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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:

Kinematic gait patterns in healthy runners: A hierarchical cluster analysis
Angkoon Phinyomark, Sean T. Osis, Blayne A. Hettinga, et al.
Journal of Biomechanics (2015) Vol. 48, Iss. 14, pp. 3897-3904
Closed Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

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: 237
Biomechanical Risk Factors Associated with Running-Related Injuries: A Systematic Review
Linde Ceyssens, Romy Vanelderen, Christian J. Barton, et al.
Sports Medicine (2019) Vol. 49, Iss. 7, pp. 1095-1115
Closed Access | Times Cited: 195
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Dimple Sethi, Sourabh Bharti, Chandra Prakash
Artificial Intelligence in Medicine (2022) Vol. 129, pp. 102314-102314
Closed Access | Times Cited: 91
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
Gait biomechanics in the era of data science
Reed Ferber, Sean T. Osis, Jennifer L. Hicks, et al.
Journal of Biomechanics (2016) Vol. 49, Iss. 16, pp. 3759-3761
Open Access | Times Cited: 92
A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns
Susanne Jauhiainen, Andrew J. Pohl, Sami Äyrämö, et al.
Scandinavian Journal of Medicine and Science in Sports (2020) Vol. 30, Iss. 4, pp. 732-740
Closed Access | Times Cited: 51
Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions
Nizam Uddin Ahamed, Dylan Kobsar, Lauren C. Benson, et al.
PLoS ONE (2018) Vol. 13, Iss. 9, pp. e0203839-e0203839
Open Access | Times Cited: 55
Automatic Recognition of Gait phases Using a Multiple Regression Hidden Markov Model
Ferhat Attal, Yacine Amirat, Abdelghani Chibani, et al.
IEEE/ASME Transactions on Mechatronics (2018), pp. 1-1
Closed Access | Times Cited: 48
Validity and reliability of a smartphone motion analysis app for lower limb kinematics during treadmill running
Seyed Hamed Mousavi, Juha M. Hijmans, Forough Moeini, et al.
Physical Therapy in Sport (2020) Vol. 43, pp. 27-35
Open Access | Times Cited: 45
Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU
H S Asgari, Ben Heller
Sensors (2025) Vol. 25, Iss. 2, pp. 315-315
Open Access
Can BlazePose Accurately Assess Joint Angles in Outdoor Running Environments?
Hari Krishnan Srinivasan, Jaison Jacob Mathunny, Ashokkumar Devaraj, et al.
Biomedical Human Kinetics (2025) Vol. 17, Iss. 1, pp. 13-25
Open Access
Classification of Kinematic Coupling Patterns Between Lower Limb Joints During Running
Shiori Hiratsuka, Tomoya Takabayashi, Takahiro Watanabe, et al.
Journal of Orthopaedic Research® (2025)
Closed Access
The development of mature gait patterns in children during walking and running
Margit M. Bach, Andreas Daffertshofer, Nadia Dominici
European Journal of Applied Physiology (2021) Vol. 121, Iss. 4, pp. 1073-1085
Open Access | Times Cited: 30
A three-dimensional musculoskeletal model of the dog
Heiko Stark, Martin S. Fischer, Alexander Hunt, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 28
Vision-based approaches towards person identification using gait
Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek
Computer Science Review (2021) Vol. 42, pp. 100432-100432
Closed Access | Times Cited: 28
Higher pain level and lower functional capacity are associated with the number of altered kinematics in women with patellofemoral pain
Deisi Ferrari, Ronaldo Valdir Briani, Danilo de Oliveira Silva, et al.
Gait & Posture (2017) Vol. 60, pp. 268-272
Closed Access | Times Cited: 33
Which Factors Influence Running Gait in Children and Adolescents? A Narrative Review
Anthony Sudlow, Paul Galantine, Fabrice Vercruyssen, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4621-4621
Open Access | Times Cited: 10
Subject-specific sensitivity of several biomechanical features to fatigue during an exhaustive treadmill run
Christos Chalitsios, Thomas Nikodelis, Georgios Mavrommatis, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Estimation of Joint Torque by EMG-Driven Neuromusculoskeletal Models and LSTM Networks
Longbin Zhang, Davit Soselia, Ruoli Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3722-3731
Open Access | Times Cited: 8
Neuromechanical synergies in single-leg landing reveal changes in movement control
Andrew D. Nordin, Janet S. Dufek
Human Movement Science (2016) Vol. 49, pp. 66-78
Closed Access | Times Cited: 26
Gait Kinematics in Individuals with Acute and Chronic Patellofemoral Pain
Aaron Fox, Reed Ferber, Natalie Saunders, et al.
Medicine & Science in Sports & Exercise (2017) Vol. 50, Iss. 3, pp. 502-509
Closed Access | Times Cited: 25
Objective classification and scoring of movement deficiencies in patients with anterior cruciate ligament reconstruction
Chris Richter, Enda King, Siobhán Strike, et al.
PLoS ONE (2019) Vol. 14, Iss. 7, pp. e0206024-e0206024
Open Access | Times Cited: 23
A hierarchical clustering approach for examining potential risk factors for bone stress injury in runners
Jack A. Martin, Mikel R. Stiffler-Joachim, Christa M. Wille, et al.
Journal of Biomechanics (2022) Vol. 141, pp. 111136-111136
Open Access | Times Cited: 13
Running-Related Injury Incidence: Does It Correlate with Kinematic Sub-groups of Runners? A Scoping Review
L. Adamson, Liam Vandamme, Trevor Prior, et al.
Sports Medicine (2024) Vol. 54, Iss. 5, pp. 1163-1178
Open Access | Times Cited: 2
Runners with patellofemoral pain demonstrate sub-groups of pelvic acceleration profiles using hierarchical cluster analysis: an exploratory cross-sectional study
Ricky Watari, Sean T. Osis, Angkoon Phinyomark, et al.
BMC Musculoskeletal Disorders (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 21
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