-Hernández
(2024)
Closed Access
Attention-Based PSO-LSTM for Emotion Estimation Using EEG
Hayato OKA, Keiko Ono, Panagiotis Adamidis
Sensors (2024) Vol. 24, Iss. 24, pp. 8174-8174
Open Access
Can guilt enhance sensitivity to other’s suffering? An EEG investigation into moral emotions and pain empathy
He Wang, Ye Zhang, Lihong Ao, et al.
Cerebral Cortex (2024)
Closed Access
Modeling Emotions and Feelings with Quantum Circuits
Ruilin Qin, Changle Zhou
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 1108-1113
Closed Access
A Review on EEG-based Multimodal Learning for Emotion Recognition
Rajasekhar Pillalamarri, S. Udhayakumar
Research Square (Research Square) (2024)
Closed Access
Evaluating Cognitive Decline Detection in Aging Populations with Single-Channel EEG Features: Insights from Studies and Meta-Analysis
Lior Molcho, Neta B. Maimon, Talya Zeimer, et al.
Research Square (Research Square) (2024)
Closed Access
Multi-view brain functional connectivity and hierarchical fusion for EEG-based emotion recognition
Baole Fu, Xiangkun Yu, Feng Wu, et al.
Measurement (2024), pp. 116046-116046
Closed Access
Analyzing the Potential Contribution of a Meta-Learning Approach to Robust and Effective Subject-Independent, Emotion-Related Time Series Analysis of Bio-signals
Witesyavwirwa Vianney Kambale, Denis D’Ambrosi, Mohamed El Bahnasawi, et al.
Studies in computational intelligence (2024), pp. 139-187
Closed Access
Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM
Yue Xu, Yunyuan Gao, Zhengnan Zhang, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access
Reconstructing damaged fNIRS signals with a generative deep learning model
Yingxu Zhi, Baiqiang Zhang, Bingxin Xu, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access
A CNN Approach in Building EEG-Based Emotion Recognition System for AIoT Applications
Thuong Duong Thi, Trung-Nghia Phung, Huy Nguyen Phuong
Lecture notes on data engineering and communications technologies (2024), pp. 123-133
Closed Access
Design and Implementation of Emotional Speech Synthesis Algorithm for Tibetan Virtual Digital People
Kai Liang, Xi Han, Ting Luo
(2024), pp. 882-886
Closed Access
Sleep Stages Classification Based on Diverse Resting-State Multi-Channel EEG Using Deep Learning
Mitali Patel, Ansh Mendpara, Santosh Kumar Satapathy, et al.
(2024), pp. 1-6
Closed Access
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