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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:

EMG-based Abnormal Gait Detection and Recognition
Yao Guo, Raffaele Gravina, Xiao Gu, et al.
2020 IEEE International Conference on Human-Machine Systems (ICHMS) (2020), pp. 1-6
Closed Access | Times Cited: 23

Showing 23 citing articles:

Wearable sensors for activity monitoring and motion control: A review
Xiaoming Wang, Hongliu Yu, Søren Kold, et al.
Biomimetic Intelligence and Robotics (2023) Vol. 3, Iss. 1, pp. 100089-100089
Open Access | Times Cited: 60
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Yao Guo, Jianxin Yang, Yuxuan Liu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 38
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
Gait phases recognition based on lower limb sEMG signals using LDA-PSO-LSTM algorithm
Shibo Cai, Dipei Chen, Bingfei Fan, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104272-104272
Closed Access | Times Cited: 23
MCDCD: Multi-Source Unsupervised Domain Adaptation for Abnormal Human Gait Detection
Yao Guo, Xiao Gu, Guang‐Zhong Yang
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 10, pp. 4017-4028
Closed Access | Times Cited: 29
Data-Driven Modeling for Gait Phase Recognition in a Wearable Exoskeleton Using Estimated Forces
Kyeong-Won Park, Jungsu Choi, Kyoungchul Kong
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 4, pp. 3072-3086
Closed Access | Times Cited: 7
Multi-Channel FES Gait Rehabilitation Assistance System Based on Adaptive sEMG Modulation
Chunfu Lu, Ruite Ge, Zhichuan Tang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3652-3663
Open Access | Times Cited: 7
Data-Driven Stroke Classification Utilizing Electromyographic Muscle Features and Machine Learning Techniques
Jaehyuk Lee, Young Jun Kim, Eunchan Kim
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8430-8430
Open Access | Times Cited: 2
Deep Learning and IoT-Based Ankle–Foot Orthosis for Enhanced Gait Optimization
Ferdous Rahman Shefa, Fahim Hossain Sifat, Jia Uddin, et al.
Healthcare (2024) Vol. 12, Iss. 22, pp. 2273-2273
Open Access | Times Cited: 1
Channel-Aware Gait-Cycle-Based Transmission in Wireless Body Area Networks
Vinícius Ferreira, Célio Albuquerque, Débora C. Muchaluat-Saade
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 10009-10017
Closed Access | Times Cited: 7
Semiring-Optic-Fiber (SROF) Sensor-Based Abnormal Gait Recognition via Monitoring Muscle Activation
Wuxiang Zhang, Linhang Ju, Hanze Jia, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19307-19317
Closed Access | Times Cited: 3
On the Pose Estimation Software for Measuring Movement Features in the Finger-to-Nose Test
Enrico Martini, Nicola Valè, Michele Boldo, et al.
(2022), pp. 77-86
Closed Access | Times Cited: 4
An Attention-based Deep CNN-BiLSTM Model for Forecasting of Fatigue-induced Surface Electromyography Signals During Isotonic Contractions
Smriti Bala, Deepak Joshi
(2022)
Open Access | Times Cited: 4
Preserving Data Privacy and Accuracy of Human Pose Estimation Software Based on CNN s for Remote Gait Analysis
Enrico Martini, Michele Boldo, Stefano Aldegheri, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3468-3471
Closed Access | Times Cited: 3
A Movement Classification of Polymyalgia Rheumatica Patients Using Myoelectric Sensors
Anthony Bawa, Konstantinos Banitsas, Maysam Abbod
Sensors (2024) Vol. 24, Iss. 5, pp. 1500-1500
Open Access
Poster: Motion Sensor Based Dragging Feet Detection Using Lightweight Classification Model
Michelle X. Zhou, Shuangquan Wang
(2024), pp. 191-192
Closed Access
An Advanced Technique for the Detection of Pathological Gaits from Electromyography Signals: A Comprehensive Approach
Karina Lenkevitciute, Jurgita Žižienė, Kristina Daunoravičienė
Machines (2024) Vol. 12, Iss. 8, pp. 581-581
Open Access
Assessing Credibility in Bayesian Networks Structure Learning
V. Barth, Fábio Viadanna Serrão, Carlos Dias Maciel
Entropy (2024) Vol. 26, Iss. 10, pp. 829-829
Open Access
Cross-speed and Cross-posture Gait Phase Partitioning Based on Multi-modal Data
Jionghui Liu, Fumin Jia, Yonglin Wu, et al.
(2024), pp. 1-4
Closed Access
Classification of EEG Signals Using a Common Spatial Pattern Based Motor-Imagery for a Lower-limb Rehabilitation Exoskeleton
Chih‐Jer Lin, Chia-Hui Lin
(2023), pp. 764-769
Closed Access | Times Cited: 1
IoT-Based Smart Ankle-Foot Orthosis for Patients with Gait Imbalance
Ferdous Rahman Shefa, Fahim Hossain Sifat, Sayed Chhattan Shah, et al.
(2023), pp. 969-974
Closed Access | Times Cited: 1
System Design For EMG Wearables
Vamsidhar Naik Guggulothu, Anshu Sarje
(2022), pp. 1-4
Closed Access | Times Cited: 1
An Attention-based Deep CNN-BiLSTM Model for Forecasting of Fatigue-induced Surface Electromyography Signals During Isotonic Contractions
Smriti Bala, Deepak Joshi
(2022)
Open Access
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