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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:

Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk
Christopher Buckley, M. Encarna Micó-Amigo, Michael Dunne-Willows, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 37-37
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Recent use of deep learning techniques in clinical applications based on gait: a survey
Yume Matsushita, Dinh Tuan Tran, Hirotake Yamazoe, et al.
Journal of Computational Design and Engineering (2021) Vol. 8, Iss. 6, pp. 1499-1532
Open Access | Times Cited: 33
Movement smoothness in chronic post-stroke individuals walking in an outdoor environment—A cross-sectional study using IMU sensors
Flora do Vale Garcia, Maira J. da Cunha, Clarissa Pedrini Schuch, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250100-e0250100
Open Access | Times Cited: 31
SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing
Lukas Adamowicz, Yiorgos Christakis, Matthew Czech, et al.
JMIR mhealth and uhealth (2022) Vol. 10, Iss. 4, pp. e36762-e36762
Open Access | Times Cited: 21
Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns
Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6253-6253
Open Access | Times Cited: 26
Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review
Mariano Bernaldo de Quirós, E.H. Douma, Inge van den Akker‐Scheek, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1050-1050
Open Access | Times Cited: 15
Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters
Zachary Ripic, Joseph F. Signorile, Christopher Kuenze, et al.
Journal of Biomechanics (2022) Vol. 143, pp. 111278-111278
Closed Access | Times Cited: 13
A Multifactorial Model of Multiple Sclerosis Gait and Its Changes Across Different Disability Levels
Lorenza Angelini, Ellen Buckley, Tecla Bonci, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 11, pp. 3196-3204
Open Access | Times Cited: 17
Accelerometer-based gait characteristics and their discrimination of gait independence in inpatients with subacute stroke
Tatsuya Igarashi, Yuta Tani, Ren Takeda, et al.
Gait & Posture (2024) Vol. 110, pp. 138-143
Closed Access | Times Cited: 2
The Effects of Combining Transcranial Direct Current Stimulation and Gait Training with Functional Electrical Stimulation on Trunk Acceleration During Walking in Patients with Subacute Stroke
Tsubasa Mitsutake, Maiko Sakamoto, Hisato Nakazono, et al.
Journal of Stroke and Cerebrovascular Diseases (2021) Vol. 30, Iss. 4, pp. 105635-105635
Closed Access | Times Cited: 12
Deep Convolutional Neural Network-Based Hemiplegic Gait Detection Using an Inertial Sensor Located Freely in a Pocket
Hang‐Sik Shin
Sensors (2022) Vol. 22, Iss. 5, pp. 1920-1920
Open Access | Times Cited: 8
Relative and absolute reliability of gait variables obtained from gait analysis with trunk acceleration in community-dwelling individuals with chronic stroke: a pilot study
Tomohiro Fujimoto, Keita Sue, Takanori Yamabe, et al.
Journal of Physical Therapy Science (2022) Vol. 35, Iss. 1, pp. 75-81
Open Access | Times Cited: 8
An Acceleration Based Fusion of Multiple Spatiotemporal Networks for Gait Phase Detection
Tao Zhen, Lei Yan, Jianlei Kong
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 16, pp. 5633-5633
Open Access | Times Cited: 12
Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
Masahiko Mukaino, Takayuki Ogasawara, Hirotaka Matsuura, et al.
BMC Sports Science Medicine and Rehabilitation (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 8
A scoping review on recent trends in wearable sensors to analyze gait in people with stroke: From sensor placement to validation against gold-standard equipment
Jaison Jacob Mathunny, Varshini Karthik, Ashokkumar Devaraj, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2023) Vol. 237, Iss. 3, pp. 309-326
Closed Access | Times Cited: 4
Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram
Cyril Voisard, Nicolas de l’Escalopier, Aliénor Vienne-Jumeau, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 4
Explaining deep learning models for age-related gait classification based on acceleration time series
Xiaoping Zheng, Egbert Otten, Michiel F. Reneman, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109338-109338
Closed Access | Times Cited: 1
Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition
Tao Zhen, Jianlei Kong, Lei Yan
Complexity (2020) Vol. 2020, pp. 1-17
Open Access | Times Cited: 11
Effect of Deep Brain Stimulation Frequency on Gait Symmetry, Smoothness and Variability using IMU
Elisa Panero, Elisa Digo, Ugo Dimanico, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2021), pp. 1-6
Closed Access | Times Cited: 10
Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor
Antonino Casabona, Maria Stella Valle, Giulia Rita Agata Mangano, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 5001-5001
Open Access | Times Cited: 7
Sensitivity to gait improvement after levodopa intake in Parkinson’s disease: A comparison study among synthetic kinematic indices
Emahnuel Troisi Lopez, Roberta Minino, Pierpaolo Sorrentino, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0268392-e0268392
Open Access | Times Cited: 6
Periodicity Intensity of the 24 h Circadian Rhythm in Newborn Calves Show Indicators of Herd Welfare
Victoria Rhodes, Maureen G. Maguire, Meghana Shetty, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5843-5843
Open Access | Times Cited: 6
Grammatical Evolution-Based Feature Extraction for Hemiplegia Type Detection
Vasileios Christou, Ioannis G. Tsoulos, Alexandros Arjmand, et al.
Signals (2022) Vol. 3, Iss. 4, pp. 737-751
Open Access | Times Cited: 5
Increased Trailing Limb Angle is Associated with Regular and Stable Trunk Movements in Patients with Hemiplegia
Tsubasa Mitsutake, Hisato Nakazono, Hisayoshi Yoshizuka, et al.
Journal of Stroke and Cerebrovascular Diseases (2021) Vol. 31, Iss. 2, pp. 106242-106242
Closed Access | Times Cited: 6
Automatic gait analysis during steady and unsteady walking using a smartphone
Arshad Sher, David Langford, Einar Dogger, et al.
(2021)
Open Access | Times Cited: 4
Effectiveness of dynamic neuromuscular stabilization, neurodevelopmental techniques and proprioceptive neuromuscular facilitation on trunk and gait parameters in patients with subacute stroke: A three-arm parallel randomised clinical trial
Swadha P Udhoji, Raghumahanti Raghuveer, Rakesh Krishna Kovela
F1000Research (2024) Vol. 13, pp. 29-29
Open Access
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