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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:

Low-Cost Tracking Systems Allow Fine Biomechanical Evaluation of Upper-Limb Daily-Life Gestures in Healthy People and Post-Stroke Patients
Alessandro Scano, Franco Molteni, Lorenzo Molinari Tosatti
Sensors (2019) Vol. 19, Iss. 5, pp. 1224-1224
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A Comprehensive Spatial Mapping of Muscle Synergies in Highly Variable Upper-Limb Movements of Healthy Subjects
Alessandro Scano, Luca Dardari, Franco Molteni, et al.
Frontiers in Physiology (2019) Vol. 10
Open Access | Times Cited: 74
Touchscreen-based assessment of upper limb kinematics after stroke: Reliability, validity and sensitivity to motor impairment
Sandra Goizueta, María Dolores Navarro, Gonzalo Calvo, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
Robot-Aided Systems for Improving the Assessment of Upper Limb Spasticity: A Systematic Review
Rubén de-la-Torre, Edwin Daniel Oña, Carlos Balaguer, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5251-5251
Open Access | Times Cited: 28
Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching
Germain Faity, Denis Mottet, Jérôme Froger
Sensors (2022) Vol. 22, Iss. 7, pp. 2735-2735
Open Access | Times Cited: 16
Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review
Xiaoyi Wang, Yan Fu, Bing Ye, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 6, pp. e34307-e34307
Open Access | Times Cited: 16
Analysis of Upper-Limb and Trunk Kinematic Variability: Accuracy and Reliability of an RGB-D Sensor
Alessandro Scano, Robert Mihai Mira, Pietro Cerveri, et al.
Multimodal Technologies and Interaction (2020) Vol. 4, Iss. 2, pp. 14-14
Open Access | Times Cited: 25
International Classification of Functioning, Disability, and Health augmented by telemedicine and artificial intelligence for assessment of functional disability
Abhimanyu Vasudeva, Nishat Ahmed Sheikh, Samantak Sahu
Journal of Family Medicine and Primary Care (2021) Vol. 10, Iss. 10, pp. 3535-3539
Open Access | Times Cited: 15
An automated system for motor function assessment in stroke patients using motion sensing technology: A pilot study
Bo Sheng, Xiangbin Wang, Meijin Hou, et al.
Measurement (2020) Vol. 161, pp. 107896-107896
Closed Access | Times Cited: 15
A human-driven control architecture for promoting good mental health in collaborative robot scenarios
Matteo Lavit Nicora, Elisabeth André, Daniel Berkmans, et al.
(2021), pp. 285-291
Closed Access | Times Cited: 13
Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching
Germain Faity, Denis Mottet, Jérôme Froger
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Exergames as a rehabilitation tool to enhance the upper limbs functionality and performance in chronic stroke survivors: a preliminary study
Luca Vismara, Claudia Ferraris, Gianluca Amprimo, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
Comparative Analysis of Upper Body Kinematics in Stroke, Parkinson's Disease, and Healthy Subjects: An Observational Study Using IMU-Based Targeted Box and Block Test.
Elena Sofia Cocco, Sanaz Pournajaf, Paola Romano, et al.
Gait & Posture (2024) Vol. 114, pp. 69-77
Open Access | Times Cited: 1
A Kinematic Model of the Shoulder Complex Obtained from a Wearable Detection System
Jianfeng Li, Chunzhao Zhang, Mingjie Dong, et al.
Applied Sciences (2020) Vol. 10, Iss. 11, pp. 3696-3696
Open Access | Times Cited: 10
Biomechanical assessment of the ipsilesional upper limb in post-stroke patients during multi-joint reaching tasks: A quantitative study
Alessandro Scano, Eleonora Guanziroli, Robert Mihai Mira, et al.
Frontiers in Rehabilitation Sciences (2022) Vol. 3
Open Access | Times Cited: 6
Depth Sensor–Based Assessment of Reachable Work Space for Visualizing and Quantifying Paretic Upper Extremity Motor Function in People With Stroke
Kohei Okuyama, Michiyuki Kawakami, Shohei Tsuchimoto, et al.
Physical Therapy (2020) Vol. 100, Iss. 5, pp. 870-879
Open Access | Times Cited: 6
New Rehabilitation Assessment Method of the End-Effector Finger Rehabilitation Robot Based on Multi-Sensor Source
Hongbo Wang, Peng Chen, Yungui Li, et al.
Healthcare (2021) Vol. 9, Iss. 10, pp. 1251-1251
Open Access | Times Cited: 6
Development of Joint Activity Angle Measurement and Cloud Data Storage System
Chiu‐Ching Tuan, Yichao Wu, Wen‐Ling Yeh, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4684-4684
Open Access | Times Cited: 4
A mobile platform-based app to assist undergraduate learning of human kinematics in biomechanics courses
Hanwen Wang, Ziyang Xie, Lu Lu, et al.
Journal of Biomechanics (2022) Vol. 142, pp. 111243-111243
Open Access | Times Cited: 4
A Novel Automated RGB-D Sensor-Based Measurement of Voluntary Items of the Fugl-Meyer Assessment for Upper Extremity: A Feasibility Study
Yue Li, Chong Li, Xiaokang Shu, et al.
Brain Sciences (2022) Vol. 12, Iss. 10, pp. 1380-1380
Open Access | Times Cited: 4
A New Software for Quantifying Motor Deficit After Stroke: A Case–Control Feasibility Pilot Study
Raquel Gutiérrez-Zúñiga, María Alonso de Leciñana, Alejandro Díez, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 4
Comparative Analysis of Upper Body Kinematics in Stroke, Parkinson's Disease, and Healthy Subjects: An Observational Study Using Imu-Based Targeted Box and Block Test
Paola Romano, Elena Sofia Cocco, Sanaz Pournajaf, et al.
(2024)
Closed Access
Research Progress of Intelligent Evaluation and Virtual Reality Based Training in Upper Limb Rehabilitation afrer Stroke
Qiurong Xie, Wanqi LIN, Qi Zhang, et al.
Rehabilitation Medicine (2023) Vol. 33, Iss. 3, pp. 271-279
Closed Access | Times Cited: 1
Upper extremity kinematics: development of a quantitative measure of impairment severity and dissimilarity after stroke
Khadija F. Zaidi, Michelle Harris‐Love
PeerJ (2023) Vol. 11, pp. e16374-e16374
Open Access | Times Cited: 1
A real-time algorithm for the detection of compensatory movements during reaching
Edward Averell, Don Knox, Frederike van Wijck
Journal of Rehabilitation and Assistive Technologies Engineering (2022) Vol. 9, pp. 205566832211170-205566832211170
Open Access | Times Cited: 2
Use of Technology in the Assessment and Rehabilitation of the Upper Limb After Cervical Spinal Cord Injury
José Zariffa, Michelle L. Starkey, Armin Curt, et al.
Springer eBooks (2022), pp. 57-87
Closed Access | Times Cited: 2
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