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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:

A clinical view on the development of technology-based tools in managing Parkinson's disease
Walter Maetzler, Jochen Klucken, Malcolm Horne
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1263-1271
Closed Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Bahar Farahani, Farshad Firouzi, Victor Chang, et al.
Future Generation Computer Systems (2017) Vol. 78, pp. 659-676
Open Access | Times Cited: 890
Wearable sensors objectively measure gait parameters in Parkinson’s disease
Johannes C. M. Schlachetzki, Jens Barth, Franz Marxreiter, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0183989-e0183989
Open Access | Times Cited: 296
Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial
Florian Lipsmeier, Kirsten I. Taylor, Timothy Kilchenmann, et al.
Movement Disorders (2018) Vol. 33, Iss. 8, pp. 1287-1297
Open Access | Times Cited: 229
AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices
Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 15, pp. 13041-13051
Open Access | Times Cited: 109
New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson’s disease
Rohan Gupta, Smita Kumari, Anusha Senapati, et al.
Ageing Research Reviews (2023) Vol. 90, pp. 102013-102013
Closed Access | Times Cited: 54
Normative Database of Spatiotemporal Gait Metrics Across Age Groups: An Observational Case–Control Study
Lianne Koinis, Vinuja Fernando, R. Dineth Fonseka, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 581-581
Open Access | Times Cited: 2
An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring
Bjoern M. Eskofier, Sung-Hoon Lee, Manuela Baron, et al.
Applied Sciences (2017) Vol. 7, Iss. 10, pp. 986-986
Open Access | Times Cited: 137
Inertial Sensors to Assess Gait Quality in Patients with Neurological Disorders: A Systematic Review of Technical and Analytical Challenges
Aliénor Vienne, Rémi Barrois, Stéphane Buffat, et al.
Frontiers in Psychology (2017) Vol. 8
Open Access | Times Cited: 134
The First Frontier: Digital Biomarkers for Neurodegenerative Disorders
E. Ray Dorsey, Spyros Papapetropoulos, Mulin Xiong, et al.
Digital Biomarkers (2017) Vol. 1, Iss. 1, pp. 6-13
Open Access | Times Cited: 131
Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device
Nikhil Mahadevan, Charmaine Demanuele, Hao Zhang, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 114
High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing
Warwick R. Adams
PLoS ONE (2017) Vol. 12, Iss. 11, pp. e0188226-e0188226
Open Access | Times Cited: 108
New Sensor and Wearable Technologies to Aid in the Diagnosis and Treatment Monitoring of Parkinson's Disease
Mariana H.G. Monje, Guglielmo Foffani, José Á. Obeso, et al.
Annual Review of Biomedical Engineering (2019) Vol. 21, Iss. 1, pp. 111-143
Open Access | Times Cited: 103
Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson’s Disease and Older Adults Using an Inertial Measurement Unit at the Lower Back
Minh H. Pham, Morad Elshehabi, Linda Haertner, et al.
Frontiers in Neurology (2017) Vol. 8
Open Access | Times Cited: 94
Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors
Luis Sigcha, Nélson Costa, Ignacio Pavón García, et al.
Sensors (2020) Vol. 20, Iss. 7, pp. 1895-1895
Open Access | Times Cited: 93
Body-Worn Sensors for Remote Monitoring of Parkinson’s Disease Motor Symptoms: Vision, State of the Art, and Challenges Ahead
Silvia Del Din, Cameron Kirk, Alison J. Yarnall, et al.
Journal of Parkinson s Disease (2021) Vol. 11, Iss. s1, pp. S35-S47
Open Access | Times Cited: 73
Automatic Resting Tremor Assessment in Parkinson’s Disease Using Smartwatches and Multitask Convolutional Neural Networks
Luis Sigcha, Ignacio Pavón García, Nélson Costa, et al.
Sensors (2021) Vol. 21, Iss. 1, pp. 291-291
Open Access | Times Cited: 60
Transfer Learning for Human Activity Recognition Using Representational Analysis of Neural Networks
Sizhe An, Ganapati Bhat, Suat Gümüşsoy, et al.
ACM Transactions on Computing for Healthcare (2023) Vol. 4, Iss. 1, pp. 1-21
Open Access | Times Cited: 36
Machine Learning in the Parkinson’s disease smartwatch (PADS) dataset
Julian Varghese, Alexander Brenner, Michael Fujarski, et al.
npj Parkinson s Disease (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art
Jules M. Janssen Daalen, Robin van den Bergh, Eva M. Prins, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Classification of advanced stages of Parkinson’s disease: translation into stratified treatments
Rejko Krüger, Jochen Klucken, Daniel Weiß, et al.
Journal of Neural Transmission (2017) Vol. 124, Iss. 8, pp. 1015-1027
Open Access | Times Cited: 83
Viewpoint and practical recommendations from a movement disorder specialist panel on objective measurement in the clinical management of Parkinson’s disease
Per Odin, К. Ray Chaudhuri, Jens Volkmann, et al.
npj Parkinson s Disease (2018) Vol. 4, Iss. 1
Open Access | Times Cited: 77
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease
Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, et al.
Sensors (2018) Vol. 18, Iss. 1, pp. 145-145
Open Access | Times Cited: 71
A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer
Satyabrata Aich, Pyari Mohan Pradhan, Jinse Park, et al.
Sensors (2018) Vol. 18, Iss. 10, pp. 3287-3287
Open Access | Times Cited: 71
Analysis of Correlation between an Accelerometer-Based Algorithm for Detecting Parkinsonian Gait and UPDRS Subscales
Alejandro Rodríguez‐Molinero, Albert Samà, Carlos Pérez‐López, et al.
Frontiers in Neurology (2017) Vol. 8
Open Access | Times Cited: 67
Digital health technology for non-motor symptoms in people with Parkinson's disease: Futile or future?
Daniel J. van Wamelen, Jirada Sringean, Dhaval Trivedi, et al.
Parkinsonism & Related Disorders (2021) Vol. 89, pp. 186-194
Open Access | Times Cited: 46
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