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:

Enabling Gait Analysis in the Telemedicine Practice through Portable and Accurate 3D Human Pose Estimation
Enrico Martini, Michele Boldo, Stefano Aldegheri, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 225, pp. 107016-107016
Closed Access | Times Cited: 20

Showing 20 citing articles:

On the reliability of single-camera markerless systems for overground gait monitoring
Michele Boldo, Roberto Di Marco, Enrico Martini, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108101-108101
Open Access | Times Cited: 9

Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera
Takumi Ino, Mina Samukawa, Tomoya Ishida, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9799-9799
Open Access | Times Cited: 18

Denoising and Completion Filters for Human Motion Software: a Survey with Code
Enrico Martini, Andrea Calanca, Nicola Bombieri
(2024)
Open Access | Times Cited: 5

Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
Yiwen Xu, Tariq Khan, Yang Song, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access

Review of models for estimating 3D human pose using deep learning
Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2574-e2574
Open Access

Deep learning in monocular 3D human pose estimation: Systematic review of contemporary techniques and applications
J. Divya Udayan, Jayakumar TV, Raghu Raman, et al.
Multimedia Tools and Applications (2025)
Closed Access

A conceptual framework and review of multi-method approaches for 3D markerless motion capture in sports and exercise
Habib Noorbhai, Sanghee Moon, Takashi Fukushima
Journal of Sports Sciences (2025), pp. 1-8
Open Access

FLK: A filter with learned kinematics for real-time 3D human pose estimation
Enrico Martini, Michele Boldo, Nicola Bombieri
Signal Processing (2024) Vol. 224, pp. 109598-109598
Open Access | Times Cited: 1

A Dynamic and Collaborative Deep Inference Framework for Human Motion Analysis in Telemedicine
Michele Boldo, Damiano Carra, Davide Quaglia, et al.
(2023), pp. 221-226
Closed Access | Times Cited: 2

A novel scoring approach for the Wolf Motor Function Test in stroke survivors using motion-sensing technology and machine learning: A preliminary study
Bo Sheng, Xiaohui Chen, Cheng Jian, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107887-107887
Closed Access | Times Cited: 2

CNN-based Pose Estimation to Assist Medical Imaging
Andrea Cattaneo, Alessia Zanni, Daniele Regazzoni
Lecture notes in mechanical engineering (2024), pp. 242-249
Closed Access

Improved markerless gait kinematics measurement using a biomechanically-aware algorithm with subject-specific geometric modeling
Mehran Hatamzadeh, Laurent Busé, Katia Turcot, et al.
Measurement (2024) Vol. 234, pp. 114857-114857
Open Access

A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction Scenarios
Enrico Martini, H.P. Parekh, Shaoting Peng, et al.
(2024), pp. 424-429
Open Access

Video-based Intake Gesture Recognition using Meal-length Context
Zeyu Tang, Adam Hoover
ACM Transactions on Computing for Healthcare (2024)
Closed Access

Knee Angle Generation with Walking Speed Adaptation Ability for a Powered Transfemoral Prosthetic Leg Prototype
I Wayan Dani Pranata, Phuc Thanh-Thien Nguyen, Kuo-Ho Su, et al.
Inventions (2023) Vol. 8, Iss. 3, pp. 67-67
Open Access | Times Cited: 1

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