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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:

Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens
Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi
IEEE Access (2022) Vol. 10, pp. 83111-83124
Open Access | Times Cited: 13

Showing 13 citing articles:

An Experimental Study on the Energy Efficiency of Feature Selection for Human Activity Recognition with Wrist-Worn Devices
Susanna Peretti, Chiara Contoli, Emanuele Lattanzi
Lecture notes in computer science (2025), pp. 40-54
Closed Access
Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection
Robin Burchard, Kristof Van Laerhoven
Lecture notes in computer science (2025), pp. 55-68
Closed Access
Assessing Hand Hygiene in Food Manufacturing: The Feasibility of CCTV Surveillance.
Ellen W. Evans, Emma J. Samuel, Sharon Mayho, et al.
Food Control (2025), pp. 111282-111282
Closed Access
Leveraging Machine Learning for Disease Diagnoses Based on Wearable Devices: A Survey
Zhihan Jiang, Vera van Zoest, Weipeng Deng, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21959-21981
Closed Access | Times Cited: 7
A vision-based hand hygiene monitoring approach using self-attention convolutional neural network
Tianming Xie, Jing Tian, Lihong Ma
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103651-103651
Closed Access | Times Cited: 9
Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition
Emanuele Lattanzi, Lorenzo Calisti
(2023), pp. 15-22
Closed Access | Times Cited: 4
Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition
Emanuele Lattanzi, Lorenzo Calisti, Paolo Capellacci
Pervasive and Mobile Computing (2023) Vol. 96, pp. 101848-101848
Open Access | Times Cited: 4
Complexity-aware Features Selection for Wrist-worn Human Activity Recognition
Susanna Peretti, Chiara Contoli, Emanuele Lattanzi
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (2024), pp. 799-804
Closed Access | Times Cited: 1
Real-time detection of obsessive-compulsive hand washing with wearables: Research procedure, usefulness and discriminative performance
Karina Wahl, Philipp M. Scholl, Marcel Miché, et al.
Journal of Obsessive-Compulsive and Related Disorders (2023) Vol. 39, pp. 100845-100845
Open Access | Times Cited: 3
Detecting Hand Hygienic Behaviors In-the-Wild Using a Microphone and Motion Sensor on a Smartwatch
Haoyu Zhuang, Liqiang Xu, Yuuki Nishiyama, et al.
Lecture notes in computer science (2023), pp. 470-483
Closed Access | Times Cited: 2
Gesture recognition for Healthcare 4.0: a machine learning approach to reduce clinical infection risks
Bernardo Lanza, Enrico Ferlinghetti, Cristina Nuzzi, et al.
(2023), pp. 326-331
Closed Access | Times Cited: 2
A Study on the Energy Sustainability of Early Exit Networks for Human Activity Recognition
Emanuele Lattanzi, Chiara Contoli, Valerio Freschi
IEEE Transactions on Sustainable Computing (2023) Vol. 9, Iss. 1, pp. 61-74
Closed Access | Times Cited: 1
Location Adaptive Motion Recognition Based on Wi-Fi Feature Enhancement
Wei Shi, Meichen Duan, Hui He, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1320-1320
Open Access
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