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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:

Technology-Based Objective Measures Detect Subclinical Axial Signs in Untreated, de novo Parkinson’s Disease
Giulia Di Lazzaro, Mariachiara Ricci, Mohammad Alwardat, et al.
Journal of Parkinson s Disease (2019) Vol. 10, Iss. 1, pp. 113-122
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey
Federica Amato, Giovanni Saggio, Valerio Cesarini, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119651-119651
Closed Access | Times Cited: 29
Physical Activity Changes and Correlate Effects in Patients with Parkinson's Disease during COVID‐19 Lockdown
Tommaso Schirinzi, Giulia Di Lazzaro, Chiara Salimei, et al.
Movement Disorders Clinical Practice (2020) Vol. 7, Iss. 7, pp. 797-802
Open Access | Times Cited: 57
Digital Technology in Movement Disorders: Updates, Applications, and Challenges
Jamie Adams, Karlo J. Lizárraga, Emma Waddell, et al.
Current Neurology and Neuroscience Reports (2021) Vol. 21, Iss. 4
Open Access | Times Cited: 45
A Wearable System to Objectify Assessment of Motor Tasks for Supporting Parkinson’s Disease Diagnosis
Erika Rovini, Carlo Maremmani, Filippo Cavallo
Sensors (2020) Vol. 20, Iss. 9, pp. 2630-2630
Open Access | Times Cited: 39
Detecting Elderly Behaviors Based on Deep Learning for Healthcare: Recent Advances, Methods, Real-World Applications and Challenges
Mubarak Almutairi, Lubna Abdelkareim Gabralla, S. Abubakar, et al.
IEEE Access (2022) Vol. 10, pp. 69802-69821
Open Access | Times Cited: 23
Machine learning and wearable sensors for automated Parkinson’s disease diagnosis aid: a systematic review
Lazzaro di Biase, Pasquale Maria Pecoraro, Giovanni Pecoraro, et al.
Journal of Neurology (2024) Vol. 271, Iss. 10, pp. 6452-6470
Closed Access | Times Cited: 5
Testing Machine Learning Algorithms to Evaluate Fluctuating and Cognitive Profiles in Parkinson’s Disease by Motion Sensors and EEG Data
Giovanni Mostile, Salvatore Quattropani, Federico Contrafatto, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 778-784
Open Access
Technology-Based Complex Motor Tasks Assessment: A 6-DOF Inertial-Based System Versus a Gold-Standard Optoelectronic-Based One
Giovanni Saggio, Francesca Tombolini, Antonio Ruggiero
IEEE Sensors Journal (2020) Vol. 21, Iss. 2, pp. 1616-1624
Closed Access | Times Cited: 37
The application of artificial intelligence and custom algorithms with inertial wearable devices for gait analysis and detection of gait-altering pathologies in adults: A scoping review of literature
Ashley Cha Yin Lim, Pragadesh Natarajan, R. Dineth Fonseka, et al.
Digital Health (2022) Vol. 8, pp. 205520762210741-205520762210741
Open Access | Times Cited: 20
Objective measurement versus clinician-based assessment for Parkinson’s disease
Andrea Guerra, Valentina D’Onofrio, Florinda Ferreri, et al.
Expert Review of Neurotherapeutics (2023) Vol. 23, Iss. 8, pp. 689-702
Closed Access | Times Cited: 11
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Samiappan Dhanalakshmi, Sudeshna Das, Ramalingam Senthil
Health and Technology (2024) Vol. 14, Iss. 2, pp. 393-406
Closed Access | Times Cited: 4
The Impact of Wearable Electronics in Assessing the Effectiveness of Levodopa Treatment in Parkinson's Disease
Mariachiara Ricci, Giulia Di Lazzaro, Vito Errico, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 2920-2928
Closed Access | Times Cited: 16
Upper limb intention tremor assessment: opportunities and challenges in wearable technology
Natalia Paredes-Acuña, Daniel Utpadel-Fischler, Keqin Ding, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 3
Wearable sensor-based quantitative gait analysis in Parkinson’s disease patients with different motor subtypes
Weishan Zhang, Yun Ling, Zhonglue Chen, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
Technology-based therapy-response and prognostic biomarkers in a prospective study of a de novo Parkinson’s disease cohort
Giulia Di Lazzaro, Mariachiara Ricci, Giovanni Saggio, et al.
npj Parkinson s Disease (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 19
Diagnosis and Treatment of Tremor in Parkinson’s Disease Using Mechanical Devices
Joji Fujikawa, Ryoma Morigaki, Nobuaki Yamamoto, et al.
Life (2022) Vol. 13, Iss. 1, pp. 78-78
Open Access | Times Cited: 13
Harmonic Distortion Aspects in Upper Limb Swings during Gait in Parkinson’s Disease
Luca Pietrosanti, Alexandre Calado, Cristiano Maria Verrelli, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 625-625
Open Access | Times Cited: 6
Robust and language-independent acoustic features in Parkinson's disease
Sabrina Scimeca, Federica Amato, Gabriella Olmo, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 5
Gait Abnormalities in Parkinson’s Disease Are Associated with Extracellular Free-Water Characteristics in the Substantia Nigra
Manuel Bange, Gabriel González‐Escamilla, Nadine Sandra Claudia Lang, et al.
Journal of Parkinson s Disease (2022) Vol. 12, Iss. 5, pp. 1575-1590
Open Access | Times Cited: 8
Kinect-based objective evaluation of bradykinesia in patients with Parkinson's disease
Zhuang Wu, Hongkai Gu, Ronghua Hong, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 4
Friedreich ataxia in COVID-19 time: current impact and future possibilities
Tommaso Schirinzi, Andrea Sancesario, Enrico Castelli, et al.
Cerebellum & Ataxias (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 9
Detection of Postural Control in Young and Elderly Adults Using Deep and Machine Learning Methods with Joint–Node Plots
Posen Lee, Tai‐Been Chen, Chi-Yuan Wang, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3212-3212
Open Access | Times Cited: 7
Vocal test Analysis for Assessing Parkinson's Disease at Early Stage
Rayan Fayad, Mohamad Hajj-Hassan, Giovanni Costantini, et al.
(2021), pp. 171-174
Closed Access | Times Cited: 6
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
Ferdian Jovan, Catherine Morgan, Ryan McConville, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4273-4283
Open Access | Times Cited: 2
A Viscoelastic Model to Evidence Reduced Upper-Limb-Swing Capabilities during Gait for Parkinson’s Disease-Affected Subjects
Luca Pietrosanti, Cristiano Maria Verrelli, F. Giannini, et al.
Electronics (2023) Vol. 12, Iss. 15, pp. 3347-3347
Open Access | Times Cited: 2
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