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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:

An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model
Haoyu Li, Stéphane Derrode, Wojciech Pieczynski
Neurocomputing (2019) Vol. 362, pp. 94-105
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Deep ConvLSTM With Self-Attention for Human Activity Decoding Using Wearable Sensors
Satya P. Singh, Madan Kumar Sharma, A. Lay-Ekuakille, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 6, pp. 8575-8582
Open Access | Times Cited: 134
Activity Recognition for Ambient Assisted Living with Videos, Inertial Units and Ambient Sensors
Caetano Mazzoni Ranieri, Scott MacLeod, Mauro Dragone, et al.
Sensors (2021) Vol. 21, Iss. 3, pp. 768-768
Open Access | Times Cited: 52
Recent Advances in Pedestrian Navigation Activity Recognition: A Review
Qu Wang, Haiyong Luo, Qu Wang, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 8, pp. 7499-7518
Closed Access | Times Cited: 29
Artificial Neural Network-Based Activities Classification, Gait Phase Estimation, and Prediction
Shuangyue Yu, Jianfu Yang, Tzu-Hao Huang, et al.
Annals of Biomedical Engineering (2023) Vol. 51, Iss. 7, pp. 1471-1484
Closed Access | Times Cited: 13
IMU-Based Deep Neural Networks: Prediction of Locomotor and Transition Intentions of an Osseointegrated Transfemoral Amputee
Julian Bruinsma, Raffaella Carloni
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1079-1088
Open Access | Times Cited: 31
The Role of Surface Electromyography in Data Fusion with Inertial Sensors to Enhance Locomotion Recognition and Prediction
Lin Meng, Jun Pang, Ziyao Wang, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6291-6291
Open Access | Times Cited: 23
Human Activity Recognition: From Sensors to Applications
Faeghe Fereidoonian, Farshad Firouzi, Bahar Farahani
(2020), pp. 1-8
Closed Access | Times Cited: 20
Wearable Iontronic FMG for Classification of Muscular Locomotion
Peikai Zou, Yaxin Wang, Huaxuan Cai, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 2854-2863
Closed Access | Times Cited: 11
An Improved Deep Convolutional LSTM for Human Activity Recognition Using Wearable Sensors
Ningbo Zhang, Yang Song, Dongxu Fang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 2, pp. 1717-1729
Closed Access | Times Cited: 4
Impact-Aware Foot Motion Reconstruction and Ramp/Stair Detection Using One Foot-Mounted Inertial Measurement Unit
Y. Wang, Katherine Heidi Fehr, Peter G. Adamczyk
Sensors (2024) Vol. 24, Iss. 5, pp. 1480-1480
Open Access | Times Cited: 1
A novel fusion strategy for locomotion activity recognition based on multimodal signals
Fo Hu, Hong Wang, Naishi Feng, et al.
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102524-102524
Closed Access | Times Cited: 10
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data
Hugo Gangloff, Katherine Morales, Yohan Petetin
Computational Statistics & Data Analysis (2022) Vol. 180, pp. 107663-107663
Open Access | Times Cited: 6
ActiveSelfHAR: Incorporating Self-Training Into Active Learning to Improve Cross-Subject Human Activity Recognition
Baichun Wei, Chunzhi Yi, Qi Zhang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 6833-6847
Open Access | Times Cited: 3
Lower Limb Locomotion Activity Recognition of Healthy Individuals Using Semi-Markov Model and Single Wearable Inertial Sensor
Haoyu Li, Stéphane Derrode, Wojciech Pieczynski
Sensors (2019) Vol. 19, Iss. 19, pp. 4242-4242
Open Access | Times Cited: 8
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 6
Real-time recognition of human lower-limb locomotion based on exponential coordinates of relative rotations
Sen Xu, Ye Ding
Science China Technological Sciences (2021) Vol. 64, Iss. 7, pp. 1423-1435
Closed Access | Times Cited: 5
Highly Fast Text Segmentation With Pairwise Markov Chains
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, et al.
(2020), pp. 361-366
Open Access | Times Cited: 4
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-Based Human Activity Recognition
Lala Shakti Swarup Ray, Daniel Geißler, Mengxi Liu, et al.
Lecture notes in computer science (2024), pp. 133-147
Closed Access
Hybrid Graph Convolutional Networks for Skeleton-Based and EEG-Based Jumping Action Recognition
Naishi Feng, Fo Hu, Hong Wang, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 4156-4161
Closed Access | Times Cited: 4
A Novel BILSTM-CNN Method for Pattern Recognition in Real Time Under Triple Physical Loads in Lower Extremity Exoskeleton
Yifan Gao, Jianbin Zheng, Liping Huang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 15689-15701
Closed Access | Times Cited: 1
A Locomotion Mode Recognition Algorithm Using Adaptive Dynamic Movement Primitives
Hüseyin Eken, Francesco Lanotte, Vito Papapicco, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4318-4328
Open Access | Times Cited: 1
A Machine Learning-Based Online Human Motion Recognition System With Multiple Classifier for Exoskeleton
Lingyun Yan, Haohua Xiu, Yuyang Wei
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 31137-31147
Closed Access
Inertial Measurement Unit-Based Real-Time Adaptive Algorithm for Human Walking Pattern and Gait Event Detection
Yinxiao Lu, Jun Zhu, Wen‐Ming Chen, et al.
Electronics (2023) Vol. 12, Iss. 20, pp. 4319-4319
Open Access
Ambulation Prediction by Fusing Raw IMU Data and Novel sEMG Time-frequency Features
Bin Zhou, Hong Wang, Yanzheng Lu, et al.
2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) (2022), pp. 284-288
Closed Access
Highly Fast Text Segmentation With Pairwise Markov Chains
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, et al.
arXiv (Cornell University) (2021)
Closed Access
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