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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-based classification of Alzheimer’s disease spectrum during computer-based cognitive testing
Seul Kee Kim, Hayom Kim, Sang Hee Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

Harnessing the potentials of machine learning models in Alzheimer's disease prediction and detection
Bhanu Priya, Pranav Gupta, Shantanu Singh
Elsevier eBooks (2025), pp. 259-267
Closed Access | Times Cited: 1
Early Diagnosis of Alzheimer’s Disease in Human Participants Using EEGConformer and Attention-Based LSTM During the Short Question Task
Seul Kee Kim, Jung Bin Kim, Hayom Kim, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 448-448
Open Access
Dual-Transformer Cross-Attention Framework for Alzheimer's Disease Detection Via Dpte-Guided Eeg Channel Selection and Multi-Modal Integration
Shyamal Y. Dharia, Qian Liu, Stephen M. Smith, et al.
(2025)
Closed Access
Early Detection of Patients with Mild Cognitive Impairment through EEG-SSVEP-based Machine Learning Model
Dohyun Kim, Jinseok Park, Hojin Choi, et al.
IEEE Access (2024) Vol. 12, pp. 172101-172114
Open Access | Times Cited: 1
ChatGPT and BCI-VR: a new integrated diagnostic and therapeutic perspective for the accurate diagnosis and personalized treatment of mild cognitive impairment
Yiduo Yao, Wan Zuha Wan Hasan, Wenlong Jiao, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning
Athar Al-azzawi, Saif Al‐jumaili, Adil Deniz Duru, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2170-e2170
Open Access
Temporal attention fusion network with custom loss function for EEG--fNIRS classification
Chayut Bunterngchit, Jiaxing Wang, Jianqiang Su, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 6, pp. 066016-066016
Closed Access
The utility of electroencephalographic measures in obsession compulsion disorder
Alireza Talesh Jafadideh, Mehdi Ejtehadi, Asghar Zarei, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107113-107113
Closed Access
Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024)
Madhav R. Acharya, Ravinesh C. Deo, Xiaohui Tao, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 259, pp. 108506-108506
Open Access
Machine learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer’s disease and normal aging
Ke Liao, Laura E. Martin, Sodiq Fakorede, et al.
Clinical Neurophysiology (2024) Vol. 170, pp. 1-13
Open Access
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