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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:

A Single-Channel EEG-Based Approach to Detect Mild Cognitive Impairment via Speech-Evoked Brain Responses
Saleha Khatun, Bashir I. Morshed, Gavin M. Bidelman
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 5, pp. 1063-1070
Open Access | Times Cited: 84

Showing 26-50 of 84 citing articles:

Study on cognitive impairment evaluation based on photoelectric neural information
Zehua Wang, Ye Zhang, Ning Ma, et al.
Journal of Alzheimer s Disease Reports (2025) Vol. 9
Open Access
The diagnosis of amnestic mild cognitive impairment by combining the characteristics of brain functional network and support vector machine classifier
Xin Li, Changjie Yang, Ping Xie, et al.
Journal of Neuroscience Methods (2021) Vol. 363, pp. 109334-109334
Closed Access | Times Cited: 25
A Review of Automated Techniques for Assisting the Early Detection of Alzheimer’s Disease with a Focus on EEG
Eduardo Perez‐Valero, M. A. López-Gordo, Christian Morillas, et al.
Journal of Alzheimer s Disease (2021) Vol. 80, Iss. 4, pp. 1363-1376
Closed Access | Times Cited: 24
Automatic Diagnosis of Mild Cognitive Impairment Based on Spectral, Functional Connectivity, and Nonlinear EEG-Based Features
Reza Akbari Movahed, M. Rezaeian
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 16
Supporting the Detection of Early Alzheimer’s Disease with a Four-Channel EEG Analysis
Eduardo Perez‐Valero, Christian Morillas, M. A. López-Gordo, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 04
Open Access | Times Cited: 10
An Automated Approach for the Detection of Alzheimer's Disease From Resting State Electroencephalography
Eduardo Perez‐Valero, Christian Morillas, M. A. López-Gordo, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 14
Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection
Md. Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 189-199
Open Access | Times Cited: 7
Adjunct Methods for Alzheimer’s Disease Detection: A Review of Auditory Evoked Potentials
Guoliang Wei, Tian Xue-long, Yang Hong, et al.
Journal of Alzheimer s Disease (2024) Vol. 97, Iss. 4, pp. 1503-1517
Closed Access | Times Cited: 2
S-ADL: Exploring Smartphone-based Activities of Daily Living to Detect Blood Alcohol Concentration in a Controlled Environment
Hansoo Lee, Auk Kim, Sang Won Bae, et al.
(2024), pp. 1-25
Open Access | Times Cited: 2
Prefrontal event-related potential markers in association with mild cognitive impairment
Joel Eyamu, Wuon‐Shik Kim, Kahye Kim, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 4
Speech as a Window to the Brain: Innovative Techniques in Early Alzheimer’s Disease Detection
Anass El Hallani, Adil Chakhtouna, Abdellah Adib
(2024), pp. 1-6
Closed Access | Times Cited: 1
Role of Artificial Intelligence in Cognitive Assessment and Early Detection of Alzheimer's Disease
Deepak Panwar, Parul Sharma, Shweta Sharma, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 190-210
Closed Access | Times Cited: 1
Electroencephalogram Signal Clustering With Convex Cooperative Games
Chenglong Dai, Jia Wu, Dechang Pi, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 34, Iss. 12, pp. 5755-5769
Closed Access | Times Cited: 10
MCI Detection Using Kernel Eigen-Relative-Power Features of EEG Signals
Yu-Tsung Hsiao, Chia‐Fen Tsai, Chien‐Te Wu, et al.
Actuators (2021) Vol. 10, Iss. 7, pp. 152-152
Open Access | Times Cited: 10
Single-Channel EEG Features Reveal an Association With Cognitive Decline in Seniors Performing Auditory Cognitive Assessment
Lior Molcho, Neta B. Maimon, Noa Regev-Plotnik, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 7
Cross-domain EEG signal classification via geometric preserving transfer discriminative dictionary learning
Xiaoqing Gu, Zongxuan Shen, Jia Qu, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 29, pp. 41733-41750
Closed Access | Times Cited: 9
Novel algorithm for detection of cognitive dysfunction using neural networks
Luz-María Sánchez, Juvenal Rodríguez‐Reséndiz, Gloria Nélida Avecilla Ramírez, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105853-105853
Closed Access | Times Cited: 3
Spectral analysis and Bi-LSTM deep network-based approach in detection of mild cognitive impairment from electroencephalography signals
Afrah Said, Hanife Göker
Cognitive Neurodynamics (2023) Vol. 18, Iss. 2, pp. 597-614
Closed Access | Times Cited: 3
Evaluation of Acute Tonic Cold Pain From Microwave Transcranial Transmission Signals Using Multi-Entropy Machine Learning Approach
Daoshuang Geng, Daoguo Yang, Miao Cai, et al.
IEEE Access (2019) Vol. 8, pp. 2780-2791
Open Access | Times Cited: 8
Diagnosis of Mild Cognitive Impairment With Ordinal Pattern Kernel
Kai Ma, Shuo Huang, Daoqiang Zhang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1030-1040
Open Access | Times Cited: 5
Impact of depressed state on attention and language processing during news broadcasts: EEG analysis and machine learning approach
Kohei Fuseda, Hiroki Watanabe, Atsushi Matsumoto, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Mild Cognitive Impairment Detection from EEG Signals Using Combination of EMD Decomposition and Machine Learning
Majid Aljalal, Saeed A. Aldosari, Marta Molinas, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 2
Dementia diagnosis with EEG using machine learning
Neelam Sharma, Maheshkumar H. Kolekar
Elsevier eBooks (2022), pp. 107-129
Closed Access | Times Cited: 4
Comparison of resting electroencephalogram coherence in patients with mild cognitive impairment and normal elderly subjects
Sugondo Hadiyoso, Inung Wijayanto, Suci Aulia
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 12, Iss. 2, pp. 1558-1558
Open Access | Times Cited: 3
CNN-Based Emotional Stress Classification using Smart Learning Dataset
Andreas Andreou, Constandinos X. Mavromoustakis, Houbing Song, et al.
2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) (2022), pp. 549-554
Closed Access | Times Cited: 3

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