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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:

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

Showing 51-75 of 198 citing articles:

Calibration free meta learning based approach for subject independent EEG emotion recognition
Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103289-103289
Closed Access | Times Cited: 34
Generator-based Domain Adaptation Method with Knowledge Free for Cross-subject EEG Emotion Recognition
Dongmin Huang, Sijin Zhou, Dazhi Jiang
Cognitive Computation (2022) Vol. 14, Iss. 4, pp. 1316-1327
Closed Access | Times Cited: 24
EEG-based emotion recognition using a temporal-difference minimizing neural network
Xiangyu Ju, Ming Li, Wenli Tian, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 2, pp. 405-416
Open Access | Times Cited: 15
Pre-training in Medical Data: A Survey
Yixuan Qiu, Feng‐Huei Lin, Weitong Chen, et al.
Deleted Journal (2023) Vol. 20, Iss. 2, pp. 147-179
Open Access | Times Cited: 14
Simplified 2D CNN Architecture With Channel Selection for Emotion Recognition Using EEG Spectrogram
Lia Farokhah, Riyanarto Sarno, Chastine Fatichah
IEEE Access (2023) Vol. 11, pp. 46330-46343
Open Access | Times Cited: 13
A Model for EEG-Based Emotion Recognition: CNN-Bi-LSTM with Attention Mechanism
Zhentao Huang, Yahong Ma, Rongrong Wang, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3188-3188
Open Access | Times Cited: 13
Real-Time EEG-Based Emotion Recognition
Xiangkun Yu, Zhengjie Li, Zhibang Zang, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7853-7853
Open Access | Times Cited: 13
Electroencephalogram-based emotion recognition using factorization temporal separable convolution network
Lijun Yang, Yixin Wang, Rujie Ouyang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108011-108011
Closed Access | Times Cited: 4
Elevating metaverse virtual reality experiences through network‐integrated neuro‐fuzzy emotion recognition and adaptive content generation algorithms
Oshamah Ibrahim Khalaf, Dhamodharan Srinivasan, Sameer Algburi, et al.
Engineering Reports (2024) Vol. 6, Iss. 11
Open Access | Times Cited: 4
DFrFT-ES model for emotion recognition based on fractional Fourier transform of EEG signals
Shanshan Yang, Wei Wang, P.L. Mao, et al.
(2025), pp. 34-34
Closed Access
A comparative study of time–frequency features based spatio-temporal analysis with varying multiscale kernels for emotion recognition from EEG
Md Raihan Khan, Airin Akter Tania, Mohiuddin Ahmad
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107826-107826
Closed Access
Zero-Shot Learning for EEG Classification in Motor Imagery-Based BCI System
Lili Duan, Jie Li, Hongfei Ji, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 11, pp. 2411-2419
Closed Access | Times Cited: 32
Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation
Natalia Browarska, Aleksandra Kawala-Sterniuk, Jarosław Zygarlicki, et al.
Brain Sciences (2021) Vol. 11, Iss. 1, pp. 98-98
Open Access | Times Cited: 29
EEG-based emotion recognition with cascaded convolutional recurrent neural networks
Ming Meng, Yu Zhang, MA Yu-liang, et al.
Pattern Analysis and Applications (2023) Vol. 26, Iss. 2, pp. 783-795
Closed Access | Times Cited: 11
A convolutional recurrent neural network with attention for response prediction to repetitive transcranial magnetic stimulation in major depressive disorder
Mohsen Sadat Shahabi, Ahmad Shalbaf, Reza Rostami, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
SEER-net: Simple EEG-based Recognition network
Dongyang Kuang, Craig Michoski
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104620-104620
Closed Access | Times Cited: 10
Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia
Nooshin Bahador, Jari Jokelainen, Seppo Mustola, et al.
Information Fusion (2021) Vol. 73, pp. 125-143
Open Access | Times Cited: 23
BCI Wheelchair Control Using Expert System Classifying EEG Signals Based on Power Spectrum Estimation and Nervous Tics Detection
Dawid Pawuś, Szczepan Paszkiel
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10385-10385
Open Access | Times Cited: 18
EEG-based Emotion Recognition Using Multiple Kernel Learning
Qian Cai, Guo-Chong Cui, Haixian Wang
Deleted Journal (2022) Vol. 19, Iss. 5, pp. 472-484
Closed Access | Times Cited: 17
The Application of Integration of EEG Signals for Authorial Classification Algorithms in Implementation for a Mobile Robot Control Using Movement Imagery—Pilot Study
Dawid Pawuś, Szczepan Paszkiel
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2161-2161
Open Access | Times Cited: 16
Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models
Chia‐Yen Yang, Pin-Chen Chen, Wen-Chen Huang
Sensors (2023) Vol. 23, Iss. 5, pp. 2458-2458
Open Access | Times Cited: 9
EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects
Longxin Yao, Mingjiang Wang, Yun Lu, et al.
Entropy (2021) Vol. 23, Iss. 8, pp. 984-984
Open Access | Times Cited: 20
Application of Electroencephalography-Based Machine Learning in Emotion Recognition: A Review
Jing Cai, Ruolan Xiao, Wenjie Cui, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 20
M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity
Sumya Akter, Rumman Ahmed Prodhan, Tanmoy Sarkar Pias, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8467-8467
Open Access | Times Cited: 14
Easy Domain Adaptation for cross-subject multi-view emotion recognition
Chuangquan Chen, Chi‐Man Vong, Shitong Wang, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107982-107982
Closed Access | Times Cited: 18

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