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:

Deep Learning-Based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli
Fangyu Zuo, Peiguang Jing, Jinglin Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2781-2793
Open Access | Times Cited: 13

Showing 13 citing articles:

Revolutionizing the Early Detection of Alzheimer’s Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning
Aristidis G. Vrahatis, Konstantina Skolariki, Marios G. Krokidis, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4184-4184
Open Access | Times Cited: 65

EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN
Aniqa Arif, Yihe Wang, Rui Yin, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1889-1889
Open Access | Times Cited: 10

Oculomics: Current Concepts and Evidence
Zhuoting Zhu, Yueye Wang, Ziyi Qi, et al.
Progress in Retinal and Eye Research (2025), pp. 101350-101350
Closed Access | Times Cited: 1

Insights from the eyes: a systematic review and meta-analysis of the intersection between eye-tracking and artificial intelligence in dementia
Mahdi Norouzi, Rahele Kafieh, Paul L. Chazot, et al.
Aging & Mental Health (2025), pp. 1-9
Closed Access

Global trends and prospects of ocular biomarkers in Alzheimer’s disease: a bibliometric analysis
Yufei Shen, Xiaoling Zhang, Congying Xu, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access

Transforming neurodegenerative disorder care with machine learning: Strategies and applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
Neuroscience (2025)
Closed Access

Eye tracking based detection of mild cognitive impairment: A review
Hasnain Ali Shah, Sultan Khalil, Sami Andberg, et al.
Information Fusion (2025), pp. 103202-103202
Open Access

ConjunctiveNet: an improved deep learning-based conjunctive-eyes segmentation and severity detection model
Seema Pahwa, Amandeep Kaur, Poonam Dhiman, et al.
International Journal of Intelligent Computing and Cybernetics (2024) Vol. 17, Iss. 4, pp. 783-804
Closed Access | Times Cited: 1

Bridging the Gap
R. Ravi, T. P. Sridevi, N. Nirmala Devi, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 1-26
Closed Access | Times Cited: 1

Deep learning techniques for Alzheimer's disease detection in 3D imaging: A systematic review
Zia‐ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, et al.
Health Science Reports (2024) Vol. 7, Iss. 9
Open Access

Construction of a prediction model for Alzheimer’s disease using an AI-driven eye-tracking task on mobile devices
Qinjie Li, Jiaxin Yan, Jianfeng Ye, et al.
Aging Clinical and Experimental Research (2024) Vol. 37, Iss. 1
Open Access

Applying the Eye-Tracking Method for the Classification of Neurological Disorders, Mental Diseases, and Speech Impairments Based on Machine Learning: an Overview
Marina A. Shurupova, Alina D. Aizenshtein, Sergey N. Chistiakov, et al.
(2023), pp. 160-164
Closed Access | Times Cited: 1

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