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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:

Classification of Gait Type Based on Deep Learning Using Various Sensors with Smart Insole
Sung-Sin Lee, Sang Tae Choi, Sang‐Il Choi
Sensors (2019) Vol. 19, Iss. 8, pp. 1757-1757
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications
Zixuan Zhang, Tianyiyi He, Minglu Zhu, et al.
npj Flexible Electronics (2020) Vol. 4, Iss. 1
Open Access | Times Cited: 313
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses
Huong Thi Thu Vu, Dianbiao Dong, Hoang-Long Cao, et al.
Sensors (2020) Vol. 20, Iss. 14, pp. 3972-3972
Open Access | Times Cited: 94
Deep ensemble learning approach for lower extremity activities recognition using wearable sensors
Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik
Expert Systems (2021) Vol. 39, Iss. 6
Closed Access | Times Cited: 79
Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges
Sophini Subramaniam, Sumit Majumder, Abu Ilius Faisal, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 438-438
Open Access | Times Cited: 65
Human gait recognition: A systematic review
Veenu Rani, Munish Kumar
Multimedia Tools and Applications (2023) Vol. 82, Iss. 24, pp. 37003-37037
Closed Access | Times Cited: 27
Machine Learning‐Enhanced Triboelectric Sensing Application
Ruzhi Shang, Huamin Chen, Xu Cai, et al.
Advanced Materials Technologies (2024) Vol. 9, Iss. 7
Closed Access | Times Cited: 10
Smart insoles review (2008-2021): Applications, potentials, and future
Ibrahim Almuteb, Rui Hua, Ya Wang
Smart Health (2022) Vol. 25, pp. 100301-100301
Open Access | Times Cited: 28
Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep Learning
Ivana Kiprijanovska, Hristijan Gjoreski, Matjaž Gams
Sensors (2020) Vol. 20, Iss. 18, pp. 5373-5373
Open Access | Times Cited: 46
Pre-Impact Fall Detection Based on Multi-Source CNN Ensemble
Lan Wang, Min Peng, Qingfeng Zhou
IEEE Sensors Journal (2020) Vol. 20, Iss. 10, pp. 5442-5451
Closed Access | Times Cited: 40
Pathological Gait Classification Using Early and Late Fusion of Foot Pressure and Skeleton Data
Muhammad Tahir Naseem, Haneol Seo, Nahyun Kim, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 558-558
Open Access | Times Cited: 4
A systematic review of artificial neural network techniques for analysis of foot plantar pressure
Chongguang Wang, Kerrie Evans, Dean S. Hartley, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 197-208
Open Access | Times Cited: 4
Instant gait classification for hip osteoarthritis patients: a non-wearable sensor approach utilizing Pearson correlation, SMAPE, and GMM
Wiha Choi, Hieyong Jeong, Sehoon Oh, et al.
Biomedical Engineering Letters (2025) Vol. 15, Iss. 2, pp. 301-310
Open Access
Smart Footwear Insole for Recognition of Foot Pronation and Supination Using Neural Networks
Manuel Domínguez-Morales, Francisco Luna-Perejón, Lourdes Miró-Amarante, et al.
Applied Sciences (2019) Vol. 9, Iss. 19, pp. 3970-3970
Open Access | Times Cited: 39
People Walking Classification Using Automotive Radar
Linda Senigagliesi, Gianluca Ciattaglia, Adelmo De Santis, et al.
Electronics (2020) Vol. 9, Iss. 4, pp. 588-588
Open Access | Times Cited: 30
Foot type classification using sensor-enabled footwear and 1D-CNN
Zhanyong Mei, Kamen Ivanov, Guoru Zhao, et al.
Measurement (2020) Vol. 165, pp. 108184-108184
Open Access | Times Cited: 29
Real-time walking gait terrain classification from foot-mounted Inertial Measurement Unit using Convolutional Long Short-Term Memory neural network
Rui Moura Coelho, J. Baptista Gouveia, Miguel Ayala Botto, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117306-117306
Open Access | Times Cited: 18
Recent Innovations in Footwear and the Role of Smart Footwear in Healthcare—A Survey
G. R. Pradyumna, Roopa B. Hegde, Bommegowda Kabbala Basavarajappa, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4301-4301
Open Access | Times Cited: 3
User Identification from Gait Analysis Using Multi-Modal Sensors in Smart Insole
Sang‐Il Choi, Jucheol Moon, Hee-Chan Park, et al.
Sensors (2019) Vol. 19, Iss. 17, pp. 3785-3785
Open Access | Times Cited: 28
Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns
Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6253-6253
Open Access | Times Cited: 26
Deep Learning for Walking Behaviour Detection in Elderly People Using Smart Footwear
Rocío Aznar-Gimeno, Gorka Labata-Lezaun, Ana Adell, et al.
Entropy (2021) Vol. 23, Iss. 6, pp. 777-777
Open Access | Times Cited: 20
Deep Learning-Based Multimodal Abnormal Gait Classification Using a 3D Skeleton and Plantar Foot Pressure
Kooksung Jun, Sanghyub Lee, Deok-Won Lee, et al.
IEEE Access (2021) Vol. 9, pp. 161576-161589
Open Access | Times Cited: 20
Gait Trajectory Prediction on an Embedded Microcontroller Using Deep Learning
Mohamed Karakish, Moustafa A. Fouz, A. Elsawaf
Sensors (2022) Vol. 22, Iss. 21, pp. 8441-8441
Open Access | Times Cited: 14
Smart Shoe Insole Based on Polydimethylsiloxane Composite Capacitive Sensors
Francisco Luna-Perejón, Blas Salvador, Fernando Perez‐Peña, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1298-1298
Open Access | Times Cited: 7
A Gait Phase Detection Method in Complex Environment Based on DTW-Mean Templates
Liping Huang, Jianbin Zheng, HU Hua-cheng
IEEE Sensors Journal (2021) Vol. 21, Iss. 13, pp. 15114-15123
Closed Access | Times Cited: 14
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