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 Characteristics Analyzed with Smartphone IMU Sensors in Subjects with Parkinsonism under the Conditions of “Dry” Immersion
A. Yu. Meigal, Liudmila Gerasimova-Meigal, Sergey Reginya, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7915-7915
Open Access | Times Cited: 7

Showing 7 citing articles:

Gait analysis in mixed reality for Parkinson’s disease assessment
Daria Hemmerling, M. Kaczmarska, Bartłomiej Krawczyk, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107659-107659
Closed Access

Feasibility of differentiating gait in Parkinson's disease and spinocerebellar degeneration using a pose estimation algorithm in two-dimensional video
Katsuki Eguchi, Hiroaki Yaguchi, Hisashi Uwatoko, et al.
Journal of the Neurological Sciences (2024) Vol. 464, pp. 123158-123158
Closed Access | Times Cited: 2

Reliability and Validity of a Smartphone Device and Clinical Tools for Thoracic Spine Mobility Assessments
Gabriela Bella van Baalen, Benedicte Vanwanseele, Ranel Venter
Sensors (2023) Vol. 23, Iss. 17, pp. 7622-7622
Open Access | Times Cited: 3

Gait Analysis in Mixed Reality for Parkinson's Disease Assessment
Daria Hemmerling, M. Kaczmarska, Bartłomiej Krawczyk, et al.
(2024)
Closed Access

Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends
Andrei Velichko, Dmitry Korzun, A. Yu. Meigal
Sensors (2023) Vol. 23, Iss. 10, pp. 4853-4853
Open Access | Times Cited: 1

Spatiotemporal parameters from remote smartphone-based gait analysis are associated with lower extremity functional scale categories
Gabriela Rozanski, Andrew Delgado, David Putrino
Frontiers in Rehabilitation Sciences (2023) Vol. 4
Open Access | Times Cited: 1

USE OF NEURAL NETWORKS IN INTELLIGENT MEASUREMENT TOOLS
N. R. Yusupbekov, Y.Sh. Avazov, Umidjon Ruziev
Deleted Journal (2023) Vol. 2023, Iss. 4, pp. 15-21
Open Access

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