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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:

Human activity recognition of children with wearable devices using LightGBM machine learning
Gábor Csizmadia, Krisztina Liszkai-Peres, Bence Ferdinandy, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25

Showing 25 citing articles:

Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
Information Fusion (2023) Vol. 94, pp. 17-31
Closed Access | Times Cited: 90
Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit
Maya Hilda Lestari Louk, Bayu Adhi Tama
Algorithms (2022) Vol. 15, Iss. 9, pp. 332-332
Open Access | Times Cited: 28
A Novel Methodology for Human Kinematics Motion Detection Based on Smartphones Sensor Data Using Artificial Intelligence
Ali Raza, Mohammad Rustom Al Nasar, Essam Said Hanandeh, et al.
Technologies (2023) Vol. 11, Iss. 2, pp. 55-55
Open Access | Times Cited: 16
Predictive Attributes for Developing Long COVID—A Study Using Machine Learning and Real-World Data from Primary Care Physicians in Germany
Roman Kessler, J.C. Philipp, Joanna Wilfer, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 10, pp. 3511-3511
Open Access | Times Cited: 15
Modeling Viscosity of CO2–N2 Gaseous Mixtures Using Robust Tree-Based Techniques: Extra Tree, Random Forest, GBoost, and LightGBM
Haimin Zheng, Atena Mahmoudzadeh, Behnam Amiri-Ramsheh, et al.
ACS Omega (2023) Vol. 8, Iss. 15, pp. 13863-13875
Open Access | Times Cited: 13
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
Measuring walking convenience of Hong Kong resource recycling services: Utilizing a spatially refined model framework of multiple recyclable wastes
Tianrui Zhao, Xuanlong Shang, LI Li-pin, et al.
Resources Conservation and Recycling (2025) Vol. 215, pp. 108153-108153
Closed Access
An exploration of machine learning models for the determination of reaction coordinates associated with conformational transitions
Nawavi Naleem, Charlles R. A. Abreu, Krzysztof Warmuz, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 3
Open Access | Times Cited: 12
Remote sensing inversion of the Zabuye Salt Lake in Tibet, China using LightGBM algorithm
Jingjing Dai, Tingyue Liu, Yuanyi Zhao, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 10
Employment of Ensemble Machine Learning Methods for Human Activity Recognition
Tasnimul Hasan, Md. Faiyed Bin Karim, Mahin Khan Mahadi, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 15
Evaluating Behavior Recognition Pipeline of Laying Hens Using Wearable Inertial Sensors
Kaori Fujinami, Ryo Takuno, Itsufumi Sato, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5077-5077
Open Access | Times Cited: 8
Machine learning for enhancing prediction of biogas production and building a VFA/ALK soft sensor in full-scale dry anaerobic digestion of kitchen food waste
Jinlin Zou, Fan Lü, Long Chen, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123190-123190
Closed Access | Times Cited: 2
A Comparative Analysis of XGBoost and LightGBM Approaches for Human Activity Recognition: Speed and Accuracy Evaluation
Güzin Türkmen, Arda Sezen
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 2
Open Access | Times Cited: 1
Invited Paper: Hierarchical Activity Recognition with Smartwatch IMU
Ada Alevizaki, Nhat Pham, Niki Trigoni
(2023), pp. 48-57
Closed Access | Times Cited: 3
Activity recognition in rehabilitation training based on ensemble stochastic configuration networks
Wenhua Jiao, Ruilin Li, Jianguo Wang, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 21229-21245
Closed Access | Times Cited: 3
Optimal placement of IMU sensor for the detection of children activity
Magdalena Madej, Jacek Rumiński
(2022), pp. 1-6
Closed Access | Times Cited: 3
Towards a Multimodal Approach for Assessing ADHD Hyperactivity Behaviors
Franceli L. Cibrian, Lauren Min, Vincent Arnold
Lecture notes in networks and systems (2024), pp. 3-14
Closed Access
A Smartwatch-based Approach for Oral Health Monitoring using Deep Learning
E. Casilari, Francisco J. González-Cañete
(2024), pp. 343-350
Closed Access
NeuroHAR: A Neuroevolutionary Method for Human Activity Recognition (HAR) for Health Monitoring
Furqan Alam, Paweł Pławiak, Ahmed Almaghthawi, et al.
IEEE Access (2024) Vol. 12, pp. 112232-112248
Open Access
Greeting Gesture Analysis Using Boosting Algorithms and SHAP
Angga Wahyu Wibowo, Eri Sato-Shimokawara, Kurnianingsih Kurnianingsih
(2024), pp. 1-6
Closed Access
Emerging Machine Learning in Wearable Healthcare Sensors
Gandha Satria Adi, Inkyu Park
Journal of Sensor Science and Technology (2023) Vol. 32, Iss. 6, pp. 378-385
Open Access | Times Cited: 1
Smart Phone Sensor Data: Comparative Analysis of Various Classification Methods for Task of Human Activity Recognition
Tanveer Abbas Gadehi, Faheem Yar Khuhawar, Aftab Ahmed Memon, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 2
An Extensive Survey on Machine Learning-Enabled Automated Human Action Recognition Models
Lakshmi Alekhya Jandhyam, R. Ragupathy, Narayana Satyala
Lecture notes on data engineering and communications technologies (2023), pp. 431-444
Closed Access
AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection
Francesco Bergadano, Giorgio Giacinto, Olga Tushkanova, et al.
MDPI eBooks (2023)
Open Access
Behavior-specific binary machine learning models: Bout length of behavioral elements as biologically relevant parameter improves machine learning accuracy in analysis of dog behavior sequences
Gábor Csizmadia, Bálint Daróczy, Bence Ferdinandy, et al.
Research Square (Research Square) (2022)
Open Access
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