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:

Detection of Alzheimer’s Dementia by Using Signal Decomposition and Machine Learning Methods
Özlem Karabiber Cura, Aydın Akan, Gülce Coşku Yılmaz, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 09
Closed Access | Times Cited: 18

Showing 18 citing articles:

Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism
Juan E. Arco, Andrés Ortíz, Nicolás J. Gallego-Molina, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 04
Open Access | Times Cited: 16

Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern
C. Jiménez-Mesa, Juan E. Arco, Meritxell Valentí‐Soler, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 04
Open Access | Times Cited: 13

Detection of Attention Deficit Hyperactivity Disorder based on EEG feature maps and deep learning
Özlem Karabiber Cura, Aydın Akan, Sibel Kocaaslan Atlı
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 450-460
Closed Access | Times Cited: 4

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

Alzheimer’s Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks
Francesco Mercaldo, Marcello Di Giammarco, Fabrizio Ravelli, et al.
International Journal of Neural Systems (2023) Vol. 34, Iss. 02
Closed Access | Times Cited: 3

Early Detection of Dementia Disease using Machine Learning
G.V. DEVAKI NANDAN, Ajanthaa Lakkshmanan, Mallidi Taraka Ammi Reddy
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access

Hybridization of Machine Learning Models for Alzheimers Disease Classification
Nirmala Devi A, M. Latha
Journal of Machine and Computing (2024), pp. 861-869
Open Access

possible scalable solution for Early detection of prodromal phase of dementia based on EEG complexity
Milena Čukić, Simon Anneheim, Patrick Eggenberger, et al.
Research Square (Research Square) (2024)
Open Access

Review on EEG-based Dementia Staging using Machine Learning
A Gopika, N. Suba Chandran, Mahi Sankar A G, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access

Detection of Alzheimer's Dementia Using Intrinsic Time Scale Decomposition of EEG Signals and Deep Learning
Sena Yagmur Sen, Özlem Karabiber Cura, Aydın Akan
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2023), pp. 93-98
Closed Access

Classification of Dementia EEG Signals by Using Time-Frequency Images for Deep Learning
Sena Yagmur Sen, Özlem Karabiber Cura, Aydın Akan
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2023), pp. 1-6
Closed Access

Combinations of EEG Topographic Feature Maps for the Classification of ADHD
Sude Pehlivan, Onur Akdemir, Özlem Karabiber Cura, et al.
(2023), pp. 1195-1199
Closed Access

Classification of ADHD by Using Multiple Feature Maps of EEG Signals and Deep Feature Extraction
Özlem Karabiber Cura, Sibel Kocaaslan Atlı, Sena Yagmur Sen, et al.
(2023), pp. 1065-1069
Closed Access

Detection of Attention Deficit Hyperactivity Disorder Using EEG Signals and Douglas—Peucker Algorithm
Özlem Karabiber Cura, Gamze N. Aydin, Sibel Celen, et al.
2020 Medical Technologies Congress (TIPTEKNO) (2022) Vol. 19, pp. 1-4
Closed Access

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