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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:

Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis
Arif Reza Anwary, Hongnian Yu, Michael Vassallo
IEEE Sensors Journal (2018) Vol. 18, Iss. 6, pp. 2555-2567
Closed Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

A survey on wearable sensor modality centred human activity recognition in health care
Yan Wang, Shuang Cang, Hongnian Yu
Expert Systems with Applications (2019) Vol. 137, pp. 167-190
Open Access | Times Cited: 311
Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review
Hari Prasanth, Miroslav Caban, Urs Keller, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2727-2727
Open Access | Times Cited: 196
Human Gait Analysis in Neurodegenerative Diseases: A Review
Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 229-242
Open Access | Times Cited: 132
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Dimple Sethi, Sourabh Bharti, Chandra Prakash
Artificial Intelligence in Medicine (2022) Vol. 129, pp. 102314-102314
Closed Access | Times Cited: 91
A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart healthcare applications
S. Baskar, P. Mohamed Shakeel, R. Kumar, et al.
Computer Communications (2019) Vol. 149, pp. 17-26
Closed Access | Times Cited: 102
Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors
Luis Sigcha, Nélson Costa, Ignacio Pavón García, et al.
Sensors (2020) Vol. 20, Iss. 7, pp. 1895-1895
Open Access | Times Cited: 93
Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review
Abdul Saboor, Triin Kask, Alar Kuusik, et al.
IEEE Access (2020) Vol. 8, pp. 167830-167864
Open Access | Times Cited: 92
An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
Arif Reza Anwary, Hongnian Yu, Michael Vassallo
Sensors (2018) Vol. 18, Iss. 2, pp. 676-676
Open Access | Times Cited: 91
Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders
Wei-Chun Hsu, Tommy Sugiarto, Yi‐Jia Lin, et al.
Sensors (2018) Vol. 18, Iss. 10, pp. 3397-3397
Open Access | Times Cited: 86
How We Found Our IMU: Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications
Lin Zhou, Eric W. Fischer, Can Tunca, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4090-4090
Open Access | Times Cited: 70
A Review on Challenges in Telerehabilitation and Human Activity Recognition Approaches during Covid-19 Pandemic
Md. Mahmudur Rahman, Kok Beng Gan, Noor Azah Abd Aziz
Jurnal Kejuruteraan (2023) Vol. 35, Iss. 3, pp. 577-586
Open Access | Times Cited: 33
MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion
Sen Qiu, Long Liu, Hongyu Zhao, et al.
Micromachines (2018) Vol. 9, Iss. 9, pp. 442-442
Open Access | Times Cited: 63
Optimization of IMU Sensor Placement for the Measurement of Lower Limb Joint Kinematics
Wesley Niswander, Wei Wang, Kimberly Kontson
Sensors (2020) Vol. 20, Iss. 21, pp. 5993-5993
Open Access | Times Cited: 62
GAIT ANALYSIS USING IMU SENSOR
Trupti Gujarathi, Kalyani Bhole
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2019), pp. 1-5
Closed Access | Times Cited: 60
A walk in the park? Characterizing gait‐related artifacts in mobile EEG recordings
Nadine Jacobsen, Sarah Blum, Karsten Witt, et al.
European Journal of Neuroscience (2020) Vol. 54, Iss. 12, pp. 8421-8440
Open Access | Times Cited: 50
Stride segmentation of inertial sensor data using statistical methods for different walking activities
Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik
Robotica (2021) Vol. 40, Iss. 8, pp. 2567-2580
Closed Access | Times Cited: 44
Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review
Yonatan Hutabarat, Dai Owaki, Mitsuhiro Hayashibe
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26470-26487
Open Access | Times Cited: 41
Role of Wearable Sensors with Machine Learning Approaches in Gait Analysis for Parkinson's Disease Assessment: A Review
Aishwarya Balakrishnan, Jeevan Medikonda, Pramod K. Namboothiri, et al.
Engineered Science (2022)
Open Access | Times Cited: 36
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
Walking Gait Phase Detection Based on Acceleration Signals Using LSTM-DNN Algorithm
Tao Zhen, Lei Yan, Peng Yuan
Algorithms (2019) Vol. 12, Iss. 12, pp. 253-253
Open Access | Times Cited: 51
Systematic Review of Intelligent Algorithms in Gait Analysis and Prediction for Lower Limb Robotic Systems
Rania Kolaghassi, Mohamad Kenan Al-Hares, Konstantinos Sirlantzis
IEEE Access (2021) Vol. 9, pp. 113788-113812
Open Access | Times Cited: 37
Ambulatory Human Gait Phase Detection Using Wearable Inertial Sensors and Hidden Markov Model
Long Liu, Huihui Wang, Haorui Li, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1347-1347
Open Access | Times Cited: 34
Wearable Feet Pressure Sensor for Human Gait and Falling Diagnosis
Vytautas Bučinskas, Andrius Dzedzickis, Justė Rožėnė, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5240-5240
Open Access | Times Cited: 32
Hybrid Convtranslstm for Spatio-Temporal Classification: Identifying Early Parkinson's Disease from Gait Patterns
Muhammad Izzuddin Mahali, Cries Avian, Nur Achmad Sulistyo Putro, et al.
(2025)
Closed Access
Wearable gait analysis of Cervical Spondylotic Myelopathy patients by fusing bipedal inertial information
Xin Shi, Zhelong Wang, Sen Qiu, et al.
Information Fusion (2025), pp. 103115-103115
Closed Access
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