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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:

Gait analysis and clinical correlations in early Parkinson�s disease
Michele Pistacchi
Functional Neurology (2017) Vol. 32, Iss. 1, pp. 28-28
Open Access | Times Cited: 218

Showing 1-25 of 218 citing articles:

Gait impairments in Parkinson's disease
Anat Mirelman, Paolo Bonato, Richard Camicioli, et al.
The Lancet Neurology (2019) Vol. 18, Iss. 7, pp. 697-708
Closed Access | Times Cited: 545
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maâchi, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Expert Systems with Applications (2019) Vol. 143, pp. 113075-113075
Open Access | Times Cited: 208
Do spatiotemporal parameters and gait variability differ across the lifespan of healthy adults? A systematic review
Nolan Herssens, Evi Verbecque, Ann Hallemans, et al.
Gait & Posture (2018) Vol. 64, pp. 181-190
Open Access | Times Cited: 196
Gait Analysis in Parkinson’s Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring
Lazzaro di Biase, Alessandro Di Santo, Maria Letizia Caminiti, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3529-3529
Open Access | Times Cited: 163
Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies
Abdul Aziz Hulleck, Dhanya Menoth Mohan, Nada Abdallah, et al.
Frontiers in Medical Technology (2022) Vol. 4
Open Access | Times Cited: 96
A Comprehensive Review on AI-Enabled Models for Parkinson’s Disease Diagnosis
Shriniket Dixit, Khitij Bohre, Yashbir Singh, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 783-783
Open Access | Times Cited: 46
Gait analysis in neurological populations: Progression in the use of wearables
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Medical Engineering & Physics (2020) Vol. 87, pp. 9-29
Open Access | Times Cited: 124
Neurological disorders of gait, balance and posture: a sign-based approach
Jorik Nonnekes, Rianne J.M. Goselink, Evžen Růžička, et al.
Nature Reviews Neurology (2018) Vol. 14, Iss. 3, pp. 183-189
Closed Access | Times Cited: 111
Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning–based 2D pose estimator
Kenichiro Sato, Yu Nagashima, Tatsuo Mano, et al.
PLoS ONE (2019) Vol. 14, Iss. 11, pp. e0223549-e0223549
Open Access | Times Cited: 76
Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning
Anat Mirelman, Mor Ben Or Frank, Michal L. Melamed, et al.
Movement Disorders (2021) Vol. 36, Iss. 9, pp. 2144-2155
Closed Access | Times Cited: 59
Recent Approaches on Classification and Feature Extraction of EEG Signal: A Review
Pooja Sharma, SK Pahuja, Karan Veer
Robotica (2021) Vol. 40, Iss. 1, pp. 77-101
Closed Access | Times Cited: 57
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Yao Guo, Jianxin Yang, Yuxuan Liu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 38
Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems
Verônica Cimolin, Luca Vismara, Claudia Ferraris, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 824-824
Open Access | Times Cited: 37
Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review
Vasileios Skaramagkas, Anastasia Pentari, Zinovia Kefalopoulou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2399-2423
Open Access | Times Cited: 31
Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
Luka Jovanovic, Robertas Damaševičius, Rade Matić, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2031-e2031
Open Access | Times Cited: 8
Periodic Distribution Entropy: Unveiling the complexity of physiological time series through multidimensional dynamics
Xiao Yu, Weimin Li, Bing Yang, et al.
Information Fusion (2024) Vol. 108, pp. 102391-102391
Closed Access | Times Cited: 7
Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson’s Disease
Rekha Viswanathan, Sridhar P. Arjunan, Adrian Bingham, et al.
Biosensors (2019) Vol. 10, Iss. 1, pp. 1-1
Open Access | Times Cited: 65
Role of Wearable Sensors with Machine Learning Approaches in Gait Analysis for Parkinson's Disease Assessment: A Review
Aishwarya Balakrishnan, Jeevan Medikonda, Pramod K. Namboothiri, et al.
Engineered Science (2022)
Open Access | Times Cited: 36
Does the 5–2-1 criteria identify patients with advanced Parkinson's disease? Real-world screening accuracy and burden of 5–2-1-positive patients in 7 countries
Irene A. Malaty, Pablo Martínez‐Martín, К. Ray Chaudhuri, et al.
BMC Neurology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 30
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: 18
An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks
Farhad Abedinzadeh Torghabeh, Yeganeh Modaresnia, Seyyed Abed Hosseini
Medicine in Novel Technology and Devices (2024) Vol. 22, pp. 100297-100297
Open Access | Times Cited: 5
Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model
Xiaolong Wu, Lin Ma, Penghu Wei, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 5
Muscle Synergy Analysis as a Tool for Assessing the Effectiveness of Gait Rehabilitation Therapies: A Methodological Review and Perspective
Daniele Borzelli, Cristiano De Marchis, Angelica Quercia, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 793-793
Open Access | Times Cited: 5
Hybrid Convtranslstm for Spatio-Temporal Classification: Identifying Early Parkinson's Disease from Gait Patterns
Muhammad Izzuddin Mahali, Cries Avian, Nur Achmad Sulistyo Putro, et al.
(2025)
Closed Access
Narrow-based gait in people with Parkinson's disease: Its mechanisms explored
Jamie A.F. Jansen, T J W Buurke, Lotte van de Venis, et al.
Journal of Parkinson s Disease (2025)
Open Access
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