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:

Deep Learning-Based Energy Expenditure Estimation in Assisted and Non-Assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors
João Lopes, Joana Figueiredo, Pedro Fonseca, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7913-7913
Open Access | Times Cited: 14

Showing 14 citing articles:

Recent Developments and Future Directions of Wearable Skin Biosignal Sensors
Dohyung Kim, JinKi Min, Seung Hwan Ko
Advanced Sensor Research (2023) Vol. 3, Iss. 2
Open Access | Times Cited: 19

A contactless monitoring system for accurately predicting energy expenditure during treadmill walking based on an ensemble neural network
Shangjun Huang, Houde Dai, Xiaoming Yu, et al.
iScience (2024) Vol. 27, Iss. 3, pp. 109093-109093
Open Access | Times Cited: 5

Advancing Health Analytics: Random Forest Regression Models for Caloric Expenditure in Varied Activities
Ahmed Younes Shdefat, Nour Mostafa, Mohammad Salman, et al.
Lecture notes in networks and systems (2025), pp. 531-543
Closed Access

Efficacy of Robot-Assisted Gait Therapy Compared to Conventional Therapy or Treadmill Training in Children with Cerebral Palsy: A Systematic Review with Meta-Analysis
Irene Cortés‐Pérez, Noelia González-González, Ana Belén Peinado-Rubia, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9910-9910
Open Access | Times Cited: 16

IMU-Based Energy Expenditure Estimation for Various Walking Conditions Using a Hybrid CNN–LSTM Model
Chang June Lee, Jung Keun Lee
Sensors (2024) Vol. 24, Iss. 2, pp. 414-414
Open Access | Times Cited: 1

Human-in-the-Loop Optimization of Knee Exoskeleton Assistance for Minimizing User’s Metabolic and Muscular Effort
Sara Monteiro, Joana Figueiredo, Pedro Fonseca, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3305-3305
Open Access | Times Cited: 1

Towards a more efficient human-exoskeleton assistance
Sara Monteiro, Joana Figueiredo, Cristina P. Santos
(2023), pp. 181-186
Open Access | Times Cited: 2

Comparative Analysis between IMU Signal-based Neural Network Models for Energy Expenditure Estimation
Chang June Lee, Jung Keun Lee
Journal of the Korean Society for Precision Engineering (2024) Vol. 41, Iss. 3, pp. 191-198
Closed Access

Correlation of cervical-inspiratory-muscle electromyography and oxygen uptake during treadmill walking
Kenta Kawamura, Kazumichi Ae, Rinri UEMATSU, et al.
Respiratory Physiology & Neurobiology (2024) Vol. 325, pp. 104266-104266
Closed Access

A Dual-Stream Fusion Network for Human Energy Expenditure Estimation with Wearable Sensor
Shuo Xiao, Zhiyu Wang, Chaogang Tang, et al.
International Journal of Computational Intelligence and Applications (2024)
Closed Access

Spatial-Temporal Fusion Network with Hybrid Attention for Energy Expenditure Prediction Based on Multi-Sensor
Wenjin Xu, Wei Meng, Chang Zhu, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2024), pp. 1-6
Closed Access

Combining Multi-branch Pyramid Pooling Module and BiGRU for Human Energy Expenditure Estimation Using Wearable Sensors
Hancheng Zuo, Dandan Zhou, Jiukai Deng
2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP) (2024), pp. 526-529
Closed Access

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