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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 31 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
Time–frequency time–space LSTM for robust classification of physiological signals
Tuan D. Pham
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 59
Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis
Hessa Alfalahi, Ahsan H. Khandoker, Nayeefa Chowdhury, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 45
A Dual-Modal Attention-Enhanced Deep Learning Network for Quantification of Parkinson’s Disease Characteristics
Yi Xia, Zhiming Yao, Qiang Ye, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 1, pp. 42-51
Closed Access | Times Cited: 67
Classification of short time series in early Parkinson s disease with deep learning of fuzzy recurrence plots
Tuan D. Pham, Karin Wårdell, Anders Eklund, et al.
IEEE/CAA Journal of Automatica Sinica (2019) Vol. 6, Iss. 6, pp. 1306-1317
Open Access | Times Cited: 65
Imbalanced ensemble learning in determining Parkinson’s disease using Keystroke dynamics
Soumen Roy, Utpal Roy, Devadatta Sinha, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119522-119522
Closed Access | Times Cited: 19
Exploring nonlinear dynamics in brain functionality through phase portraits and fuzzy recurrence plots
Qiang Li, Vince D. Calhoun, Tuan D. Pham, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 10
Open Access | Times Cited: 6
Classification of gait patterns between patients with Parkinson’s disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks
Wei Zeng, Chengzhi Yuan, Qinghui Wang, et al.
Neural Networks (2019) Vol. 111, pp. 64-76
Closed Access | Times Cited: 53
Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson’s disease
Kaiwen Deng, Yueming Li, Hanrui Zhang, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 24
Classification of Motor-Imagery Tasks Using a Large EEG Dataset by Fusing Classifiers Learning on Wavelet-Scattering Features
Tuan D. Pham
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1097-1107
Open Access | Times Cited: 14
Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms
Divya Sasidharan, V. Sowmya, E. A. Gopalakrishnan
Physical and Engineering Sciences in Medicine (2025)
Closed Access
Keystroke-Dynamics for Parkinson's Disease Signs Detection in an At-Home Uncontrolled Population: A New Benchmark and Method
Shikha Tripathi, Teresa Arroyo‐Gallego, Luca Giancardo
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 1, pp. 182-192
Closed Access | Times Cited: 20
Detection of Parkinson’s disease based on spectrograms of voice recordings and Extreme Learning Machine random weight neural networks
Renata Guatelli, Verónica I. Aubin, Marco Mora, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106700-106700
Closed Access | Times Cited: 12
A novel approach to identify parkinson’s disease and other similar neural stress by analysing keystrokes on modern active devices with ensemble classification
Soumen Roy, Utpal Roy, Devadatta Sinha, et al.
Multimedia Tools and Applications (2025)
Closed Access
Data-Driven Fault Diagnosis of Chemical Processes Based on Recurrence Plots
Hooman Ziaei-Halimejani, Reza Zarghami, Seyed Soheil Mansouri, et al.
Industrial & Engineering Chemistry Research (2021) Vol. 60, Iss. 7, pp. 3038-3055
Closed Access | Times Cited: 23
Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson’s Disease
Stefano Filippo Castiglia, Antonella Tatarelli, Dante Trabassi, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3449-3449
Open Access | Times Cited: 22
Rehabilomics: A state-of-the-art review of framework, application, and future considerations
Wenyue Cao, Xiuwei Zhang, Huaide Qiu
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 8
The Use of Smartphone Keystroke Dynamics to Passively Monitor Upper Limb and Cognitive Function in Multiple Sclerosis: Longitudinal Analysis
Ka‐Hoo Lam, James Twose, Birgit I. Lissenberg‐Witte, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 11, pp. e37614-e37614
Open Access | Times Cited: 13
A novel approach combining temporal and spectral features of Arabic online handwriting for Parkinson’s disease prediction
Ibtissame Aouraghe, Alae Ammour, Ghizlane Khaissidi, et al.
Journal of Neuroscience Methods (2020) Vol. 339, pp. 108727-108727
Closed Access | Times Cited: 17
Exploring Nonlinear Dynamics In Brain Functionality Through Phase Portraits And Fuzzy Recurrence Plots
Qiang Li, Vince D. Calhoun, Tuan D. Pham, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Classification of Radar Targets with Micro-Motion Based on RCS Sequences Encoding and Convolutional Neural Network
Xuguang Xu, Cunqian Feng, Lixun Han
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5863-5863
Open Access | Times Cited: 7
Feature Selection Based on Euclid Distance and Neuro-fuzzy System
Seok-Woo Jang, Sang-Hong Lee
Journal of Advances in Information Technology (2020), pp. 155-160
Open Access | Times Cited: 10
FedDBM: Federated Digital Biomarker for Detecting Parkinson’s Disease Progress
Yiqiang Chen, Xiaodong Yang, Yuting He, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2023), pp. 678-683
Closed Access | Times Cited: 2
Cognitive Writing Process Characteristics in Alzheimer’s Disease
Catherine Meulemans, Mariëlle Leijten, Luuk Van Waes, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 3
MELPD-Detector: Multi-level ensemble learning method based on adaptive data augmentation for Parkinson disease detection via free-KD
Yafang Yang, Bin Guo, Kaixing Zhao, et al.
CCF Transactions on Pervasive Computing and Interaction (2024) Vol. 6, Iss. 2, pp. 182-198
Closed Access
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