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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:

Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis
Mikaela L. Frechette, Brett M. Meyer, Lindsey J. Tulipani, et al.
Current Neurology and Neuroscience Reports (2019) Vol. 19, Iss. 10
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective
Tim Woelfle, Lucie Bourguignon, Johannes Lorscheider, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44428-e44428
Open Access | Times Cited: 24
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis
Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 5, pp. 1824-1831
Open Access | Times Cited: 68
Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques
Reed D. Gurchiek, Nick Cheney, Ryan S. McGinnis
Sensors (2019) Vol. 19, Iss. 23, pp. 5227-5227
Open Access | Times Cited: 62
A wearable sensor identifies alterations in community ambulation in multiple sclerosis: contributors to real-world gait quality and physical activity
Shirley Shema-Shiratzky, Inbar Hillel, Anat Mirelman, et al.
Journal of Neurology (2020) Vol. 267, Iss. 7, pp. 1912-1921
Open Access | Times Cited: 60
Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple sclerosis in a clinical setting
Lorenza Angelini, William Hodgkinson, Craig Smith, et al.
Journal of Neurology (2020) Vol. 267, Iss. 10, pp. 2897-2909
Open Access | Times Cited: 51
Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis
Lindsey J. Tulipani, Brett M. Meyer, Dakota A. Allen, et al.
Gait & Posture (2022) Vol. 94, pp. 19-25
Open Access | Times Cited: 29
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, et al.
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20034-20046
Closed Access | Times Cited: 16
Efficacy of Transcranial Direct Current Stimulation (tDCS) on Balance and Gait in Multiple Sclerosis Patients: A Machine Learning Approach
Nicola Marotta, Alessandro de Sire, Cinzia Marinaro, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 12, pp. 3505-3505
Open Access | Times Cited: 22
How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway
Brett M. Meyer, Paolo DePetrillo, Jaime Martin Franco, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6982-6982
Open Access | Times Cited: 22
Remote Monitoring in the Home Validates Clinical Gait Measures for Multiple Sclerosis
Akara Supratak, Gourab Datta, Arie Gafson, et al.
Frontiers in Neurology (2018) Vol. 9
Open Access | Times Cited: 35
Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis
Lindsey J. Tulipani, Brett M. Meyer, Dale Larie, et al.
Gait & Posture (2020) Vol. 80, pp. 361-366
Open Access | Times Cited: 28
Smartphone applications to assess gait and postural control in people with multiple sclerosis: A systematic review
Libak Abou, Ellyce Wong, Joseph Peters, et al.
Multiple Sclerosis and Related Disorders (2021) Vol. 51, pp. 102943-102943
Closed Access | Times Cited: 26
Efficacy of Transcranial Direct Current Stimulation in People with Multiple Sclerosis: A comprehensive review
Shawn Hiew, Carine Nguemeni, Daniel Zeller
European Journal of Neurology (2021) Vol. 29, Iss. 2, pp. 648-664
Open Access | Times Cited: 26
Association Between Frailty and Free-Living Walking Performance in People With Multiple Sclerosis
Tobia Zanotto, Irina Galperin, Anat Mirelman, et al.
Physical Therapy (2023) Vol. 103, Iss. 5
Open Access | Times Cited: 10
The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review
Sylvain Jung, Mona Michaud, Laurent Oudre, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5625-5625
Open Access | Times Cited: 26
Gait event detection using a thigh-worn accelerometer
Reed D. Gurchiek, Cole P. Garabed, Ryan S. McGinnis
Gait & Posture (2020) Vol. 80, pp. 214-216
Open Access | Times Cited: 25
Advancing Digital Medicine with Wearables in the Wild
Ryan S. McGinnis, Ellen W. McGinnis
Sensors (2022) Vol. 22, Iss. 12, pp. 4576-4576
Open Access | Times Cited: 14
Wearable devices for gait and posture monitoring via telemedicine in people with movement disorders and multiple sclerosis: a systematic review
Francesca Salaorni, Giulia Bonardi, Federico Schena, et al.
Expert Review of Medical Devices (2023) Vol. 21, Iss. 1-2, pp. 121-140
Closed Access | Times Cited: 8
Information processing speed and disease severity predict real-world ambulation in persons with multiple sclerosis
Michael VanNostrand, Myeongjin Bae, John C. Ramsdell, et al.
Gait & Posture (2024) Vol. 111, pp. 99-104
Closed Access | Times Cited: 2
Examining the validity of smart glasses in measuring spatiotemporal parameters of gait among people with Parkinson’s disease
James R. Fang, Rajesh Pahwa, Kelly E. Lyons, et al.
Gait & Posture (2024) Vol. 113, pp. 139-144
Open Access | Times Cited: 2
Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities
Francisco M. Calatrava-Nicolás, Eduardo Gutierrez Maestro, Daniel Bautista‐Salinas, et al.
Sensors (2021) Vol. 21, Iss. 20, pp. 6865-6865
Open Access | Times Cited: 17
Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis
Chloé Sieber, Christina Haag, Ashley Polhemus, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 6
Use of a wearable accelerometer to evaluate physical frailty in people receiving haemodialysis
Tobia Zanotto, Thomas H. Mercer, Marietta van der Linden, et al.
BMC Nephrology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Research on lower extremity health in patients with multiple sclerosis: a systematic scoping review
Minna Stolt, Anne‐Marie Laitinen, Juhani Ruutiainen, et al.
Journal of Foot and Ankle Research (2020) Vol. 13, Iss. 1
Open Access | Times Cited: 17
The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice
Katrin Trentzsch, Marie Luise Weidemann, Charlotte Torp, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 17
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