Open Access Helper

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:

Assessment of movement disorders using wearable sensors during upper limb tasks: A scoping review
Inti Vanmechelen, Helga Haberfehlner, Joni De Vleeschhauwer, et al.
Frontiers in Robotics and AI (2023) Vol. 9
Open Access | Times Cited: 20

Showing 20 citing articles:

Editorial: Effectiveness of exercise and diet on movement disorders
Adérito Seixas, Cláudia Silva, Mário Bernardo-Filho, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access
Assessing sensor-derived features from a wrist-worn wearable device as indicators of upper extremity function in individuals with cervical spinal cord injury
Taylor Johnson, Cole Hagen, Donna L. Coffman, et al.
Archives of Physical Medicine and Rehabilitation (2025)
Closed Access
Better Understanding Rehabilitation of Motor Symptoms: Insights from the Use of Wearables
Yunus Çelik, Conor Wall, Jason Moore, et al.
Pragmatic and Observational Research (2025) Vol. Volume 16, pp. 67-93
Open Access
Improving naturalistic neuroscience with patient engagement strategies
Lucia K. Feldmann, Juliet Roudini, Andrea A. Kühn, et al.
Frontiers in Human Neuroscience (2024) Vol. 17
Open Access | Times Cited: 3
IMU-based systems for upper limb kinematic analysis in clinical applications: a systematic review
Alessandra Favata, Roger Gallart-Agut, Rosa Pàmies‐Vilà, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 18, pp. 28576-28594
Open Access | Times Cited: 3
Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review
Xin Wang, Jie Zhang, Sheng Quan Xie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 7432-7447
Open Access | Times Cited: 2
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
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
A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
Jeroen Habets, Rachel K. Spooner, Varvara Mathiopoulou, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5238-5238
Open Access | Times Cited: 6
Reliability and Discriminative Validity of Wearable Sensors for the Quantification of Upper Limb Movement Disorders in Individuals with Dyskinetic Cerebral Palsy
Inti Vanmechelen, Saranda Bekteshi, Helga Haberfehlner, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1574-1574
Open Access | Times Cited: 4
Convolutional neural network based detection of early stage Parkinson’s disease using the six minute walk test
Hyejin Choi, Changhong Youm, Hwayoung Park, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Multimodal Digital Phenotyping of Behavior in a Neurology Clinic: Development of the Neurobooth Platform and the First Two Years of Data Collection
Adonay S. Nunes, Siddharth Patel, Brandon Oubre, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Comparative Assessment of Gait and Balance in Patients with Parkinson’s Disease and Normal Pressure Hydrocephalus
Özgür Öztop Çakmak, Kardelen Akar, Hussein Youssef, et al.
SiSli Etfal Hastanesi Tip Bulteni / The Medical Bulletin of Sisli Hospital (2023)
Open Access | Times Cited: 2
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
Convolutional neural network-based detection of early-stage Parkinson’s disease using the six-minute walk test
Hyejin Choi, Changhong Youm, Hwayoung Park, et al.
Research Square (Research Square) (2024)
Open Access
Kinematic IMU-Based Assessment of Postural Transitions: A Preliminary Application in Clinical Context
Cinzia Amici, Joel Pollet, Giorgia Ranica, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7011-7011
Open Access
A Statistical Approach for Functional Reach-to-Grasp Segmentation Using a Single Inertial Measurement Unit
Gregorio Dotti, Marco Caruso, Daniele Fortunato, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 6119-6119
Open Access
Hand Tremor Detection and Feedback System Based on Inertial Measurement Unit (IMU) for Parkinson's Disease: A Pilot Study
IL-JUNG KWON, Hyeonjong Kim, Junghyuk Ko
Journal of Mechanics in Medicine and Biology (2024) Vol. 24, Iss. 09
Closed Access
Biodegradable, Self‐Adhesive, Stretchable, Transparent, and Versatile Electronic Skins Based on Intrinsically Hydrophilic Poly(Caproactone‐Urethane) Elastomer
Pulikanti Guruprasad Reddy, Vipul Sharma, Vijay Singh Parihar, et al.
Advanced Engineering Materials (2024)
Open Access
Feasibility of Shoulder Kinematics Assessment Using Magnetic Inertial Measurement Units in Hemiplegic Patients after Stroke: A Pilot Study
M. Longhi, Danilo Donati, Monica Mantovani, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11900-11900
Open Access
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