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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:

Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data
Martin Ullrich, Nils Roth, Arne Küderle, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 319-328
Closed Access | Times Cited: 22

Showing 22 citing articles:

Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports
Luyao Yang, Osama Amin, Basem Shihada
ACM Computing Surveys (2024) Vol. 56, Iss. 7, pp. 1-42
Closed Access | Times Cited: 19
Position paper on how technology for human motion analysis and relevant clinical applications have evolved over the past decades: Striking a balance between accuracy and convenience
Paolo Bonato, Véronique Feipel, Giulia Corniani, et al.
Gait & Posture (2024) Vol. 113, pp. 191-203
Open Access | Times Cited: 6
Fall risk prediction using temporal gait features and machine learning approaches
Zhe Lim, Tee Connie, Michael Kah Ong Goh, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4
Psychological and physiological computing based on multi-dimensional foot information
Shengyang Li, Huilin Yao, Ruotian Peng, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Digital gait biomarkers in Parkinson’s disease: susceptibility/risk, progression, response to exercise, and prognosis
Martina Mancini, Mitra Afshari, Quincy J. Almeida, et al.
npj Parkinson s Disease (2025) Vol. 11, Iss. 1
Open Access
Association of Prospective Falls in Older People With Ubiquitous Step-Based Fall Risk Parameters Calculated From Ambulatory Inertial Signals: Secondary Data Analysis
Nahime Al Abiad, Kimberley S. van Schooten, Valérie Renaudin, et al.
JMIR Aging (2023) Vol. 6, pp. e49587-e49587
Open Access | Times Cited: 8
Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
Arne Küderle, Martin Ullrich, Nils Roth, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2024) Vol. 5, pp. 163-172
Open Access | Times Cited: 2
The effectiveness of a fall detection device in older nursing home residents: a pilot study
Büşra Can, Aslı Tufan, Şevval Karadağ, et al.
Psychogeriatrics (2024) Vol. 24, Iss. 4, pp. 822-829
Closed Access | Times Cited: 1
Accelerometer-based fall risk prediction in elderly using machine learning: Effect of feature combination and balanced dataset
CHAIDECH ANGSUWAN, Dipak Kumar Agrawal, Wipawee Usaha, et al.
Procedia Computer Science (2024) Vol. 235, pp. 326-334
Open Access | Times Cited: 1
Knowledge mapping and research trends of accidental falls in patients with Parkinson’s disease from 2003 to 2023: a bibliometric analysis
Luya Shi, Bongsook Yih
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
Predicting future fallers in Parkinson’s disease using kinematic data over a period of 5 years
Charalampos Sotirakis, Maksymilian A. Brzezicki, Salil Patel, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Gait Characteristics Associated with Fear of Falling in Hospitalized People with Parkinson’s Disease
Manuela Uhlig, Tino Prell
Sensors (2023) Vol. 23, Iss. 3, pp. 1111-1111
Open Access | Times Cited: 3
Development of an Intelligent Walking Aid for Fall Detection
Eliane Schröter, Thanh-Nghi Doan, Armin Schneider
Current Directions in Biomedical Engineering (2023) Vol. 9, Iss. 1, pp. 287-290
Open Access | Times Cited: 3
CARWatch – A smartphone application for improving the accuracy of cortisol awakening response sampling
Robert Richer, Luca Abel, Arne Küderle, et al.
Psychoneuroendocrinology (2023) Vol. 151, pp. 106073-106073
Closed Access | Times Cited: 2
The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint)
Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, et al.
(2024)
Open Access
Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data
Lukas Klein, Christoph Ostrau, Michael Thies, et al.
Pervasive Computing Technologies for Healthcare (2024), pp. 423-437
Closed Access
PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson's disease severity assessment
Sushruta Mishra, Lambodar Jena, Nilamadhab Mishra, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34593-e34593
Open Access
Evaluation of Functional Mobility of Elders Using Vision Attentive Model for Parkinson’s Disease
Dakshika A. Gunaratne, H.M.K.K.M.B. Herath, R.G.D. Dhanushi, et al.
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access
What about the use of Wearable Sensors to assess Fall Risk in Neurological Disorders? A Systematic Review. (Preprint)
Mirjam Bonanno, Augusto Ielo, Paolo De Pasquale, et al.
(2024)
Open Access
Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach
Sophie Fleischmann, Severine Dietz, Julian Shanbhag, et al.
ACM Transactions on Intelligent Systems and Technology (2024)
Open Access
The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint)
Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, et al.
JMIR mhealth and uhealth (2024)
Open Access
Performance Analysis of Machine Learning Classification for Parkinson's Disease from Biomedical Audio Data
Santhosh Kumar, A Suganthi, N. Sarmiladevi, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1
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