
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:
Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition
Yücel Çimtay, Erhan Ekmekcioǧlu
Sensors (2020) Vol. 20, Iss. 7, pp. 2034-2034
Open Access | Times Cited: 198
Yücel Çimtay, Erhan Ekmekcioǧlu
Sensors (2020) Vol. 20, Iss. 7, pp. 2034-2034
Open Access | Times Cited: 198
Showing 26-50 of 198 citing articles:
EEG Feature Extraction and Data Augmentation in Emotion Recognition
Mahsa Pourhossein Kalashami, Mir Mohsen Pedram, Hossein Sadr
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 38
Mahsa Pourhossein Kalashami, Mir Mohsen Pedram, Hossein Sadr
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 38
Emotion recognition framework using multiple modalities for an effective human–computer interaction
Anam Moin, Farhan Aadil, Zeeshan Ali, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 8, pp. 9320-9349
Closed Access | Times Cited: 35
Anam Moin, Farhan Aadil, Zeeshan Ali, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 8, pp. 9320-9349
Closed Access | Times Cited: 35
EEG-based cross-subject emotion recognition using multi-source domain transfer learning
Jie Quan, Ying Li, Lingyue Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104741-104741
Closed Access | Times Cited: 32
Jie Quan, Ying Li, Lingyue Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104741-104741
Closed Access | Times Cited: 32
STGATE: Spatial-temporal graph attention network with a transformer encoder for EEG-based emotion recognition
Jingcong Li, Weijian Pan, Haiyun Huang, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 29
Jingcong Li, Weijian Pan, Haiyun Huang, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 29
Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition
Wenhui Guo, Guixun Xu, Yanjiang Wang
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104998-104998
Closed Access | Times Cited: 24
Wenhui Guo, Guixun Xu, Yanjiang Wang
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104998-104998
Closed Access | Times Cited: 24
A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver’s mental load and emotional state
Jing Huang, Peng Yang, Lin Hu
Expert Systems with Applications (2023) Vol. 238, pp. 121729-121729
Closed Access | Times Cited: 21
Jing Huang, Peng Yang, Lin Hu
Expert Systems with Applications (2023) Vol. 238, pp. 121729-121729
Closed Access | Times Cited: 21
Prediction of drug response in major depressive disorder using ensemble of transfer learning with convolutional neural network based on EEG
Mohsen Sadat Shahabi, Ahmad Shalbaf, Arash Maghsoudi
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 946-959
Closed Access | Times Cited: 53
Mohsen Sadat Shahabi, Ahmad Shalbaf, Arash Maghsoudi
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 946-959
Closed Access | Times Cited: 53
Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network
Jungchan Cho, Hyoseok Hwang
Sensors (2020) Vol. 20, Iss. 12, pp. 3491-3491
Open Access | Times Cited: 49
Jungchan Cho, Hyoseok Hwang
Sensors (2020) Vol. 20, Iss. 12, pp. 3491-3491
Open Access | Times Cited: 49
EEG-based detection of emotional valence towards a reproducible measurement of emotions
Andrea Apicella, Pasquale Arpaïa, Giovanna Mastrati, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 49
Andrea Apicella, Pasquale Arpaïa, Giovanna Mastrati, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 49
Deep BiLSTM neural network model for emotion detection using cross-dataset approach
Vaishali M. Joshi, Rajesh Ghongade, Aditi Joshi, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103407-103407
Closed Access | Times Cited: 45
Vaishali M. Joshi, Rajesh Ghongade, Aditi Joshi, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103407-103407
Closed Access | Times Cited: 45
Cross-Subject EEG-Based Emotion Recognition Through Neural Networks With Stratified Normalization
Javier Fdez, Nicholas Guttenberg, Olaf Witkowski, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 44
Javier Fdez, Nicholas Guttenberg, Olaf Witkowski, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 44
EEG-Based Emotion Recognition via Neural Architecture Search
Chang Li, Zhongzhen Zhang, Rencheng Song, et al.
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 2, pp. 957-968
Closed Access | Times Cited: 41
Chang Li, Zhongzhen Zhang, Rencheng Song, et al.
