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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:

A Survey of Online Activity Recognition Using Mobile Phones
Muhammad Shoaib, Stephan Bosch, Özlem Durmaz İncel, et al.
Sensors (2015) Vol. 15, Iss. 1, pp. 2059-2085
Open Access | Times Cited: 471

Showing 1-25 of 471 citing articles:

A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices
Daniele Ravì, Charence Wong, Benny Lo, et al.
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 1, pp. 56-64
Open Access | Times Cited: 409
Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors
Muhammad Shoaib, Stephan Bosch, Özlem Durmaz İncel, et al.
Sensors (2016) Vol. 16, Iss. 4, pp. 426-426
Open Access | Times Cited: 381
A Survey on Activity Detection and Classification Using Wearable Sensors
Maria Cornacchia, Koray Özcan, Yu Zheng, et al.
IEEE Sensors Journal (2016) Vol. 17, Iss. 2, pp. 386-403
Closed Access | Times Cited: 375
Advanced internet of things for personalised healthcare systems: A survey
Jun Qi, Po Yang, Geyong Min, et al.
Pervasive and Mobile Computing (2017) Vol. 41, pp. 132-149
Open Access | Times Cited: 369
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Henry Friday Nweke, Teh Ying Wah, Ghulam Mujtaba, et al.
Information Fusion (2018) Vol. 46, pp. 147-170
Closed Access | Times Cited: 351
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
Smartphone-based construction workers' activity recognition and classification
Reza Akhavian, Amir H. Behzadan
Automation in Construction (2016) Vol. 71, pp. 198-209
Closed Access | Times Cited: 241
Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview
Wesllen Sousa Lima, Eduardo Souto, Khalil El‐Khatib, et al.
Sensors (2019) Vol. 19, Iss. 14, pp. 3213-3213
Open Access | Times Cited: 217
Computer vision for assistive technologies
Marco Leo, Gérard Medioni, Mohan M. Trivedi, et al.
Computer Vision and Image Understanding (2016) Vol. 154, pp. 1-15
Closed Access | Times Cited: 211
Ergonomic analysis of construction worker's body postures using wearable mobile sensors
Nipun D. Nath, Reza Akhavian, Amir H. Behzadan
Applied Ergonomics (2017) Vol. 62, pp. 107-117
Open Access | Times Cited: 203
Tracking the Evolution of Smartphone Sensing for Monitoring Human Movement
Michael Del Rosario, Stephen J. Redmond, Nigel H. Lovell
Sensors (2015) Vol. 15, Iss. 8, pp. 18901-18933
Open Access | Times Cited: 185
Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors
Kun Wang, Jun He, Lei Zhang
IEEE Sensors Journal (2019) Vol. 19, Iss. 17, pp. 7598-7604
Open Access | Times Cited: 173
A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system
Md. Zia Uddin
Journal of Parallel and Distributed Computing (2018) Vol. 123, pp. 46-53
Closed Access | Times Cited: 160
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
A review and categorization of techniques on device-free human activity recognition
Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang
Journal of Network and Computer Applications (2020) Vol. 167, pp. 102738-102738
Open Access | Times Cited: 149
Automated cognitive health assessment in smart homes using machine learning
Abdul Rehman Javed, Labiba Gillani Fahad, Asma Ahmad Farhan, et al.
Sustainable Cities and Society (2020) Vol. 65, pp. 102572-102572
Closed Access | Times Cited: 143
Machine Learning‐Enabled Smart Sensor Systems
Nam Ha, Kai Xu, Guanghui Ren, et al.
Advanced Intelligent Systems (2020) Vol. 2, Iss. 9
Open Access | Times Cited: 138
Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
Mst. Alema Khatun, Mohammad Abu Yousuf, Sabbir Ahmed, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-16
Open Access | Times Cited: 130
AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices
Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 15, pp. 13041-13051
Open Access | Times Cited: 108
A review of machine learning-based human activity recognition for diverse applications
Farzana Kulsoom, Sanam Narejo, Zahid Mehmood, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 18289-18324
Closed Access | Times Cited: 75
Assessment of Human Activity Recognition based on Impact of Feature Extraction Prediction Accuracy
P. William, Govinda Rajulu Lanke, Dibyhash Bordoloi, et al.
(2023)
Closed Access | Times Cited: 57
Road Surface Monitoring Using Smartphone Sensors: A Review
Shahram Sattar, Songnian Li, Michael Chapman
Sensors (2018) Vol. 18, Iss. 11, pp. 3845-3845
Open Access | Times Cited: 155
Using Smart City Technology to Make Healthcare Smarter
Diane J. Cook, Glen E. Duncan, Gina Sprint, et al.
Proceedings of the IEEE (2018) Vol. 106, Iss. 4, pp. 708-722
Open Access | Times Cited: 154
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
A collaborative healthcare framework for shared healthcare plan with ambient intelligence
Abdul Rehman Javed, Muhammad Usman Sarwar, Mirza Omer Beg, et al.
Human-centric Computing and Information Sciences (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 130
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