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:

A review of analytical techniques for gait data. Part 2: neural network and wavelet methods
Tom Chau
Gait & Posture (2001) Vol. 13, Iss. 2, pp. 102-120
Closed Access | Times Cited: 294

Showing 1-25 of 294 citing articles:

Human movement analysis using stereophotogrammetry
Alberto Leardini, Lorenzo Chiari, Ugo Della Croce, et al.
Gait & Posture (2004) Vol. 21, Iss. 2, pp. 212-225
Closed Access | Times Cited: 1153

Gait variability: methods, modeling and meaning
Jeffrey M. Hausdorff
Journal of NeuroEngineering and Rehabilitation (2005) Vol. 2, Iss. 1
Open Access | Times Cited: 821

Human movement analysis using stereophotogrammetry
Aurelio Cappozzo, Ugo Della Croce, Alberto Leardini, et al.
Gait & Posture (2004) Vol. 21, Iss. 2, pp. 186-196
Closed Access | Times Cited: 815

Gait dynamics, fractals and falls: Finding meaning in the stride-to-stride fluctuations of human walking
Jeffrey M. Hausdorff
Human Movement Science (2007) Vol. 26, Iss. 4, pp. 555-589
Open Access | Times Cited: 787

Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly
Bijan Najafi, Kamiar Aminian, Anisoara Paraschiv-Ionescu, et al.
IEEE Transactions on Biomedical Engineering (2003) Vol. 50, Iss. 6, pp. 711-723
Closed Access | Times Cited: 762

PCA in studying coordination and variability: a tutorial
Andreas Daffertshofer, Claudine J. C. Lamoth, Onno G. Meijer, et al.
Clinical Biomechanics (2004) Vol. 19, Iss. 4, pp. 415-428
Closed Access | Times Cited: 643

Activity identification using body-mounted sensors—a review of classification techniques
Stephen Preece, John Y. Goulermas, Laurence Kenney, et al.
Physiological Measurement (2009) Vol. 30, Iss. 4, pp. R1-R33
Open Access | Times Cited: 579

Gait dynamics in Parkinson’s disease: Common and distinct behavior among stride length, gait variability, and fractal-like scaling
Jeffrey M. Hausdorff
Chaos An Interdisciplinary Journal of Nonlinear Science (2009) Vol. 19, Iss. 2
Open Access | Times Cited: 556

Direct measurement of human movement by accelerometry
Alan Godfrey, Richard Conway, David Meagher, et al.
Medical Engineering & Physics (2008) Vol. 30, Iss. 10, pp. 1364-1386
Closed Access | Times Cited: 555

A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data
Stephen Preece, John Y. Goulermas, Laurence Kenney, et al.
IEEE Transactions on Biomedical Engineering (2008) Vol. 56, Iss. 3, pp. 871-879
Closed Access | Times Cited: 528

Quantification of human motion: gait analysis—benefits and limitations to its application to clinical problems
Sheldon R. Simon
Journal of Biomechanics (2004) Vol. 37, Iss. 12, pp. 1869-1880
Closed Access | Times Cited: 510

The use of artificial neural networks in decision support in cancer: A systematic review
Paulo Lisböa, Azzam Taktak
Neural Networks (2006) Vol. 19, Iss. 4, pp. 408-415
Closed Access | Times Cited: 461

Biomechanical features of gait waveform data associated with knee osteoarthritis
Kevin J. Deluzio, Janie L. Astephen Wilson
Gait & Posture (2006) Vol. 25, Iss. 1, pp. 86-93
Closed Access | Times Cited: 412

Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
Chandra Prakash, Rajesh Kumar, Namita Mittal
Artificial Intelligence Review (2016) Vol. 49, Iss. 1, pp. 1-40
Closed Access | Times Cited: 236

Explaining the differences of gait patterns between high and low-mileage runners with machine learning
Datao Xu, Wenjing Quan, Huiyu Zhou, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 98

A new method proposed for realizing human gait pattern recognition: Inspirations for the application of sports and clinical gait analysis
Datao Xu, Huiyu Zhou, Wenjing Quan, et al.
Gait & Posture (2023) Vol. 107, pp. 293-305
Closed Access | Times Cited: 57

A review of analytical techniques for gait data. Part 1: fuzzy, statistical and fractal methods
Tom Chau
Gait & Posture (2001) Vol. 13, Iss. 1, pp. 49-66
Closed Access | Times Cited: 373

Capturing human motion using body‐fixed sensors: outdoor measurement and clinical applications
Kamiar Aminian, Bijan Najafi
Computer Animation and Virtual Worlds (2004) Vol. 15, Iss. 2, pp. 79-94
Open Access | Times Cited: 267

Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations
Rinat Khusainov, Djamel Azzi, Ifeyinwa E. Achumba, et al.
Sensors (2013) Vol. 13, Iss. 10, pp. 12852-12902
Open Access | Times Cited: 163

Analysis of Big Data in Gait Biomechanics: Current Trends and Future Directions
Angkoon Phinyomark, Giovanni Petri, Esther Ibáñez‐Marcelo, et al.
Journal of Medical and Biological Engineering (2017) Vol. 38, Iss. 2, pp. 244-260
Open Access | Times Cited: 150

Computational Intelligence in Gait Research: A Perspective on Current Applications and Future Challenges
Daniel Lai, Rezaul Begg, Marimuthu Palaniswami
IEEE Transactions on Information Technology in Biomedicine (2009) Vol. 13, Iss. 5, pp. 687-702
Closed Access | Times Cited: 148

Recognition of Affect Based on Gait Patterns
Michelle Karg, Kolja Kühnlenz, Martin Buss
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (2010) Vol. 40, Iss. 4, pp. 1050-1061
Closed Access | Times Cited: 145

Explaining the unique nature of individual gait patterns with deep learning
Fabian Horst, Sebastian Lapuschkin, Wojciech Samek, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 142

Investigations of coagulation–flocculation process by performance optimization, model prediction and fractal structure of flocs
Huaili Zheng, Guocheng Zhu, Shaojie Jiang, et al.
Desalination (2010) Vol. 269, Iss. 1-3, pp. 148-156
Closed Access | Times Cited: 139

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

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