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 2, pp. 957-968
Closed Access | Times Cited: 41
Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition
Ali Olamat, Pınar Özel, Sema Atasever
International Journal of Neural Systems (2022) Vol. 32, Iss. 05
Closed Access | Times Cited: 34
Ali Olamat, Pınar Özel, Sema Atasever
International Journal of Neural Systems (2022) Vol. 32, Iss. 05
Closed Access | Times Cited: 34
A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition
Minmin Miao, Longxin Zheng, Baoguo Xu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104141-104141
Closed Access | Times Cited: 34
Minmin Miao, Longxin Zheng, Baoguo Xu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104141-104141
Closed Access | Times Cited: 34
Emotion Recognition Using a Reduced Set of EEG Channels Based on Holographic Feature Maps
Ante Topic, Mladen Russo, Maja Stella, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3248-3248
Open Access | Times Cited: 29
Ante Topic, Mladen Russo, Maja Stella, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3248-3248
Open Access | Times Cited: 29
Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion
Darshana Priyasad, Tharindu Fernando, Simon Denman, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109038-109038
Closed Access | Times Cited: 28
Darshana Priyasad, Tharindu Fernando, Simon Denman, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109038-109038
Closed Access | Times Cited: 28
Bi-hemisphere asymmetric attention network: recognizing emotion from EEG signals based on the transformer
Xinyue Zhong, Yun Gu, Yutong Luo, et al.
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 15278-15294
Closed Access | Times Cited: 28
Xinyue Zhong, Yun Gu, Yutong Luo, et al.
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 15278-15294
Closed Access | Times Cited: 28
A systematic literature review of emotion recognition using EEG signals
Dwi Wahyu Prabowo, Hanung Adi Nugroho, Noor Akhmad Setiawan, et al.
Cognitive Systems Research (2023) Vol. 82, pp. 101152-101152
Closed Access | Times Cited: 19
Dwi Wahyu Prabowo, Hanung Adi Nugroho, Noor Akhmad Setiawan, et al.
Cognitive Systems Research (2023) Vol. 82, pp. 101152-101152
Closed Access | Times Cited: 19
Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques
Rajamanickam Yuvaraj, Arapan Baranwal, A. Amalin Prince, et al.
Brain Sciences (2023) Vol. 13, Iss. 4, pp. 685-685
Open Access | Times Cited: 16
Rajamanickam Yuvaraj, Arapan Baranwal, A. Amalin Prince, et al.
Brain Sciences (2023) Vol. 13, Iss. 4, pp. 685-685
Open Access | Times Cited: 16
Driver state recognition with physiological signals: Based on deep feature fusion and feature selection techniques
Jing Huang, Xinyu Huang, Peng Yang, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106204-106204
Closed Access | Times Cited: 6
Jing Huang, Xinyu Huang, Peng Yang, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106204-106204
Closed Access | Times Cited: 6
Effects of feature reduction on emotion recognition using EEG signals and machine learning
Leonardo Trujillo, Daniel E. Hernández, Adrián Rodríguez Aguiñaga, et al.
Expert Systems (2024) Vol. 41, Iss. 8
Closed Access | Times Cited: 6
Leonardo Trujillo, Daniel E. Hernández, Adrián Rodríguez Aguiñaga, et al.
Expert Systems (2024) Vol. 41, Iss. 8
Closed Access | Times Cited: 6
A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications
Weizhi Ma, Yujia Zheng, Tianhao Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2065-e2065
Open Access | Times Cited: 5
Weizhi Ma, Yujia Zheng, Tianhao Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2065-e2065
Open Access | Times Cited: 5
Emotion recognition using VMD domain bandwidth and spectral features
Avinash Vujji, Nalini Pusarla, Anurag Singh, et al.
International Journal of Information Technology (2025)
Closed Access
Avinash Vujji, Nalini Pusarla, Anurag Singh, et al.
International Journal of Information Technology (2025)
Closed Access
Toward the Construction of Affective Brain-Computer Interface: A Systematic Review
Huayu Chen, Junxiang Li, Huanhuan He, et al.
ACM Computing Surveys (2025)
Closed Access
Huayu Chen, Junxiang Li, Huanhuan He, et al.
ACM Computing Surveys (2025)
Closed Access
Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition
Gopal Chandra Jana, Anshuman Sabath, Anupam Agrawal
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103361-103361
Closed Access | Times Cited: 39
Gopal Chandra Jana, Anshuman Sabath, Anupam Agrawal
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103361-103361
Closed Access | Times Cited: 39