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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 Comprehensive Study of Activity Recognition Using Accelerometers
Niall Twomey, Tom Diethe, Xenofon Fafoutis, et al.
Informatics (2018) Vol. 5, Iss. 2, pp. 27-27
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Measurement of physical activity in clinical practice using accelerometers
Daniel Arvidsson, Jonatan Fridolfsson, Mats Börjesson
Journal of Internal Medicine (2019) Vol. 286, Iss. 2, pp. 137-153
Open Access | Times Cited: 183
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Hang Yuan, Shing Chan, Andrew P. Creagh, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 38
An IoT-Based Design Using Accelerometers in Animal Behavior Recognition Systems
Duc-Nghia Tran, Tu N. Nguyen, Phung Cοng Phi Khanh, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 18, pp. 17515-17528
Closed Access | Times Cited: 90
HARTH: A Human Activity Recognition Dataset for Machine Learning
Aleksej Logacjov, Kerstin Bach, Atle Kongsvold, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7853-7853
Open Access | Times Cited: 59
Human activity recognition with smartphone-integrated sensors: A survey
Vincenzo Dentamaro, Vincenzo Gattulli, Donato Impedovo, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123143-123143
Open Access | Times Cited: 15
A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices
Alejandro Baldominos, Alejandro Cervantes, Yago Sáez, et al.
Sensors (2019) Vol. 19, Iss. 3, pp. 521-521
Open Access | Times Cited: 61
Human Activity Recognition Based on Dynamic Active Learning
Haixia Bi, Miquel Perelló-Nieto, Raúl Santos‐Rodríguez, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 4, pp. 922-934
Closed Access | Times Cited: 60
LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes
Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4083-4083
Open Access | Times Cited: 56
Human activity classification using Decision Tree and Naïve Bayes classifiers
Kholoud Maswadi, Norjihan Abdul Ghani, Suraya Hamid, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 14, pp. 21709-21726
Closed Access | Times Cited: 52
Deep Learning Classification of Canine Behavior Using a Single Collar-Mounted Accelerometer: Real-World Validation
Robert Chambers, Nathanael C. Yoder, Aletha Carson, et al.
Animals (2021) Vol. 11, Iss. 6, pp. 1549-1549
Open Access | Times Cited: 50
SelfPAB: large-scale pre-training on accelerometer data for human activity recognition
Aleksej Logacjov, Sverre Herland, Astrid Ustad, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4545-4563
Open Access | Times Cited: 7
Human Activity Recognition for Production and Logistics—A Systematic Literature Review
Christopher Reining, Friedrich Niemann, Fernando Moya Rueda, et al.
Information (2019) Vol. 10, Iss. 8, pp. 245-245
Open Access | Times Cited: 53
A Low Power Fall Sensing Technology Based on FD-CNN
Jian He, Zihao Zhang, Xiaoyi Wang, et al.
IEEE Sensors Journal (2019) Vol. 19, Iss. 13, pp. 5110-5118
Closed Access | Times Cited: 48
A Comprehensive Study of Activity Recognition Using Accelerometers
Niall Twomey, Tom Diethe, Xenofon Fafoutis, et al.
(2018)
Open Access | Times Cited: 43
A Microservices e-Health System for Ecological Frailty Assessment Using Wearables
Francisco M. García-Moreno, María Bermúdez-Edo, José Luis García Garrido, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3427-3427
Open Access | Times Cited: 38
Exploring the computational cost of machine learning at the edge for human-centric Internet of Things
Oihane Gómez–Carmona, Diego Casado–Mansilla, Frank Alexander Kraemer, et al.
Future Generation Computer Systems (2020) Vol. 112, pp. 670-683
Open Access | Times Cited: 36
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization
Alan Mazankiewicz, Klemens Böhm, Mario Bergés
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2020) Vol. 4, Iss. 4, pp. 1-20
Open Access | Times Cited: 34
Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring
Aleš Procházka, Ondřej Dostál, Pavel Cejnar, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 360-367
Open Access | Times Cited: 32
Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study
Pin-Wei Chen, Nathan A. Baune, Igor Zwir, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 4, pp. 1634-1634
Open Access | Times Cited: 31
A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living
Kerstin Bach, Atle Kongsvold, Hilde Bremseth Bårdstu, et al.
Journal for the Measurement of Physical Behaviour (2021) Vol. 5, Iss. 1, pp. 24-31
Open Access | Times Cited: 31
Training and Validating a Machine Learning Model for the Sensor-Based Monitoring of Lying Behavior in Dairy Cows on Pasture and in the Barn
Lara Schmeling, Golnaz Elmamooz, Phan Thai Hoang, et al.
Animals (2021) Vol. 11, Iss. 9, pp. 2660-2660
Open Access | Times Cited: 30
Applying Machine Learning for Sensor Data Analysis in Interactive Systems
Thomas Plötz
ACM Computing Surveys (2021) Vol. 54, Iss. 6, pp. 1-25
Closed Access | Times Cited: 27
Development of a multi-wear-site, deep learning-based physical activity intensity classification algorithm using raw acceleration data
Johan Y. Y. Ng, Joni H. Zhang, Stanley Sai‐chuen Hui, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299295-e0299295
Open Access | Times Cited: 4
Scheduling Computational and Energy Harvesting Tasks in Deadline-Aware Intermittent Systems
Bashima Islam, Shahriar Nirjon
(2020), pp. 95-109
Closed Access | Times Cited: 31
An Industrial IoT Solution for Evaluating Workers' Performance Via Activity Recognition
Abdur Rahim Mohammad Forkan, Federico Montori, Dimitrios Georgakopoulos, et al.
(2019)
Closed Access | Times Cited: 30
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