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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:

Automated Emotion Identification Using Fourier–Bessel Domain-Based Entropies
Aditya Nalwaya, Kritiprasanna Das, Ram Bilas Pachori
Entropy (2022) Vol. 24, Iss. 10, pp. 1322-1322
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Wavelet transforms for feature engineering in EEG data processing: An application on Schizophrenia
Bethany Gosala, Pappu Dindayal Kapgate, Priyanka Jain, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104811-104811
Closed Access | Times Cited: 33
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
Fourier-Bessel representation for signal processing: A review
Pradeep Kumar Chaudhary, Vipin Gupta, Ram Bilas Pachori
Digital Signal Processing (2023) Vol. 135, pp. 103938-103938
Closed Access | Times Cited: 28
Deep time-frequency features and semi-supervised dimension reduction for subject-independent emotion recognition from multi-channel EEG signals
Behrooz Zali-Vargahan, Asghar Charmin, Hashem Kalbkhani, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104806-104806
Closed Access | Times Cited: 28
A Brain Network Analysis-Based Double Way Deep Neural Network for Emotion Recognition
W. D. Niu, Chao Ma, Xinlin Sun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 917-925
Open Access | Times Cited: 21
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
TFCNN-BiGRU with self-attention mechanism for automatic human emotion recognition using multi-channel EEG data
Essam H. Houssein, Asmaa Hammad, Nagwan Abdel Samee, et al.
Cluster Computing (2024) Vol. 27, Iss. 10, pp. 14365-14385
Closed Access | Times Cited: 5
A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition
Hanying Guo, Siying Chen, Yongjiang Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
EEG-based emotion recognition with autoencoder feature fusion and MSC-TimesNet model
Jibin Yin, Zhijian Qiao, Luyao Han, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-18
Closed Access
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
Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms
Hadeer Mohammed, Mohammed Diykh
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104923-104923
Open Access | Times Cited: 14
A spatiotemporal symmetrical transformer structure for EEG emotion recognition
Wei Zheng, Bo Pan
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105487-105487
Closed Access | Times Cited: 12
CEEMDAN fuzzy entropy based fatigue driving detection using single-channel EEG
Yunhe Liu, Zirui Xiang, Zhi-xin Yan, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106460-106460
Closed Access | Times Cited: 4
Spectral Graph Wavelet Transform-Based Feature Representation for Automated Classification of Emotions From EEG Signal
R. V. V. Krishna, Kritiprasanna Das, Hemant Kumar Meena, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 31229-31236
Closed Access | Times Cited: 11
Detection of Different Stages of Anxiety From Single-Channel Wearable ECG Sensor Signal Using Fourier–Bessel Domain Adaptive Wavelet Transform
Rajesh Kumar Tripathy, Dinesh Kumar Dash, Samit Kumar Ghosh, et al.
IEEE Sensors Letters (2023) Vol. 7, Iss. 5, pp. 1-4
Closed Access | Times Cited: 10
An innovative EEG-based emotion recognition using a single channel-specific feature from the brain rhythm code method
Jiawen Li, Di Lin, Yan Che, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9
Mental Workload Assessment using Low-Channel Prefrontal EEG Signals
Matin Beiramvand, Tarmo Lipping, Nina Karttunen, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023)
Closed Access | Times Cited: 8
EVNCERS: An Integrated Eigenvector Centrality-Variational Nonlinear Chirp Mode Decomposition-Based EEG Rhythm Separation for Automatic Emotion Recognition
Kranti S. Kamble, Joydeep Sengupta
IEEE Sensors Journal (2023) Vol. 23, Iss. 18, pp. 21661-21669
Closed Access | Times Cited: 8
An automated framework for human emotion detection from multichannel EEG signals
Aditya Nalwaya, Kritiprasanna Das, Ram Bilas Pachori
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20920-20927
Closed Access | Times Cited: 2
Micro-expression recognition based on EEG signals
Shiyuan Wang, Xingcong Zhao, Xiaomei Zeng, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105037-105037
Closed Access | Times Cited: 7
Assessment of Mental Workload Using a Transformer Network and Two Prefrontal EEG Channels: An Unparameterized Approach
Matin Beiramvand, Mohammad Shahbakhti, Nina Karttunen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Open Access | Times Cited: 2
MS-FTSCNN: An EEG emotion recognition method from the combination of multi-domain features
Feifei Li, Kuangrong Hao, Bing Wei, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105690-105690
Closed Access | Times Cited: 6
A systematic review of emotion recognition using cardio-based signals
Sharifah Noor Masidayu Sayed Ismail, Nor Azlina Ab. Aziz, Siti Zainab Ibrahim, et al.
ICT Express (2023) Vol. 10, Iss. 1, pp. 156-183
Open Access | Times Cited: 5
Deep Feature Extraction and Attention Fusion for Multimodal Emotion Recognition
Zhiyi Yang, Dahua Li, Fazheng Hou, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2023) Vol. 71, Iss. 3, pp. 1526-1530
Closed Access | Times Cited: 5
EEG Based Biometric Authentication System Using Multivariate FBSE Entropy
Sai Pranavi Kamaraju, Kritiprasanna Das, Ram Bilas Pachori
(2023)
Open Access | Times Cited: 4
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