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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:

Classification of Alzheimer’s Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data
Hyeju Jang, Thomas Soroski, Matteo Rizzo, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 17

Showing 17 citing articles:

Speech changes in old age: Methodological considerations for speech‐based discrimination of healthy ageing and Alzheimer's disease
Olga Ivanova, Israel Martínez‐Nicolás, Juan José García Meilán
International Journal of Language & Communication Disorders (2023) Vol. 59, Iss. 1, pp. 13-37
Open Access | Times Cited: 18
Feasibility of telephone and computerized cognitive testing as a secondary outcome in an acute stroke clinical trial: A mixed methods sub-study of the AcT Trial
Sajeevan Sujanthan, Pugaliya Puveendrakumaran, Katie N. Dainty, et al.
European Stroke Journal (2025)
Closed Access
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review
Guan Huang, Renjie Li, Quan Bai, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 11
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
Closed Access
Delayed and More Variable Unimanual and Bimanual Finger Tapping in Alzheimer’s Disease: Associations with Biomarkers and Applications for Classification
Vincent Koppelmans, Marit F. L. Ruitenberg, Sydney Y. Schaefer, et al.
Journal of Alzheimer s Disease (2023) Vol. 95, Iss. 3, pp. 1233-1252
Open Access | Times Cited: 10
Artificial intelligence in dementia
Alexander Richardson, Cason B. Robbins, C. Ellis Wisely, et al.
Current Opinion in Ophthalmology (2022) Vol. 33, Iss. 5, pp. 425-431
Closed Access | Times Cited: 11
Age-related changes in connected speech production: evidence from eye-tracking in the culturally adapted picture description task
Hyeri Lee, Yoomi Choi, Jee Eun Sung
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 1
Speech based detection of Alzheimer’s disease: a survey of AI techniques, datasets and challenges
Kewen Ding, Madhu Chetty, Azadeh Noori Hoshyar, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 1
Dementia Detection from Speech: What If Language Models Are Not the Answer?
Mondher Bouazizi, Chuheng Zheng, Siyuan Yang, et al.
Information (2023) Vol. 15, Iss. 1, pp. 2-2
Open Access | Times Cited: 3
AI-Driven Personalization to Support Human-AI Collaboration
Cristina Conati
(2024), pp. 5-6
Closed Access
Improving Synchronization of Eye Fixation and Saccade Measurements with Speech Recognition for Cognitive Assessment
Emma Boulay, Bruce Wallace, Kathleen Fraser, et al.
(2024), pp. 1-6
Closed Access
Leveraging Persistent Homology of Eye Movements for Neural Disorder Screening
Dongcheng He, Shaoying Wang, Haluk Öğmen
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Deep Stroop: Integrating eye tracking and speech processing to characterize people with neurodegenerative disorders while performing neuropsychological tests
Trevor Meyer, Anna Favaro, Esther S. Oh, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109398-109398
Closed Access
Association between Alzheimer's disease pathologic products and age and a pathologic product-based diagnostic model for Alzheimer's disease
Weizhe Zhen, Yu Wang, Hongjun Zhen, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access
Biomedical data analytics for better patient outcomes
Alireza Ghofrani, Hamed Taherdoost
Drug Discovery Today (2024), pp. 104280-104280
Closed Access
Deep Stroop: Using eye tracking and speech processing to characterize people with neurodegenerative disorders while performing the Stroop Test
Trevor Meyer, Anna Favaro, Tianyu Cao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
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
Overview of Artificial Intelligence Methods for Alzheimer’s Disease Prediction and Progression
Carmela Comito, Clara Pizzuti, Marcello Sammarra
(2023), pp. 22-29
Closed Access
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