Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Dementia Classification Framework Using Frequency and Time-Frequency Features Based on EEG Signals
Pholpat Durongbhan, Yifan Zhao, Liangyu Chen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 5, pp. 826-835
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Medical Health Big Data Classification Based on KNN Classification Algorithm
Wenchao Xing, Yilin Bei
IEEE Access (2019) Vol. 8, pp. 28808-28819
Open Access | Times Cited: 253
A hybrid deep neural network for classification of schizophrenia using EEG Data
Jie Sun, Rui Cao, Mengni Zhou, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 126
A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals
Siuly Siuly, Ömer Faruk Alçin, Enamul Kabir, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 9, pp. 1966-1976
Closed Access | Times Cited: 111
A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis
Reza Akbari Movahed, Gila Pirzad Jahromi, Shima Shahyad, et al.
Journal of Neuroscience Methods (2021) Vol. 358, pp. 109209-109209
Closed Access | Times Cited: 99
Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks
Waqar Hussain, Muhammad Tariq Sadiq, Siuly Siuly, et al.
Applied Acoustics (2021) Vol. 177, pp. 107941-107941
Closed Access | Times Cited: 70
Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review
Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 05, pp. 2130002-2130002
Closed Access | Times Cited: 66
Effects of Data Augmentation Method Borderline-SMOTE on Emotion Recognition of EEG Signals Based on Convolutional Neural Network
Yu Chen, Rui Chang, Jifeng Guo
IEEE Access (2021) Vol. 9, pp. 47491-47502
Open Access | Times Cited: 62
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection
Pramod Kachare, Digambar Puri, Sandeep B. Sangle, et al.
Physical and Engineering Sciences in Medicine (2024)
Closed Access | Times Cited: 8
Alzheimer’s disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study
Juan Wang, Jiamei Zhao, Xiaoling Chen, et al.
Frontiers in Aging Neuroscience (2025) Vol. 16
Open Access | Times Cited: 1
Impact of EEG Parameters Detecting Dementia Diseases: A Systematic Review
Luz-María Sánchez, Juvenal Rodríguez‐Reséndiz, Gloria Nélida Avecilla Ramírez, et al.
IEEE Access (2021) Vol. 9, pp. 78060-78074
Open Access | Times Cited: 54
A Survey on EEG Signal Processing Techniques and Machine Learning: Applications to the Neurofeedback of Autobiographical Memory Deficits in Schizophrenia
Miguel Á. Luján, María Verónica Jimeno Jiménez, Jorge Mateo, et al.
Electronics (2021) Vol. 10, Iss. 23, pp. 3037-3037
Open Access | Times Cited: 45
Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks
Digambar Puri, Sanjay L. Nalbalwar, Anil Nandgaonkar, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104439-104439
Closed Access | Times Cited: 35
Electrochemical Immunosensors Developed for Amyloid-Beta and Tau Proteins, Leading Biomarkers of Alzheimer’s Disease
Abhinav Sharma, Lúcio Angnes, N. Sattarahmady, et al.
Biosensors (2023) Vol. 13, Iss. 7, pp. 742-742
Open Access | Times Cited: 21
A rotating stall warning method for aero-engine compressor based on DeepESVDD-CNN
Hui-Jie Jin, Yong-Ping Zhao, Zhiqiang Wang
Aerospace Science and Technology (2023) Vol. 139, pp. 108411-108411
Closed Access | Times Cited: 16
Deep-Asymmetry: Asymmetry Matrix Image for Deep Learning Method in Pre-Screening Depression
Min Kang, Hyunjin Kwon, Jinhyeok Park, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6526-6526
Open Access | Times Cited: 45
Machine Learning Framework for Implementing Alzheimer’s Disease
Sivakani Rajayyan, Gufran Ahmad Ansari
(2020), pp. 0588-0592
Closed Access | Times Cited: 42
Fully automated discrimination of Alzheimer’s disease using resting-state electroencephalography signals
Yue Ding, Yinxue Chu, Meng Liu, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 12, Iss. 2, pp. 1063-1078
Open Access | Times Cited: 38
A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications
Will Ke Wang, I.-Yuan Chen, Leeor Hershkovich, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8016-8016
Open Access | Times Cited: 27
The development of an automated machine learning pipeline for the detection of Alzheimer’s Disease
Nicholas Chedid, Judie Tabbal, Aya Kabbara, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25
Machine learning classification of maladaptive rumination and cognitive distraction in terms of frequency specific complexity
Serap Aydın, Barış Akın
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103740-103740
Closed Access | Times Cited: 24
Artificial intelligence for dementia research methods optimization
Magda Bucholc, Charlotte James, Ahmad Al Khleifat, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5934-5951
Open Access | Times Cited: 15
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 14
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample Vicinity
Chengxuan Qin, Rui Yang, Mengjie Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3675-3686
Open Access | Times Cited: 14
A Multi-Modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease Using Three Paradigms With Various Task Difficulties
Sheng Chen, Chutian Zhang, Hongjun Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1456-1465
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top