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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:

Electroencephalography signals-based sparse networks integration using a fuzzy ensemble technique for depression detection
Surbhi Soni, Ayan Seal, Sraban Kumar Mohanty, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104873-104873
Closed Access | Times Cited: 22

Showing 22 citing articles:

Feature extraction based on sparse graphs embedding for automatic depression detection
Jitao Zhong, Wenyan Du, Lu Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105257-105257
Closed Access | Times Cited: 14
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: 14
EDT: An EEG-based attention model for feature learning and depression recognition
Ming Ying, Xuexiao Shao, Jing Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106182-106182
Closed Access | Times Cited: 4
Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review
Kholoud Elnaggar, M. M. El-Gayar, Mohammed Elmogy
Diagnostics (2025) Vol. 15, Iss. 2, pp. 210-210
Open Access
The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization
Fuze Tian, Lixian Zhu, Qiuxia Shi, et al.
IEEE Transactions on Biomedical Circuits and Systems (2023) Vol. 17, Iss. 6, pp. 1305-1318
Closed Access | Times Cited: 10
Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks
Ali Sam, Reza Boostani, Sara Hashempour, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4725-4737
Open Access | Times Cited: 7
Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis
Haijun Lin, Jing Fang, Junpeng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6815-6815
Open Access | Times Cited: 2
A novel study for depression detecting using audio signals based on graph neural network
Chenjian Sun, Min Jiang, Linlin Gao, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105675-105675
Closed Access | Times Cited: 6
Achieving EEG-based depression recognition using Decentralized-Centralized structure
Xuexiao Shao, Ming Ying, Jing Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106402-106402
Closed Access | Times Cited: 1
Graph signal processing and graph learning approaches to Schizophrenia pattern identification in brain Electroencephalogram
Subrata Pain, Monalisa Sarma, Debasis Samanta
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106954-106954
Closed Access | Times Cited: 1
Deep Learning for Epileptic Seizure Detection Using a Causal-Spatio-Temporal Model Based on Transfer Entropy
Jie Sun, Jie Xiang, Yanqing Dong, et al.
Entropy (2024) Vol. 26, Iss. 10, pp. 853-853
Open Access | Times Cited: 1
Towards Implementation of Emotional Intelligence in Human–Machine Collaborative Systems
Miroslav Markov, Yasen Kalinin, Valentina Markova, et al.
Electronics (2023) Vol. 12, Iss. 18, pp. 3852-3852
Open Access | Times Cited: 2
Automatic diagnosis of depression based on attention mechanism and feature pyramid model
Ningya Xu, Hua Huo, Jiaxin Xu, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0295051-e0295051
Open Access
Fuzzy Artificial Intelligence as a Technique to Find Relative Desirability for Fake Review Detection
A. Firos, Seema Khanum
(2024), pp. 305-321
Closed Access
Screening, Prediction and Remission of Depressive Disorder Using the Fuzzy Probability Function and Petri Net
Hsiu‐Sen Chiang, Mu‐Yen Chen
Studies in big data (2024), pp. 163-187
Closed Access
Ethical Considerations in Using Fuzzy Artificial Intelligence for Detecting Fake Reviews
A. Firos, Seema Khanum
Advances in human and social aspects of technology book series (2024), pp. 283-302
Closed Access
MDD diagnosis based on EEG feature fusion and improved feature selection
Wan Chen, Yanping Cai, Aihua Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107271-107271
Closed Access
Depression Diagnosis Using Optimization of Nonlinear EEG Features Based on Parametric Learning Tactics
Ali Asadi Zeidabadi, Melika Changizi, Mahdi Zolfagharzadeh Kermani, et al.
(2024), pp. 031-037
Closed Access
A Local-Global Graph Convolutional Network for Depression Recognition using EEG Signals
Yu Chen, Xiuxiu Hu, Xia Li-hua
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 7
Open Access | Times Cited: 1
Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks
Ali Sam, Reza Boostani, Mahsa Taghavi, et al.
(2023)
Open Access
Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks
Ali Sam, Reza Boostani, Mahsa Taghavi, et al.
(2023)
Open Access
Attention-Based VGG-Residual-Inception Module for EEG-Based Depression Detection
Gautam Verma, Mohan Karnati, Malay Kishore Dutta, et al.
(2023), pp. 33-37
Closed Access
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