OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Comparative study on classifying human activities with miniature inertial and magnetic sensors
Kerem Altun, Billur Barshan, Orkun Tunçel
Pattern Recognition (2010) Vol. 43, Iss. 10, pp. 3605-3620
Open Access | Times Cited: 521

Showing 1-25 of 521 citing articles:

Physical Human Activity Recognition Using Wearable Sensors
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, et al.
Sensors (2015) Vol. 15, Iss. 12, pp. 31314-31338
Open Access | Times Cited: 712

Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices
Mostafa Haghi, Kerstin Thurow, Regina Stoll
Healthcare Informatics Research (2017) Vol. 23, Iss. 1, pp. 4-4
Open Access | Times Cited: 633

Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures
Ran Nathan, Orr Spiegel, Scott Fortmann‐Roe, et al.
Journal of Experimental Biology (2012) Vol. 215, Iss. 6, pp. 986-996
Open Access | Times Cited: 441

Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units
Billur Barshan, Murat Cihan Yüksek
The Computer Journal (2013) Vol. 57, Iss. 11, pp. 1649-1667
Closed Access | Times Cited: 301

Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, et al.
IEEE Access (2020) Vol. 8, pp. 210816-210836
Open Access | Times Cited: 280

Recent trends in machine learning for human activity recognition—A survey
Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 8, Iss. 4
Open Access | Times Cited: 272

Human Activity Recognition Using Inertial/Magnetic Sensor Units
Kerem Altun, Billur Barshan
Lecture notes in computer science (2010), pp. 38-51
Closed Access | Times Cited: 259

The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication
Trung Thanh Ngo, Yasushi Makihara, Hajime Nagahara, et al.
Pattern Recognition (2013) Vol. 47, Iss. 1, pp. 228-237
Open Access | Times Cited: 257

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang, Yaxuan Li, Shen Zhang, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1476-1476
Open Access | Times Cited: 257

Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users
Melania Susi, Valérie Renaudin, G. Lachapelle
Sensors (2013) Vol. 13, Iss. 2, pp. 1539-1562
Open Access | Times Cited: 218

Wearable Inertial Sensors for Human Motion Analysis: A Review
Irvin Hussein López-Nava, Angelica Muñoz-Meléndez
IEEE Sensors Journal (2016) Vol. 16, Iss. 22, pp. 7821-7834
Closed Access | Times Cited: 211

A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition
Majid Janidarmian, Atena Roshan Fekr, Katarzyna Radecka, et al.
Sensors (2017) Vol. 17, Iss. 3, pp. 529-529
Open Access | Times Cited: 192

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Basheer Qolomany, Ala Al‐Fuqaha, Ajay Gupta, et al.
IEEE Access (2019) Vol. 7, pp. 90316-90356
Open Access | Times Cited: 191

Benchmarking TinyML Systems: Challenges and Direction
Colby Banbury, Vijay Janapa Reddi, Max W. Y. Lam, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 183

Sensor-Based Datasets for Human Activity Recognition – A Systematic Review of Literature
Emiro De-La-Hoz-Franco, Paola Ariza-Colpas, Javier Medina-Quero, et al.
IEEE Access (2018) Vol. 6, pp. 59192-59210
Open Access | Times Cited: 173

Algorithms for Automatic Analysis and Classification of Heart Sounds–A Systematic Review
Amit Krishna Dwivedi, Syed Anas Imtiaz, Esther Rodriguez–Villegas
IEEE Access (2018) Vol. 7, pp. 8316-8345
Open Access | Times Cited: 162

A Survey on Deep Learning for Human Activity Recognition
Fuqiang Gu, Mu-Huan Chung, Mark Chignell, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 8, pp. 1-34
Closed Access | Times Cited: 154

An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression
D. Trabelsi, Samer Mohammed, Faïcel Chamroukhi, et al.
IEEE Transactions on Automation Science and Engineering (2013) Vol. 10, Iss. 3, pp. 829-835
Open Access | Times Cited: 163

Application of data fusion techniques and technologies for wearable health monitoring
Rachel King, Emma Villeneuve, Ruth White, et al.
Medical Engineering & Physics (2017) Vol. 42, pp. 1-12
Open Access | Times Cited: 159

Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network
Yu‐Liang Hsu, Shih-Chin Yang, Hsing-Cheng Chang, et al.
IEEE Access (2018) Vol. 6, pp. 31715-31728
Open Access | Times Cited: 158

Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening
Heeryon Cho, Sang Won Yoon
Sensors (2018) Vol. 18, Iss. 4, pp. 1055-1055
Open Access | Times Cited: 152

Analysis of animal accelerometer data using hidden Markov models
Vianey Leos‐Barajas, Theoni Photopoulou, Roland Langrock, et al.
Methods in Ecology and Evolution (2016) Vol. 8, Iss. 2, pp. 161-173
Open Access | Times Cited: 144

HARKE: Human Activity Recognition from Kinetic Energy Harvesting Data in Wearable Devices
Sara Khalifa, Guohao Lan, Mahbub Hassan, et al.
IEEE Transactions on Mobile Computing (2017) Vol. 17, Iss. 6, pp. 1353-1368
Open Access | Times Cited: 144

Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition
Skyler Seto, Wenyu Zhang, Yichen Zhou
IEEE Symposium Series on Computational Intelligence (2015)
Open Access | Times Cited: 142

Page 1 - Next Page

Scroll to top