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:

Machine Learning and Similarity Network Approaches to Support Automatic Classification of Parkinson’s Diseases Using Accelerometer-based Gait Analysis
Elham Rastegari, Sasan Azizian, Hesham Ali
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2019)
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Machine-Learning Methods for Computational Science and Engineering
Michael Frank, Dimitris Drikakis, Vassilis Charissis
Computation (2020) Vol. 8, Iss. 1, pp. 15-15
Open Access | Times Cited: 160

Human Gait Analysis in Neurodegenerative Diseases: A Review
Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 229-242
Open Access | Times Cited: 133

Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69

Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters
Marta Isabel A.S.N Ferreira, Fábio Augusto Barbieri, Vinícius Christianini Moreno, et al.
Gait & Posture (2022) Vol. 98, pp. 49-55
Open Access | Times Cited: 45

Nanotechnology-based drug delivery for the treatment of CNS disorders
Khushi Mittal, Nandini Pharasi, Bhavya Sarna, et al.
Translational Neuroscience (2022) Vol. 13, Iss. 1, pp. 527-546
Open Access | Times Cited: 39

IoT-driven augmented reality and virtual reality systems in neurological sciences
Mehar Sahu, Rohan Gupta, Rashmi K. Ambasta, et al.
Internet of Things (2024) Vol. 25, pp. 101098-101098
Closed Access | Times Cited: 11

A Spectrogram-Based Deep Feature Assisted Computer-Aided Diagnostic System for Parkinson’s Disease
Laiba Zahid, Muazzam Maqsood, Mehr Yahya Durrani, et al.
IEEE Access (2020) Vol. 8, pp. 35482-35495
Open Access | Times Cited: 64

A Lightweight Attention-Based CNN Model for Efficient Gait Recognition with Wearable IMU Sensors
Haohua Huang, Pan Zhou, Ye Li, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2866-2866
Open Access | Times Cited: 52

Using recurrent neural networks for continuous authentication through gait analysis
Giacomo Giorgi, Andrea Saracino, Fabio Martinelli
Pattern Recognition Letters (2021) Vol. 147, pp. 157-163
Closed Access | Times Cited: 48

Gait Analysis in Neurorehabilitation: From Research to Clinical Practice
Mirjam Bonanno, Alessandro Marco De Nunzio, Angelo Quartarone, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 785-785
Open Access | Times Cited: 19

Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms
Alexander R. Podgorsak, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, et al.
Journal of NeuroInterventional Surgery (2019) Vol. 12, Iss. 4, pp. 417-421
Closed Access | Times Cited: 53

Early Detection of Parkinson’s Disease by Neural Network Models
Chin‐Hsien Lin, Fu‐Cheng Wang, Tien-Yun Kuo, et al.
IEEE Access (2022) Vol. 10, pp. 19033-19044
Open Access | Times Cited: 26

Detecting motor symptom fluctuations in Parkinson’s disease with generative adversarial networks
Vishwajith Ramesh, Erhan Bilal
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 23

Gait Recognition With Wearable Sensors Using Modified Residual Block-Based Lightweight CNN
Md. Al Mehedi Hasan, Fuad Al Abir, Md. Siam, et al.
IEEE Access (2022) Vol. 10, pp. 42577-42588
Open Access | Times Cited: 22

Enhancing gait pattern analysis with deep learning on image data
Manoj Kumar, Devendra Kumar Mishra, Vijay Bhaskar Semwal, et al.
AIP conference proceedings (2025) Vol. 3262, pp. 020018-020018
Closed Access

Psychological and physiological computing based on multi-dimensional foot information
Shengyang Li, Huilin Yao, Ruotian Peng, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access

Classifying Different Stages of Parkinson’s Disease Through Random Forests
Carlo Ricciardi, Marianna Amboni, Chiara De Santis, et al.
IFMBE proceedings (2019), pp. 1155-1162
Closed Access | Times Cited: 40

A Fuzzy Authentication System Based on Neural Network Learning and Extreme Value Statistics
Zhen Qin, Gu Huang, Hu Xiong, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 29, Iss. 3, pp. 549-559
Closed Access | Times Cited: 37

Parkinson's disease: Current drug therapy and unraveling the prospects of nanoparticles
Ankita Paul, Khushwant S. Yadav
Journal of Drug Delivery Science and Technology (2020) Vol. 58, pp. 101790-101790
Closed Access | Times Cited: 35

Gait Analysis for Early Neurodegenerative Diseases Classification Through the Kinematic Theory of Rapid Human Movements
Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo
IEEE Access (2020) Vol. 8, pp. 193966-193980
Open Access | Times Cited: 35

Parkinson Data Analysis and Prediction System Using Multi-Variant Stacked Auto Encoder
Gayathri Nagasubramanian, S. Muthuramalingam, Fadi Al‐Turjman, et al.
IEEE Access (2020) Vol. 8, pp. 127004-127013
Open Access | Times Cited: 29

Predicting Gait Parameters of Leg Movement with sEMG and Accelerometer Using CatBoost Machine Learning
Alok Kumar Sharma, Shing-Hong Liu, Xin Zhu, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1791-1791
Open Access | Times Cited: 3

PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models
Soroosh Shahtalebi, S. Farokh Atashzar, Olivia Samotus, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 25

Gait monitoring system for patients with Parkinson’s disease
Helena R. Gonçalves, Margarida Rodrigues, Cristina P. Santos
Expert Systems with Applications (2021) Vol. 185, pp. 115653-115653
Open Access | Times Cited: 22

A bag-of-words feature engineering approach for assessing health conditions using accelerometer data
Elham Rastegari, Hesham Ali
Smart Health (2020) Vol. 16, pp. 100116-100116
Closed Access | Times Cited: 16

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