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:

Bilateral Leg Stepping Coherence as a Predictor of Freezing of Gait in Patients With Parkinson’s Disease Walking With Wearable Sensors
Tal Krasovsky, Benedetta Heimler, Or Koren, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 798-805
Open Access | Times Cited: 9

Showing 9 citing articles:

Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops
Po-Kai Yang, Benjamin Filtjens, Pieter Ginis, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 13

A Review of Recent Advances in Cognitive-Motor Dual-Tasking for Parkinson’s Disease Rehabilitation
Xiaohui Tan, Kai Wang, Wei Sun, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6353-6353
Open Access | Times Cited: 4

Multimodal Freezing of Gait Detection: Analyzing the Benefits of Physiological Data
Po-Kai Yang, Benjamin Filtjens, Pieter Ginis, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops
Po-Kai Yang, Benjamin Filtjens, Pieter Ginis, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

An insight on recent advancements and future perspectives in detection techniques of Parkinson’s disease
Snehith Sankineni, Aanchal Saraswat, M. Suchetha, et al.
Evolutionary Intelligence (2023) Vol. 17, Iss. 3, pp. 1715-1731
Closed Access | Times Cited: 2

Cross-Platform Gait Analysis and Fall Detection Wearable Device
Ming-Hung Chang, Yichao Wu, Hsi-Yu Niu, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3299-3299
Open Access | Times Cited: 1

Comprehensive Performance Analysis of Machine Learning Models in Fall Detection Using Gait Data
Arijit Bakshi, Al Amin Anik, Mashrufa Mehnaz, et al.
(2023)
Closed Access

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