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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:

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

Showing 17 citing articles:

Digital Twins for Multiple Sclerosis
Isabel Voigt, Hernán Inojosa, Anja Dillenseger, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 193
Digital Biomarkers in Multiple Sclerosis
Anja Dillenseger, Marie Luise Weidemann, Katrin Trentzsch, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1519-1519
Open Access | Times Cited: 79
Fear of falling and falls in people with multiple sclerosis: A literature review
Maria Scholz, Rocco Haase, Katrin Trentzsch, et al.
Multiple Sclerosis and Related Disorders (2020) Vol. 47, pp. 102609-102609
Closed Access | Times Cited: 53
Building a monitoring matrix for the management of multiple sclerosis
Isabel Voigt, Hernán Inojosa, Judith Wenk, et al.
Autoimmunity Reviews (2023) Vol. 22, Iss. 8, pp. 103358-103358
Closed Access | Times Cited: 18
Medical Digital Twin: A Review on Technical Principles and Clinical Applications
Mario Tortora, F Pacchiano, Suely Fazio Ferraciolli, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 324-324
Open Access
Using machine learning algorithms to detect fear of falling in people with multiple sclerosis in standardized gait analysis
Paula Schumann, Katrin Trentzsch, Heidi Stölzer-Hutsch, et al.
Multiple Sclerosis and Related Disorders (2024) Vol. 88, pp. 105721-105721
Open Access | Times Cited: 3
Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis
Katrin Trentzsch, Paula Schumann, Grzegorz Śliwiński, et al.
Brain Sciences (2021) Vol. 11, Iss. 8, pp. 1049-1049
Open Access | Times Cited: 21
Detection of Fall Risk in Multiple Sclerosis by Gait Analysis—An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms
Paula Schumann, Maria Scholz, Katrin Trentzsch, et al.
Brain Sciences (2022) Vol. 12, Iss. 11, pp. 1477-1477
Open Access | Times Cited: 11
Neurological complications in oncology and their monitoring and management in clinical practice: a narrative review
Stefanie Fischer, Malte von Bonin, Martin Bornhäuser, et al.
Supportive Care in Cancer (2024) Vol. 32, Iss. 10
Open Access | Times Cited: 2
Improving Digital Patient Care: Lessons Learned from Patient-Reported and Expert-Reported Experience Measures for the Clinical Practice of Multidimensional Walking Assessment
Maria Scholz, Rocco Haase, Katrin Trentzsch, et al.
Brain Sciences (2021) Vol. 11, Iss. 6, pp. 786-786
Open Access | Times Cited: 10
Automated Analysis of the Two-Minute Walk Test in Clinical Practice Using Accelerometer Data
Katrin Trentzsch, Benjamin Melzer, Heidi Stölzer-Hutsch, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1507-1507
Open Access | Times Cited: 6
Sensitive Identification of Asymmetries and Neuromuscular Deficits in Lower Limb Function in Early Multiple Sclerosis
Anne Geßner, Maximilian Hartmann, Anikó Vágó, et al.
Neurorehabilitation and neural repair (2024) Vol. 38, Iss. 8, pp. 570-581
Open Access
Rule-Based DSL for Continuous Features and ML Models Selection in Multiple Sclerosis Research
Wanqi Zhao, Karsten Wendt, Tjalf Ziemssen, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6193-6193
Open Access
Funktionelle Elektrostimulation zur Versorgung bei paretischen Gangstörungen: Fokus auf Fußheberschwäche bei Multipler Sklerose
Maximilian Rechenberg, Heidi Stölzer-Hutsch, Katrin Trentzsch, et al.
neuroreha (2024) Vol. 16, Iss. 04, pp. 180-186
Closed Access
Transparent Quality Optimization for Machine Learning-Based Regression in Neurology
Karsten Wendt, Katrin Trentzsch, Rocco Haase, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 6, pp. 908-908
Open Access | Times Cited: 1
Sprunganalyse auf einer Kraftmessplatte – was sie über die MS verrät
Anne Geßner, Heidi Stölzer-Hutsch, Katrin Trentzsch, et al.
neuroreha (2023) Vol. 15, Iss. 02, pp. 87-93
Closed Access
Daten sammeln aus der Praxis: der Weg zum digitalen MS-Zwilling
Isabel Voigt, Tjalf Ziemssen
DNP - Der Neurologe und Psychiater (2021) Vol. 22, Iss. 6, pp. 30-36
Closed Access
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