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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.

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Showing 1-25 of 46 citing articles:

Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature
Jie Mei, Christian Desrosiers, Johannes Frasnelli
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 268
The Impact of Artificial Intelligence in the Odyssey of Rare Diseases
Anna Visibelli, Bianca Roncaglia, Ottavia Spiga, et al.
Biomedicines (2023) Vol. 11, Iss. 3, pp. 887-887
Open Access | Times Cited: 50
Linking the cerebellum to Parkinson disease: an update
Tianbai Li, Weidong Le, Joseph Jankovic
Nature Reviews Neurology (2023) Vol. 19, Iss. 11, pp. 645-654
Closed Access | Times Cited: 43
Artificial intelligence for brain diseases: A systematic review
Alice Segato, Aldo Marzullo, Francesco Calimeri, et al.
APL Bioengineering (2020) Vol. 4, Iss. 4
Open Access | Times Cited: 123
Neuroimaging Advances in Parkinson's Disease and Atypical Parkinsonian Syndromes
Usman Saeed, Anthony E. Lang, Mario Masellis
Frontiers in Neurology (2020) Vol. 11
Open Access | Times Cited: 111
How should we be using biomarkers in trials of disease modification in Parkinson’s disease?
Nirosen Vijiaratnam, Thomas Foltynie
Brain (2023) Vol. 146, Iss. 12, pp. 4845-4869
Open Access | Times Cited: 21
Developing System-based Voice Features for Detecting Parkinson’s Disease Using Machine Learning Algorithms
Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani, Deepika Koundal
Deleted Journal (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 6
Functional Connectome in Parkinson’s Disease and Parkinsonism
Sule Tinaz
Current Neurology and Neuroscience Reports (2021) Vol. 21, Iss. 6
Open Access | Times Cited: 28
Functional connectome automatically differentiates multiple system atrophy (parkinsonian type) from idiopathic Parkinson's disease at early stages
Boyu Chen, Wenzhuo Cui, Shanshan Wang, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 6, pp. 2176-2190
Open Access | Times Cited: 12
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis
Wei Wang, Li Xiao, Gang Qu, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103144-103144
Closed Access | Times Cited: 4
Investigating resting-state functional connectivity changes within procedural memory network across neuropsychiatric disorders using fMRI
Mahdi Mohammadkhanloo, Mohammad Pooyan, Hamid Sharini, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Iron deposition is associated with motor and non-motor network breakdown in parkinsonism
Fangda Leng, Yue Gao, Fan Li, et al.
Frontiers in Aging Neuroscience (2025) Vol. 16
Open Access
Differentiation of multiple system atrophy from Parkinson’s disease by structural connectivity derived from probabilistic tractography
Alexandra Abós, Hugo C. Baggio, Bárbara Segura, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 33
Functional connectivity-based classification of rapid eye movement sleep behavior disorder
Toma Matsushima, Kenji Yoshinaga, Noritaka Wakasugi, et al.
Sleep Medicine (2024) Vol. 115, pp. 5-13
Open Access | Times Cited: 3
Radiomics on routine T1-weighted MRI can delineate Parkinson’s disease from multiple system atrophy and progressive supranuclear palsy
Priyanka Tupe-Waghmare, Archith Rajan, Shweta Prasad, et al.
European Radiology (2021) Vol. 31, Iss. 11, pp. 8218-8227
Closed Access | Times Cited: 23
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2708-2708
Open Access | Times Cited: 15
Multi-parametric radiomics of conventional T1 weighted and susceptibility-weighted imaging for differential diagnosis of idiopathic Parkinson’s disease and multiple system atrophy
Shuting Bu, Huize Pang, Xiaolu Li, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 8
Amplitude of low-frequency fluctuation-based regional radiomics similarity network: Biomarker for Parkinson’s disease
Dafa Shi, Zhendong Ren, Haoran Zhang, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14325-e14325
Open Access | Times Cited: 7
Multimodal striatal neuromarkers in distinguishing parkinsonian variant of multiple system atrophy from idiopathic Parkinson's disease
Huize Pang, Ziyang Yu, Hongmei Yu, et al.
CNS Neuroscience & Therapeutics (2022) Vol. 28, Iss. 12, pp. 2172-2182
Open Access | Times Cited: 12
Disrupted structural connectivity of fronto-deep gray matter pathways in progressive supranuclear palsy
Alexandra Abós, Bárbara Segura, Hugo C. Baggio, et al.
NeuroImage Clinical (2019) Vol. 23, pp. 101899-101899
Open Access | Times Cited: 16
The Reliability of Functional Brain Connectivity as a Biomarker in the Prediction of Suicide Risk in Neurodegenerative Disease Populations: A Literature Review
Natalie A. Bovin
Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal (2024) Vol. 8, Iss. 5, pp. 1-14
Open Access | Times Cited: 1
Cerebellar involvement in Parkinson’s disease: Pathophysiology and neuroimaging
Tao Qiu, Meichen Liu, Xinhui Qiu, et al.
Chinese Medical Journal (2024) Vol. 137, Iss. 20, pp. 2395-2403
Open Access | Times Cited: 1
Update on neuroimaging for categorization of Parkinson's disease and atypical parkinsonism
Lydia Chougar, Nadya Pyatigorskaya, Stéphane Lehéricy
Current Opinion in Neurology (2021) Vol. 34, Iss. 4, pp. 514-524
Closed Access | Times Cited: 10
A novel technique for classifying Parkinson’s disease using structural MRI scans
Ketna Khanna, Sapna Gambhir, Mohit Gambhir
Multimedia Tools and Applications (2023) Vol. 82, Iss. 29, pp. 46011-46036
Closed Access | Times Cited: 3
Elevated Levels of Serum Biomarkers Associated with Damage to the CNS Neurons and Endothelial Cells Are Linked with Changes in Brain Connectivity in Breast Cancer Patients with Vestibulo-Atactic Syndrome
A. E. Nikolaeva, М. Л. Поспелова, V. V. Krasnikova, et al.
Pathophysiology (2023) Vol. 30, Iss. 2, pp. 260-274
Open Access | Times Cited: 3
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