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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:

Support vector machine for classification of walking conditions of persons after stroke with dropped foot
Hong-yin Lau, K.Y. Tong, Hailong Zhu
Human Movement Science (2009) Vol. 28, Iss. 4, pp. 504-514
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
Che-Chang Yang, Yeh‐Liang Hsu
Sensors (2010) Vol. 10, Iss. 8, pp. 7772-7788
Open Access | Times Cited: 978
The Use of Wearable Inertial Motion Sensors in Human Lower Limb Biomechanics Studies: A Systematic Review
Daniel Tik-Pui Fong, Yue-Yan Chan
Sensors (2010) Vol. 10, Iss. 12, pp. 11556-11565
Open Access | Times Cited: 266
Machine Learning for Brain Stroke: A Review
Manisha Sirsat, Eduardo Fermé, Joana Câmara
Journal of Stroke and Cerebrovascular Diseases (2020) Vol. 29, Iss. 10, pp. 105162-105162
Open Access | Times Cited: 205
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor
Vijay Bhaskar Semwal, Neha Gaud, Praveen Lalwani, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1149-1169
Closed Access | Times Cited: 137
Assessment Methods of Post-stroke Gait: A Scoping Review of Technology-Driven Approaches to Gait Characterization and Analysis
Dhanya Menoth Mohan, Ahsan H. Khandoker, Sabahat A Wasti, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 107
Application of data fusion techniques and technologies for wearable health monitoring
Rachel King, Emma Villeneuve, Ruth White, et al.
Medical Engineering & Physics (2017) Vol. 42, pp. 1-12
Open Access | Times Cited: 159
Automatic recognition of gait patterns in human motor disorders using machine learning: A review
Joana Figueiredo, Cristina P. Santos, Juan C. Moreno
Medical Engineering & Physics (2018) Vol. 53, pp. 1-12
Open Access | Times Cited: 137
Classifying Lower Extremity Muscle Fatigue During Walking Using Machine Learning and Inertial Sensors
Jian Zhang, Thurmon E. Lockhart, Rahul Soangra
Annals of Biomedical Engineering (2013) Vol. 42, Iss. 3, pp. 600-612
Open Access | Times Cited: 127
Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation
Madhuri Panwar, Dwaipayan Biswas, Harsh P. Bajaj, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 66, Iss. 11, pp. 3026-3037
Open Access | Times Cited: 126
Walking gait event detection based on electromyography signals using artificial neural network
Nurhazimah Nazmi, Mohd Azizi Abdul Rahman, Shin-ichiroh Yamamoto, et al.
Biomedical Signal Processing and Control (2018) Vol. 47, pp. 334-343
Open Access | Times Cited: 107
Joint segmentation of multivariate time series with hidden process regression for human activity recognition
Faïcel Chamroukhi, Samer Mohammed, D. Trabelsi, et al.
Neurocomputing (2013) Vol. 120, pp. 633-644
Open Access | Times Cited: 91
Review of Accelerometry for Determining Daily Activity Among Elderly Patients
Vivian Cheung, Len Gray, Mohan Karunanithi
Archives of Physical Medicine and Rehabilitation (2011) Vol. 92, Iss. 6, pp. 998-1014
Closed Access | Times Cited: 87
Using Sensors to Measure Activity in People with Stroke
George Fulk, Edward Sazonov
Topics in Stroke Rehabilitation (2011) Vol. 18, Iss. 6, pp. 746-757
Open Access | Times Cited: 82
Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features
Wolfgang Teufl, Bertram Taetz, Markus Miezal, et al.
Sensors (2019) Vol. 19, Iss. 22, pp. 5006-5006
Open Access | Times Cited: 68
Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty
Carlo Dindorf, Wolfgang Teufl, Bertram Taetz, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4385-4385
Open Access | Times Cited: 58
Explaining Machine Learning Models for Clinical Gait Analysis
Djordje Slijepčević, Fabian Horst, Sebastian Lapuschkin, et al.
ACM Transactions on Computing for Healthcare (2021) Vol. 3, Iss. 2, pp. 1-27
Open Access | Times Cited: 44
AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI
Isuru Senadheera, Prasad Hettiarachchi, Brendon S. Haslam, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6585-6585
Open Access | Times Cited: 7
NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework
Joshua G. A. Cashaback, Jessica L. Allen, Amber H.Y. Chou, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 5
Biomechanical Posture Analysis in Healthy Adults with Machine Learning: Applicability and Reliability
Federico Roggio, Sarah Di Grande, Salvatore Cavalieri, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2929-2929
Open Access | Times Cited: 5
Automation of observational gait assessment through an optical 3D motion system and transformers
David Carneros-Prado, Sergio González-Velázquez, Cosmin C. Dobrescu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Advanced sensors for smart healthcare: an introduction
Giovanni Diraco
Elsevier eBooks (2025), pp. 1-27
Closed Access
Diagnosing fatigue in gait patterns by support vector machines and self-organizing maps
Daniël Janssen, Wolfgang I. Schöllhorn, Karl M. Newell, et al.
Human Movement Science (2010) Vol. 30, Iss. 5, pp. 966-975
Closed Access | Times Cited: 77
Automatic detection of collisions in elite level rugby union using a wearable sensing device
Daniel Kelly, Garrett F. Coughlan, Brian S. Green, et al.
Sports Engineering (2012) Vol. 15, Iss. 2, pp. 81-92
Closed Access | Times Cited: 70
Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review
Dax Steins, Helen Dawes, Patrick Esser, et al.
Journal of NeuroEngineering and Rehabilitation (2014) Vol. 11, Iss. 1, pp. 36-36
Open Access | Times Cited: 66
Gait Event Detection during Stair Walking Using a Rate Gyroscope
Paola Catalfamo Formento, Rubén Acevedo, Salim Ghoussayni, et al.
Sensors (2014) Vol. 14, Iss. 3, pp. 5470-5485
Open Access | Times Cited: 61
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