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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:

Enhancing EEG-Based Classification of Depression Patients Using Spatial Information
Chao Jiang, Yingjie Li, Yingying Tang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 566-575
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition
Hao Chen, Ming Jin, Zhunan Li, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 106
Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals
Hui Wen Loh, Chui Ping Ooi, Emrah Aydemir, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Closed Access | Times Cited: 73
Resting-State EEG Signal for Major Depressive Disorder Detection: A Systematic Validation on a Large and Diverse Dataset
Chien‐Te Wu, Hao-Chuan Huang, Shiuan Huang, et al.
Biosensors (2021) Vol. 11, Iss. 12, pp. 499-499
Open Access | Times Cited: 58
Automated accurate detection of depression using twin Pascal’s triangles lattice pattern with EEG Signals
Gülay TAŞCI, Hui Wen Loh, Prabal Datta Barua, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110190-110190
Closed Access | Times Cited: 57
Exploration of EEG-Based Depression Biomarkers Identification Techniques and Their Applications: A Systematic Review
Antora Dev, N. Roy, Md. Kafiul Islam, et al.
IEEE Access (2022) Vol. 10, pp. 16756-16781
Open Access | Times Cited: 56
DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network
Geetanjali Sharma, Amit M. Joshi, Richa Gupta, et al.
IEEE Access (2023) Vol. 11, pp. 52327-52338
Open Access | Times Cited: 27
IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things
Jian Chen, Yuzhu Hu, Qifeng Lai, et al.
Information Fusion (2023) Vol. 102, pp. 102017-102017
Closed Access | Times Cited: 25
Translation of neurotechnologies
Gerwin Schalk, Peter Brunner, Brendan Z. Allison, et al.
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 8, pp. 637-652
Closed Access | Times Cited: 15
EEG-based major depressive disorder recognition by neural oscillation and asymmetry
Xinyu Liu, Haoran Zhang, Yi Cui, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 8
From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications
Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, et al.
Brain Sciences (2025) Vol. 15, Iss. 3, pp. 220-220
Open Access | Times Cited: 1
Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 108-142
Closed Access | Times Cited: 51
Automated major depressive disorder detection using melamine pattern with EEG signals
Emrah Aydemir, Türker Tuncer, Şengül Doğan, et al.
Applied Intelligence (2021) Vol. 51, Iss. 9, pp. 6449-6466
Closed Access | Times Cited: 48
MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection
Tao Chen, Richang Hong, Yanrong Guo, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 12, pp. 7749-7759
Closed Access | Times Cited: 36
Scalp EEG-Based Pain Detection Using Convolutional Neural Network
Duo Chen, Haihong Zhang, Perumpadappil Thomas Kavitha, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 274-285
Open Access | Times Cited: 30
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
A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism
Zhongyi Zhang, Qing‐Hao Meng, Li-Cheng Jin, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122356-122356
Closed Access | Times Cited: 19
Cross-subject classification of depression by using multiparadigm EEG feature fusion
Jianli Yang, Zhen Zhang, Zhiyu Fu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 233, pp. 107360-107360
Closed Access | Times Cited: 17
A machine learning based depression screening framework using temporal domain features of the electroencephalography signals
Sheharyar Khan, Sanay Muhammad Umar Saeed, Jaroslav Frnda, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299127-e0299127
Open Access | Times Cited: 6
EEG based functional connectivity in resting and emotional states may identify major depressive disorder using machine learning
E. Earl, Manish Goyal, Shree Mishra, et al.
Clinical Neurophysiology (2024) Vol. 164, pp. 130-137
Closed Access | Times Cited: 6
GNN-Based Depression Recognition Using Spatio-Temporal Information: A fNIRS Study
Yu Qiao, Rui Wang, Jia Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 4925-4935
Closed Access | Times Cited: 26
Depression signal correlation identification from different EEG channels based on CNN feature extraction
Baiyang Wang, Yuyun Kang, Dongyue Huo, et al.
Psychiatry Research Neuroimaging (2022) Vol. 328, pp. 111582-111582
Closed Access | Times Cited: 24
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
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: 15
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012–2022)
S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, et al.
IEEE Access (2023) Vol. 11, pp. 71905-71924
Open Access | Times Cited: 15
Early detection of neurological abnormalities using a combined phase space reconstruction and deep learning approach
Amjed Al Fahoum, Ala’a Zyout
Intelligence-Based Medicine (2023) Vol. 8, pp. 100123-100123
Open Access | Times Cited: 15
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