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:

Deep learning based markerless motion tracking as a clinical tool for movement disorders: Utility, feasibility and early experience
Rex N. Tien, Anand Tekriwal, Dylan Calame, et al.
Frontiers in Signal Processing (2022) Vol. 2
Open Access | Times Cited: 10

Showing 10 citing articles:

Validation and application of computer vision algorithms for video-based tremor analysis
Maximilian Friedrich, Anna-Julia Roenn, Chiara Palmisano, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5

Computer Vision in Clinical Neurology
Maximilian Friedrich, Samuel D. Relton, David Wong, et al.
JAMA Neurology (2025)
Closed Access

Automated Motor Tic Detection: A Machine Learning Approach
Nele Sophie Brügge, Gesine Marie Sallandt, Ronja Schappert, et al.
Movement Disorders (2023) Vol. 38, Iss. 7, pp. 1327-1335
Open Access | Times Cited: 14

Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping
Javier Amo-Salas, Alicia Olivares‐Gil, Álvaro García‐Bustillo, et al.
Healthcare (2024) Vol. 12, Iss. 4, pp. 439-439
Open Access | Times Cited: 4

Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson’s Disease Using Machine Learning
Rene Peter Bremm, Lukas Pavelka, María M. García, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2195-2195
Open Access | Times Cited: 2

A Novel Video-Based Methodology for Automated Classification of Dystonia and Choreoathetosis in Dyskinetic Cerebral Palsy During a Lower Extremity Task
Helga Haberfehlner, Z Roth, Inti Vanmechelen, et al.
Neurorehabilitation and neural repair (2024) Vol. 38, Iss. 7, pp. 479-492
Closed Access | Times Cited: 2

Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning
Robert L. Peach, Maximilian Friedrich, Lara Fronemann, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2

Visual perceptive deep learning for smartphone video-based tremor analysis: VIPER-Tremor
Maximilian Friedrich, Anna-Julia Roenn, Chiara Palmisano, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4

Quantitative assessment of head movement dynamics in dystonia using visual perceptive deep learning: a multi-centre retrospective longitudinal cohort study
Robert L. Peach, Maximilian Friedrich, Lara Fronemann, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

Automatic Analysis Pipeline of Squatting Ability for Elderly People Based on An Intelligent Platform
Annisa Listiyowati Lusi, Tianxiao Li, Juncheng Yu, et al.
(2024), pp. 1-6
Closed Access

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