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:

Markerless gait analysis based on a single RGB camera
Xiao Gu, Fani Deligianni, Benny Lo, et al.
(2018), pp. 42-45
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Applications and limitations of current markerless motion capture methods for clinical gait biomechanics
Logan Wade, Laurie Needham, Polly McGuigan, et al.
PeerJ (2022) Vol. 10, pp. e12995-e12995
Open Access | Times Cited: 181

3D Tracking of Human Motion Using Visual Skeletonization and Stereoscopic Vision
Matteo Zago, Matteo Luzzago, Tommaso Marangoni, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 119

Validation of a 3D Markerless System for Gait Analysis Based on OpenPose and Two RGB Webcams
Erika D’Antonio, Juri Taborri, Ilaria Mileti, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 15, pp. 17064-17075
Closed Access | Times Cited: 68

The Potential of Computer Vision-Based Marker-Less Human Motion Analysis for Rehabilitation
Thomas Hellstén, Jonny Karlsson, Muhammed Shamsuzzaman, et al.
Rehabilitation Process and Outcome (2021) Vol. 10
Open Access | Times Cited: 60

Detection and assessment of Parkinson's disease based on gait analysis: A survey
Yao Guo, Jianxin Yang, Yuxuan Liu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 41

3-D Canonical Pose Estimation and Abnormal Gait Recognition With a Single RGB-D Camera
Yao Guo, Fani Deligianni, Xiao Gu, et al.
IEEE Robotics and Automation Letters (2019) Vol. 4, Iss. 4, pp. 3617-3624
Open Access | Times Cited: 68

From Emotions to Mood Disorders: A Survey on Gait Analysis Methodology
Fani Deligianni, Yao Guo, Guang‐Zhong Yang
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 23, Iss. 6, pp. 2302-2316
Open Access | Times Cited: 64

Deepfakes for Medical Video De-Identification
Bingquan Zhu, Hao Fang, Yanan Sui, et al.
(2020), pp. 414-420
Open Access | Times Cited: 55

Effective evaluation of HGcnMLP method for markerless 3D pose estimation of musculoskeletal diseases patients based on smartphone monocular video
Rui Hu, Yanan Diao, Yingchi Wang, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 7

Cross-Subject and Cross-Modal Transfer for Generalized Abnormal Gait Pattern Recognition
Xiao Gu, Yao Guo, Fani Deligianni, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 2, pp. 546-560
Open Access | Times Cited: 49

Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
Christina Salchow-Hömmen, Matej Skrobot, Magdalena C. E. Jochner, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 26

Comparing the Accuracy of Markerless Motion Analysis and Optoelectronic System for Measuring Gait Kinematics of Lower Limb
Luca Emanuele Molteni, Giuseppe Andreoni
Bioengineering (2025) Vol. 12, Iss. 4, pp. 424-424
Open Access

Two-step deep-learning identification of heel keypoints from video-recorded gait
Kjartan Halvorsen, Wei Peng, Fredrik Olsson, et al.
Medical & Biological Engineering & Computing (2024)
Open Access | Times Cited: 3

Gait analysis with videogrammetry can differentiate healthy elderly, mild cognitive impairment, and Alzheimer's disease: A cross-sectional study
Felipe de Oliveira Silva, José Vinícius Ferreira, Jéssica Plácido, et al.
Experimental Gerontology (2019) Vol. 131, pp. 110816-110816
Closed Access | Times Cited: 25

EMG-based Abnormal Gait Detection and Recognition
Yao Guo, Raffaele Gravina, Xiao Gu, et al.
2020 IEEE International Conference on Human-Machine Systems (ICHMS) (2020), pp. 1-6
Closed Access | Times Cited: 23

User Profiling to Enhance Clinical Assessment and Human–Robot Interaction: A Feasibility Study
Laura Fiorini, Luigi Coviello, Alessandra Sorrentino, et al.
International Journal of Social Robotics (2022) Vol. 15, Iss. 3, pp. 501-516
Open Access | Times Cited: 13

Towards Single Camera Human 3D-Kinematics
Marian Bittner, Wei-Tse Yang, Xucong Zhang, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 341-341
Open Access | Times Cited: 13

Spatiotemporal Gait Measurement With a Side-View Depth Sensor Using Human Joint Proposals
Andrew Hynes, Stephen Czarnuch, Megan C. Kirkland, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 5, pp. 1758-1769
Open Access | Times Cited: 18

Walking Speed Estimation and Gait Classification Using Plantar Pressure and On-Device Deep Learning
Hyuntae Cho
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23336-23347
Closed Access | Times Cited: 6

Estimation of Lower Limb Joint Angles Using sEMG Signals and RGB-D Camera
Guoming Du, Zhen Ding, Hao Guo, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1026-1026
Open Access | Times Cited: 2

IMU-Kinect
Peicheng Yang, Lei Xie, Chuyu Wang, et al.
(2019), pp. 350-353
Closed Access | Times Cited: 17

Walking Gait Speed Measurement U sing Privacy Respecting AI Enabled Visual Sensor
Ashi Agarwal, Frank Knoefel, Bruce Wallace, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Closed Access | Times Cited: 8

Unsupervised Domain Adaptation for Position-Independent IMU Based Gait Analysis
Fangzhi Mu, Xiao Gu, Yao Guo, et al.
IEEE Sensors (2020)
Open Access | Times Cited: 11

Monocular 3D Human Pose Markerless Systems for Gait Assessment
Xuqi Zhu, Issam Boukhennoufa, Bernard X. W. Liew, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 653-653
Open Access | Times Cited: 4

Walking Gait Measurement and Analysis via Knee Angle Movement and Foot Plantar Pressures
Sudsanguan Ngamsuriyaroj, Waree Chira-Adisai, Suppakorn Somnuk, et al.
(2018), pp. 1-6
Closed Access | Times Cited: 11

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