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:

Dyskinesia estimation during activities of daily living using wearable motion sensors and deep recurrent networks
Murtadha D. Hssayeni, Joohi Jimenez‐Shahed, Michelle A. Burack, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 22

Showing 22 citing articles:

Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review
Luis Sigcha, Luigi Borzì, Federica Amato, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120541-120541
Open Access | Times Cited: 53

Levodopa-Induced Dyskinesias in Parkinson’s Disease: An Overview on Pathophysiology, Clinical Manifestations, Therapy Management Strategies and Future Directions
Lazzaro di Biase, Pasquale Maria Pecoraro, Simona Paola Carbone, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 13, pp. 4427-4427
Open Access | Times Cited: 24

Unveiling the Unpredictable in Parkinson’s Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life
Alessandro Zampogna, Luigi Borzì, Domiziana Rinaldi, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 440-440
Open Access | Times Cited: 8

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

AI-Driven Motor and Cognitive Decline Digital Assessment for Parkinson's Disease: A Systematic Review and Meta-Analysis
Sofia B. Dias, Ghada Alhussein, Beatriz da Costa Aguiar Alves, et al.
(2025)
Closed Access

Associations Between Coordination and Wearable Sensor Variables Vary by Recording Context but Not Assessment Type
Jeffrey D. Konrad, Natasha Marrus, Keith R. Lohse, et al.
Journal of Motor Behavior (2024) Vol. 56, Iss. 3, pp. 339-355
Open Access | Times Cited: 3

Home-Based Measurements of Dystonia in Cerebral Palsy Using Smartphone-Coupled Inertial Sensor Technology and Machine Learning: A Proof-of-Concept Study
Dylan den Hartog, Marjolein M. van der Krogt, Sven van der Burg, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4386-4386
Open Access | Times Cited: 12

Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson’s Disease Hand Tremor
Prashanna Khwaounjoo, Gurleen Singh, Sophie Grenfell, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4613-4613
Open Access | Times Cited: 12

Dystonia, chorea, hemiballismus and other dyskinesias
Matteo Bologna, Josep Valls‐Solé, Nitish Kamble, et al.
Clinical Neurophysiology (2022) Vol. 140, pp. 110-125
Closed Access | Times Cited: 9

Deep Clinical Phenotyping of Parkinson’s Disease: Towards a New Era of Research and Clinical Care
Zhiheng Xu, Bo Shen, Yilin Tang, et al.
Phenomics (2022) Vol. 2, Iss. 5, pp. 349-361
Open Access | Times Cited: 8

Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease
Mustafa Shuqair, Joohi Jimenez‐Shahed, Behnaz Ghoraani
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6168-6179
Closed Access | Times Cited: 1

Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data
Murtadha D. Hssayeni, Behnaz Ghoraani
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 6, pp. 3767-3778
Closed Access | Times Cited: 1

Wearables for diagnosis and predicting clinical milestones
Serene S. Paul, Martina Mancini
Elsevier eBooks (2024), pp. 149-166
Closed Access

Multi-Shared-Task Self-Supervised CNN-LSTM for Monitoring Free-Body Movement UPDRS-III Using Wearable Sensors
Mustafa Shuqair, Joohi Jimenez‐Shahed, Behnaz Ghoraani
Bioengineering (2024) Vol. 11, Iss. 7, pp. 689-689
Open Access

Biochemical Sensors for Personalized Therapy in Parkinson’s Disease: Where We Stand
Davide Ciarrocchi, Pasquale Maria Pecoraro, Alessandro Zompanti, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 23, pp. 7458-7458
Open Access

Definition of Reliability and Validity of Sensor-Derived Measurements in Parkinson’s Disease Population: The Inertial Study
Giulio Cherubini, Stefano Doronzio, Mario De Marco, et al.
Lecture notes in bioengineering (2024), pp. 101-113
Closed Access

Cuff-Less Blood Pressure Monitoring in a Cohort of People with Parkinson's Disease
Colum Crowe, Marco Sica, Lorna Kenny, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1

Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model
Murtadha D. Hssayeni, Joohi Jimenez‐Shahed, Behnaz Ghoraani
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3195-3198
Closed Access | Times Cited: 2

Assessment of upper limb movement disorders using wearable sensors during functional tasks: a systematic review
Inti Vanmechelen, Helga Haberfehlner, Joni De Vleeschhauwer, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1

Detection of Dystonia in Cerebral Palsy Using Dyskinesia Impairment Scale and Machine Learning
G Virupaxappa, T. Radhakrishnan
(2023) Vol. 2, pp. 1-6
Closed Access

Computational Tracking of Parkinsonian Motor Fluctuations in a Real-World Setting: a case study
Ainara Carpio Chicote, Julian Jeyasingh‐Jacob, Subati Abulikemu, et al.
2022 Conference on Cognitive Computational Neuroscience (2023)
Open Access

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