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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:

Deep Learning Classification of Neuro-Emotional Phase Domain Complexity Levels Induced by Affective Video Film Clips
Serap Aydın
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 6, pp. 1695-1702
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis
Yuntao Shou, Tao Meng, Wei Ai, et al.
Neurocomputing (2022) Vol. 501, pp. 629-639
Closed Access | Times Cited: 87
Classification of Contrasting Discrete Emotional States Indicated by EEG Based Graph Theoretical Network Measures
Berke Kılıç, Serap Aydın
Neuroinformatics (2022) Vol. 20, Iss. 4, pp. 863-877
Closed Access | Times Cited: 82
Deep learning models-based CT-scan image classification for automated screening of COVID-19
Kapil Gupta, Varun Bajaj
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104268-104268
Open Access | Times Cited: 70
Can Emotion Be Transferred?—A Review on Transfer Learning for EEG-Based Emotion Recognition
Wei Li, Wei Huan, Bowen Hou, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 3, pp. 833-846
Closed Access | Times Cited: 81
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 72
CRCCN-Net: Automated framework for classification of colorectal tissue using histopathological images
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104172-104172
Closed Access | Times Cited: 56
Transformer Model for Functional Near-Infrared Spectroscopy Classification
Zenghui Wang, Jun Zhang, Xiaochu Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 6, pp. 2559-2569
Closed Access | Times Cited: 46
An Investigation of Olfactory-Enhanced Video on EEG-Based Emotion Recognition
Minchao Wu, Wei Teng, Cunhang Fan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1602-1613
Open Access | Times Cited: 35
Cross-validated Adaboost Classification of Emotion Regulation Strategies Identified by Spectral Coherence in Resting-State
Serap Aydın
Neuroinformatics (2021) Vol. 20, Iss. 3, pp. 627-639
Closed Access | Times Cited: 45
Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition
Nastaran Saffaryazdi, Syed Talal Wasim, Kuldeep Dileep, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 29
Variational Phase-Amplitude Coupling Characterizes Signatures of Anterior Cortex Under Emotional Processing
Zhang Chu-ting, Chien-Hung Yeh, Wenbin Shi
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 4, pp. 1935-1945
Open Access | Times Cited: 18
Improved multi-layer binary firefly algorithm for optimizing feature selection and classification of microarray data
Weidong Xie, Linjie Wang, Kun Yu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104080-104080
Closed Access | Times Cited: 27
RTUNet: Residual transformer UNet specifically for pancreas segmentation
Chengjian Qiu, Zhe Liu, Yuqing Song, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104173-104173
Closed Access | Times Cited: 27
Semi-supervised EEG emotion recognition model based on enhanced graph fusion and GCN
Guangqiang Li, Ning Chen, Jing Jin
Journal of Neural Engineering (2022) Vol. 19, Iss. 2, pp. 026039-026039
Closed Access | Times Cited: 23
Robust zero-watermarking scheme based on a depthwise overparameterized VGG network in healthcare information security
Tongyuan Huang, Jia Xu, Shixin Tu, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104478-104478
Closed Access | Times Cited: 23
Emotion Recognition of Subjects With Hearing Impairment Based on Fusion of Facial Expression and EEG Topographic Map
Dahua Li, Jiayin Liu, Yi Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 437-445
Open Access | Times Cited: 22
Real-time gastric intestinal metaplasia diagnosis tailored for bias and noisy-labeled data with multiple endoscopic imaging
Passin Pornvoraphat, Kasenee Tiankanon, Rapat Pittayanon, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106582-106582
Closed Access | Times Cited: 14
Multi-view domain adaption based multi-scale convolutional conditional invertible discriminator for cross-subject electroencephalogram emotion recognition
Sivasaravana Babu S, Prabhu Venkatesan, V. Parthasarathy, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Emotion analysis of EEG signals using proximity-conserving auto-encoder (PCAE) and ensemble techniques
R. Mathumitha, A. Maryposonia
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Prediction of Reaction Time and Vigilance Variability From Spatio-Spectral Features of Resting-State EEG in a Long Sustained Attention Task
Mastaneh Torkamani-Azar, Sümeyra Demir Kanık, Serap Aydın, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 9, pp. 2550-2558
Open Access | Times Cited: 36
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images
Yan‐Wei Lee, Sheng-Kai Huang, Ruey‐Feng Chang
Artificial Intelligence in Medicine (2022) Vol. 132, pp. 102382-102382
Closed Access | Times Cited: 21
A novel deep ordinal classification approach for aesthetic quality control classification
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 14, pp. 11625-11639
Open Access | Times Cited: 20
Breast cancer classification by a new approach to assessing deep neural network-based uncertainty quantification methods
Fatemeh Hamedani-KarAzmoudehFar, Reza Tavakkoli‐Moghaddam, AmirReza Tajally, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104057-104057
Closed Access | Times Cited: 20
A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal
Haoyue Bai, Jiageng Mao, S.-H. Gary Chan
Neurocomputing (2022) Vol. 508, pp. 1-18
Open Access | Times Cited: 19
Incorporating EEG and fNIRS Patterns to Evaluate Cortical Excitability and MI-BCI Performance During Motor Training
Zhongpeng Wang, Yang Lu, Yijie Zhou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2872-2882
Open Access | Times Cited: 12
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