Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Optimisation of a machine learning algorithm in human locomotion using principal component and discriminant function analyses
Maria Bisele, Martin Bencsik, Martin Lewis, et al.
PLoS ONE (2017) Vol. 12, Iss. 9, pp. e0183990-e0183990
Open Access | Times Cited: 13

Showing 13 citing articles:

The prediction of swarming in honeybee colonies using vibrational spectra
Michael Ramsey, Martin Bencsik, Michael I. Newton, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 76
Machine Learning Analysis for Quantitative Discrimination of Dried Blood Droplets
Lama Hamadeh, Samia Imran, Martin Bencsik, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 42
Adaptive predictive systems applied to gait analysis: A systematic review
Rafael Caldas, Tariq Fadel, Fernando Buarque, et al.
Gait & Posture (2020) Vol. 77, pp. 75-82
Closed Access | Times Cited: 39
Segmentation of Lung in Chest Radiographs Using Hull and Closed Polygonal Line Method
Tao Peng, Yihuai Wang, Thomas Canhao Xu, et al.
IEEE Access (2019) Vol. 7, pp. 137794-137810
Open Access | Times Cited: 39
Hybrid Automatic Lung Segmentation on Chest CT Scans
Tao Peng, Thomas Canhao Xu, Yihuai Wang, et al.
IEEE Access (2020) Vol. 8, pp. 73293-73306
Open Access | Times Cited: 29
Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs
Tao Peng, Thomas Canhao Xu, Yihuai Wang, et al.
The Computer Journal (2020) Vol. 65, Iss. 5, pp. 1107-1128
Closed Access | Times Cited: 29
Automatic Classification of Barefoot and Shod Populations Based on the Foot Metrics and Plantar Pressure Patterns
Liangliang Xiang, Yaodong Gu, Qichang Mei, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 11
Semi-Automatic Prostate Segmentation From Ultrasound Images Using Machine Learning and Principal Curve Based on Interpretable Mathematical Model Expression
Tao Peng, Caiyin Tang, Yiyun Wu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
The Future of Data‐Driven Wound Care
Jon S. Woods, Mayur Saxena, Tasha Nagamine, et al.
AORN Journal (2018) Vol. 107, Iss. 4, pp. 455-463
Closed Access | Times Cited: 13
A scoping review of applications of artificial intelligence in kinematics and kinetics of ankle sprains - current state-of-the-art and future prospects
Yun Xin Teoh, Jwan K. Alwan, Darshan Shah, et al.
Clinical Biomechanics (2024) Vol. 113, pp. 106188-106188
Closed Access
Using Lower Limb Wearable Sensors to Identify Gait Modalities: A Machine-Learning-Based Approach
Liam David Hughes, Martin Bencsik, Maria Bisele, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9241-9241
Open Access | Times Cited: 1
Are Torque-Driven Simulation Models of Human Movement Limited by an Assumption of Monoarticularity?
Martin Lewis, Maurice R. Yeadon, Mark A. King
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 3852-3852
Open Access | Times Cited: 3
Análisis de R&R por atributos que valora cuantitativamente el desempeño de un sistema de inspección visual
Luisa Carolina Jiménez Jiménez, Carmen Elena Patiño Rodríguez, Fernando Jesús Guevara Carazas
Ingeniare. Revista chilena de ingeniería (2022) Vol. 30, Iss. 3, pp. 466-481
Open Access
Page 1

Scroll to top