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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:

EEG-based emotion recognition using hybrid CNN and LSTM classification
Bhuvaneshwari Chakravarthi, Sin-Chun Ng, M. R. Ezilarasan, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

A BERT Framework to Sentiment Analysis of Tweets
Abayomi Bello, Sin-Chun Ng, Man-Fai Leung
Sensors (2023) Vol. 23, Iss. 1, pp. 506-506
Open Access | Times Cited: 98
NIDS-CNNLSTM: Network Intrusion Detection Classification Model Based on Deep Learning
Jiawei Du, Kai Yang, Yanjing Hu, et al.
IEEE Access (2023) Vol. 11, pp. 24808-24821
Open Access | Times Cited: 48
Enhancing intrusion detection: a hybrid machine and deep learning approach
Muhammad Sajid, Kaleem Razzaq Malik, Ahmad Almogren, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 16
A Novel Baseline Removal Paradigm for Subject-Independent Features in Emotion Classification Using EEG
Md. Zaved Iqubal Ahmed, Nidul Sinha, Ebrahim Ghaderpour, et al.
Bioengineering (2023) Vol. 10, Iss. 1, pp. 54-54
Open Access | Times Cited: 32
MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East
Mohammed Yusuf Ansari, Marwa Qaraqe
IEEE Access (2023) Vol. 11, pp. 4589-4601
Open Access | Times Cited: 26
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
IEEE Access (2023) Vol. 11, pp. 127271-127301
Open Access | Times Cited: 26
ERTNet: an interpretable transformer-based framework for EEG emotion recognition
Ruixiang Liu, Yihu Chao, Xuerui Ma, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 13
Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces
Maximilian Achim Pfeffer, Sai Ho Ling, Johnny Kwok Wai Wong
Computers in Biology and Medicine (2024) Vol. 178, pp. 108705-108705
Open Access | Times Cited: 10
CVGG-19: Customized Visual Geometry Group Deep Learning Architecture for Facial Emotion Recognition
Jung Hwan Kim, Alwin Poulose, Dong Seog Han
IEEE Access (2024) Vol. 12, pp. 41557-41578
Open Access | Times Cited: 9
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 Emotion Classification Using Stacking Ensemble Approach
Subhajit Chatterjee, Yung-Cheol Byun
Sensors (2022) Vol. 22, Iss. 21, pp. 8550-8550
Open Access | Times Cited: 33
A convolutional neural network-based decision support system for neonatal quiet sleep detection
Saadullah Farooq Abbasi, Qammer H. Abbasi, Faisal Saeed, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 9, pp. 17018-17036
Open Access | Times Cited: 18
Explainable Misinformation Detection Across Multiple Social Media Platforms
Gargi Joshi, Ananya Srivastava, Bhargav Yagnik, et al.
IEEE Access (2023) Vol. 11, pp. 23634-23646
Open Access | Times Cited: 17
Optimizing the configuration of deep learning models for music genre classification
Teng Li
Heliyon (2024) Vol. 10, Iss. 2, pp. e24892-e24892
Open Access | Times Cited: 6
A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals
M.A. Mousa, Abdelrahman T. Elgohr, Hatem A. Khater
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 6
Electroencephalogram-Based Emotion Recognition: A Comparative Analysis of Supervised Machine Learning Algorithms
A. H. Prakash, Alwin Poulose
Data Science and Management (2025)
Open Access
PilotCareTrans Net: an EEG data-driven transformer for pilot health monitoring
Kun Zhao, Xueying Guo
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access
MSF-Net: Multi-stage fusion network for emotion recognition from multimodal signals in scalable healthcare
Md. Milon Islam, Fakhri Karray, Ghulam Muhammad
Information Fusion (2025), pp. 103028-103028
Open Access
Emotion recognition in virtual and non-virtual environments using EEG signals: Dataset and evaluation
Naseem Babu, Udit Satija, Jimson Mathew, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107674-107674
Closed Access
Emotion recognition based on multimodal physiological electrical signals
Zhuozheng Wang, Yihan Wang
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Federated learning in Emotion Recognition Systems based on physiological signals for privacy preservation: a review
Neha Gahlan, Divyashikha Sethia
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
EEG-CNN-Souping: Interpretable emotion recognition from EEG signals using EEG-CNN-souping model and explainable AI
Eamin Chaudary, Sheeraz Ahmad Khan, Wajid Mumtaz
Computers & Electrical Engineering (2025) Vol. 123, pp. 110189-110189
Closed Access
Feature Pyramid Networks and Long Short-Term Memory for EEG Feature Map-Based Emotion Recognition
Xiaodan Zhang, Yige Li, Jinxiang Du, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1622-1622
Open Access | Times Cited: 10
An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications
Syed Mohsin Ali Shah, Syed Muhammad Usman, Shehzad Khalid, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9744-9744
Open Access | Times Cited: 18
Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network
Mohammad Saleh Khajeh Hosseini, Mohammad Firoozabadi, Kambiz Badie, et al.
Brain Sciences (2023) Vol. 13, Iss. 6, pp. 947-947
Open Access | Times Cited: 9
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