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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:

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
Ricardo Chavarriaga, Hesam Sagha, Alberto Calatroni, et al.
Pattern Recognition Letters (2013) Vol. 34, Iss. 15, pp. 2033-2042
Open Access | Times Cited: 642

Showing 1-25 of 642 citing articles:

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Francisco Ordóñez, Daniel Roggen
Sensors (2016) Vol. 16, Iss. 1, pp. 115-115
Open Access | Times Cited: 2269
Deep learning for sensor-based activity recognition: A survey
Jindong Wang, Yiqiang Chen, Shuji Hao, et al.
Pattern Recognition Letters (2018) Vol. 119, pp. 3-11
Open Access | Times Cited: 1667
Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors
Ming Zeng, Le T. Nguyen, Bo Yu, et al.
(2014)
Open Access | Times Cited: 781
LSTM-CNN Architecture for Human Activity Recognition
Kun Xia, Jianguang Huang, Hanyu Wang
IEEE Access (2020) Vol. 8, pp. 56855-56866
Open Access | Times Cited: 620
Sensor-based and vision-based human activity recognition: A comprehensive survey
L. Minh Dang, Kyungbok Min, Hanxiang Wang, et al.
Pattern Recognition (2020) Vol. 108, pp. 107561-107561
Closed Access | Times Cited: 529
From action to activity: Sensor-based activity recognition
Ye Liu, Liqiang Nie, Li Liu, et al.
Neurocomputing (2015) Vol. 181, pp. 108-115
Closed Access | Times Cited: 478
Deep Recurrent Neural Networks for Human Activity Recognition
Abdulmajid Murad, Jae-Young Pyun
Sensors (2017) Vol. 17, Iss. 11, pp. 2556-2556
Open Access | Times Cited: 449
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Yu Guan, Thomas Plötz
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2017) Vol. 1, Iss. 2, pp. 1-28
Open Access | Times Cited: 447
Deep, convolutional, and recurrent models for human activity recognition using wearables
Nils Hammerla, Shane Halloran, Thomas Plötz
arXiv (Cornell University) (2016), pp. 1533-1540
Closed Access | Times Cited: 405
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
Action2Activity: recognizing complex activities from sensor data
Ye Liu, Liqiang Nie, Lei Han, et al.
International Conference on Artificial Intelligence (2015), pp. 1617-1623
Closed Access | Times Cited: 286
Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review
E. Ramanujam, Thinagaran Perumal, S. Padmavathi
IEEE Sensors Journal (2021) Vol. 21, Iss. 12, pp. 13029-13040
Open Access | Times Cited: 286
InnoHAR: A Deep Neural Network for Complex Human Activity Recognition
Cheng Xu, Duo Chai, Jie He, et al.
IEEE Access (2019) Vol. 7, pp. 9893-9902
Open Access | Times Cited: 281
Deep Learning for Sensor-based Human Activity Recognition
Kaixuan Chen, Dalin Zhang, Lina Yao, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 4, pp. 1-40
Closed Access | Times Cited: 274
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (2018) Vol. 18, Iss. 2, pp. 679-679
Open Access | Times Cited: 266
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen, Dalin Zhang, Lina Yao, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 259
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
Human activity recognition in artificial intelligence framework: a narrative review
Neha Gupta, Suneet Gupta, Rajesh Kumar Pathak, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 6, pp. 4755-4808
Open Access | Times Cited: 226
Stratified Transfer Learning for Cross-domain Activity Recognition
Jindong Wang, Yiqiang Chen, Lisha Hu, et al.
(2018), pp. 1-10
Open Access | Times Cited: 218
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
The Internet of Things: A Review of Enabled Technologies and Future Challenges
Ikram Ud Din, Mohsen Guizani, Suhaidi Hassan, et al.
IEEE Access (2018) Vol. 7, pp. 7606-7640
Open Access | Times Cited: 207
Transfer Learning
Qiang Yang, Yu Zhang, Wenyuan Dai, et al.
(2020)
Closed Access | Times Cited: 199
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
Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors
Fernando Moya Rueda, René Grzeszick, Gernot A. Fink, et al.
Informatics (2018) Vol. 5, Iss. 2, pp. 26-26
Open Access | Times Cited: 167
Biometric User Identification Based on Human Activity Recognition Using Wearable Sensors: An Experiment Using Deep Learning Models
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Electronics (2021) Vol. 10, Iss. 3, pp. 308-308
Open Access | Times Cited: 165
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