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:

Falls Risk Classification of Older Adults Using Deep Neural Networks and Transfer Learning
Matthew Martinez, Phillip L. De León
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 1, pp. 144-150
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Transfer learning for non-image data in clinical research: A scoping review
Andreas Ebbehøj, Mette Østergaard Poulsen, Ole Emil Andersen, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 2, pp. e0000014-e0000014
Open Access | Times Cited: 39

Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: a review
Lunzhao Yi, Wenfu Wang, Yuhua Diao, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 180, pp. 117944-117944
Closed Access | Times Cited: 8

Deep learning based fall detection using smartwatches for healthcare applications
Gökhan Şengül, Murat Karakaya, Sanjay Misra, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103242-103242
Closed Access | Times Cited: 53

Fall risk classification with posturographic parameters in community-dwelling older adults: a machine learning and explainable artificial intelligence approach
Huey‐Wen Liang, Rasoul Ameri, Shahab S. Band, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 6

An Artificial Intelligence Based Technique for COVID-19 Diagnosis from Chest X-Ray
Saddam Bekhet, M. Hassaballah, Mourad A. Kenk, et al.
2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) (2020), pp. 191-195
Closed Access | Times Cited: 39

Transfer Learning With Time Series Data: A Systematic Mapping Study
Manuel Weber, Maximilian Auch, Christoph Doblander, et al.
IEEE Access (2021) Vol. 9, pp. 165409-165432
Open Access | Times Cited: 39

Recent use of deep learning techniques in clinical applications based on gait: a survey
Yume Matsushita, Dinh Tuan Tran, Hirotake Yamazoe, et al.
Journal of Computational Design and Engineering (2021) Vol. 8, Iss. 6, pp. 1499-1532
Open Access | Times Cited: 32

Real-Time Clinical Gait Analysis and Foot Anomalies Detection Using Pressure Sensors and Convolutional Neural Network
M. Shujah Islam, Musarrat Tabassum, Mirza Muntasir Nishat, et al.
2022 7th International Conference on Business and Industrial Research (ICBIR) (2022), pp. 717-722
Closed Access | Times Cited: 22

A novel graph-based hybrid deep learning of cumulative GRU and deeper GCN for recognition of abnormal gait patterns using wearable sensors
Jianning Wu, Jie‐Sheng Huang, Xiaoyan Wu, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120968-120968
Closed Access | Times Cited: 15

Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data
Lina Chato, Emma Regentova
Journal of Personalized Medicine (2023) Vol. 13, Iss. 12, pp. 1703-1703
Open Access | Times Cited: 13

Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence
Carlo Dindorf, Jonas Dully, Jürgen Konradi, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 4

MhNet: Multi-scale spatio-temporal hierarchical network for real-time wearable fall risk assessment of the elderly
Shibin Wu, Jianlin Ou, Lin Shu, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105355-105355
Closed Access | Times Cited: 19

Assessment of postural sway with a pendant-mounted wearable sensor
Shubo Lyu, Andris Freivalds, Danielle Symons Downs, et al.
Gait & Posture (2021) Vol. 92, pp. 199-205
Closed Access | Times Cited: 17

Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones
Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 13

Fall prediction in a quiet standing balance test via machine learning: Is it possible?
Juliana Pennone, Natasha Fioretto Aguero, Daniel Marczuk Martini, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0296355-e0296355
Open Access | Times Cited: 1

A Virtual Reality-Based Simulation Tool for Assessing the Risk of Falls in Older Adults
Muhammad Asif Ahmad, Élvio Rúbio Gouveia, Sergi Bermúdez i Badia
(2024)
Open Access | Times Cited: 1

A Virtual Reality-Based Simulation Tool for Assessing the Risk of Falls in Older Adults
Muhammad Asif Ahmad, Élvio Rúbio Gouveia, Sergi Bermúdez i Badia
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6251-6251
Open Access | Times Cited: 1

Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature
Brian Douthit, Rachel Walden, Kenrick Cato, et al.
Applied Clinical Informatics (2022) Vol. 13, Iss. 01, pp. 161-179
Open Access | Times Cited: 7

A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect
Taekyoung Kim, Xiaoqun Yu, Shuping Xiong
Ergonomics (2023) Vol. 67, Iss. 1, pp. 50-68
Open Access | Times Cited: 3

Anomaly Detection From Low-Dimensional Latent Manifolds With Home Environmental Sensors
Francisco-Manuel Melgarejo-Meseguer, Andrés L. Bleda, Sergio Eduardo Abbenante, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 13411-13423
Closed Access | Times Cited: 3

SFDA: Domain Adaptation With Source Subject Fusion Based on Multi-Source and Single-Target Fall Risk Assessment
Shibin Wu, Lin Shu, Zhen Song, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4907-4920
Open Access | Times Cited: 2

Deep-Learning Technique for Risk-Based Action Prediction Using Extremely Low-Resolution Thermopile Sensor Array
Igor Morawski, Wen‐Nung Lie, Lee Aing, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 33, Iss. 6, pp. 2852-2863
Closed Access | Times Cited: 3

Fall Detection Based on Graph Neural Networks with Variable Time Windows
Jiawei Wei, Junjie Li, Yuqing Liu, et al.
Journal of Advanced Computational Intelligence and Intelligent Informatics (2024) Vol. 28, Iss. 4, pp. 974-982
Open Access

The evolution of frailty assessment using inertial measurement sensor‐based gait parameter measurements: A detailed analysis
Arslan Amjad, Shahzad Qaiser, Monika Błaszczyszyn, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Open Access

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