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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:

A Novel Approach for EEG Electrode Selection in Automated Emotion Recognition Based on Lagged Poincare’s Indices and sLORETA
Ateke Goshvarpour, Atefeh Goshvarpour
Cognitive Computation (2019) Vol. 12, Iss. 3, pp. 602-618
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A novel explainable machine learning approach for EEG-based brain-computer interface systems
Cosimo Ieracitano, Nadia Mammone, Amir Hussain, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 14, pp. 11347-11360
Closed Access | Times Cited: 91
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition
Yong Peng, Feiwei Qin, Wanzeng Kong, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 3, pp. 935-947
Closed Access | Times Cited: 61
Emotion recognition using spatial-temporal EEG features through convolutional graph attention network
Zhongjie Li, Gaoyan Zhang, Longbiao Wang, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 1, pp. 016046-016046
Open Access | Times Cited: 32
Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy
Wei Li, Zhen Zhang, Aiguo Song
Measurement (2020) Vol. 172, pp. 108747-108747
Closed Access | Times Cited: 67
EEG channel selection-based binary particle swarm optimization with recurrent convolutional autoencoder for emotion recognition
Najwa Kouka, Rahma Fourati, Raja Fdhila, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104783-104783
Closed Access | Times Cited: 19
Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures
Giuseppe Varone, Zain Hussain, Zakariya Sheikh, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 637-637
Open Access | Times Cited: 30
Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes
Juan A. Ramírez-Quintana, Luis Madrid-Herrera, Mario I. Chacón-Murguía, et al.
Cognitive Computation (2020) Vol. 13, Iss. 1, pp. 108-124
Closed Access | Times Cited: 28
EEG emotion recognition based on an innovative information potential index
Atefeh Goshvarpour, Ateke Goshvarpour
Cognitive Neurodynamics (2024) Vol. 18, Iss. 5, pp. 2177-2191
Closed Access | Times Cited: 3
EEG-Based Emotion Recognition of Deaf Subjects by Integrated Genetic Firefly Algorithm
Zekun Tian, Dahua Li, Yu Song, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Open Access | Times Cited: 22
A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues
Awf Abdulrahman, Muhammet Baykara
Traitement du signal (2021) Vol. 38, Iss. 4, pp. 1189-1200
Open Access | Times Cited: 21
Novel high-dimensional phase space features for EEG emotion recognition
Atefeh Goshvarpour, Ateke Goshvarpour
Signal Image and Video Processing (2022) Vol. 17, Iss. 2, pp. 417-425
Closed Access | Times Cited: 15
Evaluation of Novel Entropy-Based Complex Wavelet Sub-bands Measures of PPG in an Emotion Recognition System
Atefeh Goshvarpour, Ateke Goshvarpour
Journal of Medical and Biological Engineering (2020) Vol. 40, Iss. 3, pp. 451-461
Closed Access | Times Cited: 23
Long-range correlation analysis of high frequency prefrontal electroencephalogram oscillations for dynamic emotion recognition
Zhilin Gao, Xingran Cui, Wang Wan, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103291-103291
Closed Access | Times Cited: 19
Schizophrenia Diagnosis by Weighting the Entropy Measures of the Selected EEG Channel
Atefeh Goshvarpour, Ateke Goshvarpour
Journal of Medical and Biological Engineering (2022) Vol. 42, Iss. 6, pp. 898-908
Closed Access | Times Cited: 13
Cross-Subject Channel Selection Using Modified Relief and Simplified CNN-Based Deep Learning for EEG-Based Emotion Recognition
Lia Farokhah, Riyanarto Sarno, Chastine Fatichah
IEEE Access (2023) Vol. 11, pp. 110136-110150
Open Access | Times Cited: 7
Lemniscate of Bernoulli’s map quantifiers: innovative measures for EEG emotion recognition
Atefeh Goshvarpour, Ateke Goshvarpour
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 1061-1077
Closed Access | Times Cited: 6
Boron and nitrogen co-doped vertical graphene electrodes for scalp electroencephalogram recording
Pengfei Zhai, Xiuwei Xuan, Hongji Li, et al.
Carbon (2021) Vol. 189, pp. 71-80
Closed Access | Times Cited: 15
Automated accurate emotion classification using Clefia pattern-based features with EEG signals
Abdullah Dogan, Prabal Datta Barua, Mehmet Bayğın, et al.
International Journal of Healthcare Management (2022) Vol. 17, Iss. 1, pp. 32-45
Closed Access | Times Cited: 10
Innovative Poincare’s plot asymmetry descriptors for EEG emotion recognition
Atefeh Goshvarpour, Ateke Goshvarpour
Cognitive Neurodynamics (2021) Vol. 16, Iss. 3, pp. 545-559
Open Access | Times Cited: 13
Emotion Recognition Using a Novel Granger Causality Quantifier and Combined Electrodes of EEG
Atefeh Goshvarpour, Ateke Goshvarpour
Brain Sciences (2023) Vol. 13, Iss. 5, pp. 759-759
Open Access | Times Cited: 4
AN OPTIMIZED RESIDUAL NETWORK FOR EMOTION RECOGNITION BASED ON A MULTI-FEATURES FUSION TECHNOLOGY AND ELECTROENCEPHALOGRAPHY SIGNALS
E. Miao Jin, Qinyong Wang, Pei-yu Chen, et al.
Journal of Mechanics in Medicine and Biology (2024) Vol. 24, Iss. 02
Open Access | Times Cited: 1
Asymmetric measures of polar Chebyshev chaotic map for discrete/dimensional emotion recognition using PPG
Atefeh Goshvarpour, Ateke Goshvarpour
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107089-107089
Closed Access | Times Cited: 1
Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals
Beatriz García-Martínez, Antonio Fernández‐Caballero, Raúl Alcaraz, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 3, pp. 1179-1187
Closed Access | Times Cited: 9
Self- and Situation-Focused Reappraisal are not homogeneous: Evidence from behavioral and brain networks
Yan Sun, Yuanyuan Xu, Jiaojiao Lv, et al.
Neuropsychologia (2022) Vol. 173, pp. 108282-108282
Closed Access | Times Cited: 6
Channel Contributions of EEG in Emotion Modelling Based on Multivariate Adaptive Orthogonal Signal Decomposition
Pınar Özel, Aydın Akan
IETE Journal of Research (2021) Vol. 69, Iss. 6, pp. 3083-3094
Closed Access | Times Cited: 7
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