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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:

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

Showing 26-50 of 712 citing articles:

Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation
Md Abdullah Al Hafiz Khan, Nirmalya Roy, Archan Misra
(2018), pp. 1-9
Open Access | Times Cited: 129
Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal
Jin Zhang, Fuxiang Wu, Bo Wei, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 6, pp. 4628-4641
Open Access | Times Cited: 128
A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry
Salvatore Tedesco, John Barton, Brendan O’Flynn
Sensors (2017) Vol. 17, Iss. 6, pp. 1277-1277
Open Access | Times Cited: 127
Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0
Xiaochen Zheng, Meiqing Wang, Joaquín Ordieres‐Meré
Sensors (2018) Vol. 18, Iss. 7, pp. 2146-2146
Open Access | Times Cited: 127
Gait analysis in neurological populations: Progression in the use of wearables
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Medical Engineering & Physics (2020) Vol. 87, pp. 9-29
Open Access | Times Cited: 124
A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process
Prosanta Gope, Youcef Gheraibia, Sohag Kabir, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 3, pp. 862-873
Open Access | Times Cited: 114
Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers
Maxwell Fordjour Antwi‐Afari, Heng Li, Yantao Yu, et al.
Automation in Construction (2018) Vol. 96, pp. 433-441
Closed Access | Times Cited: 112
How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls?
Martin Gjoreski, Hristijan Gjoreski, Mitja Luštrek, et al.
Sensors (2016) Vol. 16, Iss. 6, pp. 800-800
Open Access | Times Cited: 109
Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch
David Burns, Nathan Leung, Michael Hardisty, et al.
Physiological Measurement (2018) Vol. 39, Iss. 7, pp. 075007-075007
Open Access | Times Cited: 102
Human Activity Recognition Using Smartphones
Erhan Bülbül, Aydın Çetin, İbrahim Alper Doğru
2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2018), pp. 1-6
Closed Access | Times Cited: 101
Automatic Recognition of Activities of Daily Living Utilizing Insole-Based and Wrist-Worn Wearable Sensors
Nagaraj Hegde, Matthew Bries, Tracy Swibas, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 4, pp. 979-988
Closed Access | Times Cited: 97
Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour
E. K. Walton, Christy Casey, Jürgen Mitsch, et al.
Royal Society Open Science (2018) Vol. 5, Iss. 2, pp. 171442-171442
Open Access | Times Cited: 94
Accelerometry Data in Health Research: Challenges and Opportunities
Marta Karas, Jiawei Bai, Marcin Stra̧czkiewicz, et al.
Statistics in Biosciences (2019) Vol. 11, Iss. 2, pp. 210-237
Open Access | Times Cited: 91
Data-Driven Based Approach to Aid Parkinson’s Disease Diagnosis
Nicolas Khoury, Ferhat Attal, Yacine Amirat, et al.
Sensors (2019) Vol. 19, Iss. 2, pp. 242-242
Open Access | Times Cited: 91
IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning
Tobias Zimmermann, Bertram Taetz, Gabriele Bleser
Sensors (2018) Vol. 18, Iss. 1, pp. 302-302
Open Access | Times Cited: 89
A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction
Yegang Du, Yuto Lim, Yasuo Tan
Sensors (2019) Vol. 19, Iss. 20, pp. 4474-4474
Open Access | Times Cited: 88
A Study of Accelerometer and Gyroscope Measurements in Physical Life-Log Activities Detection Systems
Ahmad Jalal, Majid Ali Khan Quaid, Sheikh Badar ud din Tahir, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6670-6670
Open Access | Times Cited: 88
Smartwatch-based Human Activity Recognition Using Hybrid LSTM Network
Sakorn Mekruksavanich, Anuchit Jitpattanakul
IEEE Sensors (2020)
Closed Access | Times Cited: 86
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors
Srikanth Sagar Bangaru, Chao Wang, Sri Aditya Busam, et al.
Automation in Construction (2021) Vol. 126, pp. 103653-103653
Open Access | Times Cited: 85
SmartWall: Novel RFID-Enabled Ambient Human Activity Recognition Using Machine Learning for Unobtrusive Health Monitoring
George Oguntala, Raed A. Abd‐Alhameed, Nazar Ali, et al.
IEEE Access (2019) Vol. 7, pp. 68022-68033
Open Access | Times Cited: 83
Human Activity Recognition Based on Improved Bayesian Convolution Network to Analyze Health Care Data Using Wearable IoT Device
Zhiqing Zhou, Heng Yu, Hesheng Shi
IEEE Access (2020) Vol. 8, pp. 86411-86418
Open Access | Times Cited: 79
Smartphone-Based Activity Recognition for Indoor Localization Using a Convolutional Neural Network
Baoding Zhou, Jun Yang, Qingquan Li
Sensors (2019) Vol. 19, Iss. 3, pp. 621-621
Open Access | Times Cited: 78
Effective inertial sensor quantity and locations on a body for deep learning-based worker's motion recognition
Kinam Kim, Yong K. Cho
Automation in Construction (2020) Vol. 113, pp. 103126-103126
Closed Access | Times Cited: 77
A Survey on Anomalous Behavior Detection for Elderly Care Using Dense-Sensing Networks
Samundra Deep, Xi Zheng, Chandan Karmakar, et al.
IEEE Communications Surveys & Tutorials (2019) Vol. 22, Iss. 1, pp. 352-370
Closed Access | Times Cited: 76
Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach
Ilaria Conforti, Ilaria Mileti, Zaccaria Del Prete, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1557-1557
Open Access | Times Cited: 72

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