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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:

Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs
Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
(2022)
Open Access | Times Cited: 12

Showing 12 citing articles:

A Study on the Application of TensorFlow Compression Techniques to Human Activity Recognition
Chiara Contoli, Emanuele Lattanzi
IEEE Access (2023) Vol. 11, pp. 48046-48058
Open Access | Times Cited: 13
Decision Tree-Based Real-Time Personalized Human Activity Recognition and Fall Detection Utilizing Cost Effective Highly Resource-Constrained Microcontrollers
Athar Noor Mohammad Rafee, Md Abu Obaida Zishan, Jannatun Noor
(2025)
Closed Access
Making Machine Learning More Energy Efficient by Bringing It Closer to the Sensor
Marius Brehler, Lucas Camphausen, Benjamin Heidebroek, et al.
IEEE Micro (2023) Vol. 43, Iss. 6, pp. 11-18
Open Access | Times Cited: 3
An Unsupervised Method to Recognise Human Activity at Home Using Non-Intrusive Sensors
Raúl Gómez Ramos, Jaime Duque-Domingo, Eduardo Zalama, et al.
Electronics (2023) Vol. 12, Iss. 23, pp. 4772-4772
Open Access | Times Cited: 3
Rejection Ensembles with Online Calibration
Sebastian Buschjäger
Lecture notes in computer science (2024), pp. 3-20
Closed Access
Deploying human activity recognition in embedded RISC-V processors
Willian Analdo Nunes, Rafael Schild Reusch, Lucas Luza, et al.
Design Automation for Embedded Systems (2024)
Closed Access
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference
Chen Xie, Alessio Burrello, Francesco Daghero, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2065-2065
Open Access | Times Cited: 1
Energy Efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition
Chiara Contoli, Emanuele Lattanzi
IFIP advances in information and communication technology (2023), pp. 102-113
Closed Access | Times Cited: 1
A Microcontroller-Based Platform for Cognitive Tracking of Sensorimotor Training
Matteo Antonio Scrugli, Bojan Blažica, Luigi Raffo, et al.
IEEE Access (2023) Vol. 11, pp. 70778-70794
Open Access | Times Cited: 1
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
Combining Decision Tree and Convolutional Neural Network for Energy Efficient On-Device Activity Recognition
Marius Brehler, Lucas Camphausen
(2023)
Closed Access | Times Cited: 1
Unsupervised Human Activity Recognition Approach in Multi-User Households
Raúl Gómez-Ramos, Jaime Duque-Domingo, Eduardo Zalama, et al.
(2023)
Closed Access
ATwo-Stage IoT Window Intrusion Detection System
Lars Mathuseck, Johann Götz, Michel Morold, et al.
(2023), pp. 1-6
Closed Access
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