Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs
Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, et al.
IEEE Transactions on Computers (2021) Vol. 70, Iss. 8, pp. 1253-1268
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava
IEEE Sensors Journal (2022) Vol. 22, Iss. 22, pp. 21362-21390
Open Access | Times Cited: 112
Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode
Davide Rossi, Francesco Conti, Manuel Eggimann, et al.
IEEE Journal of Solid-State Circuits (2021) Vol. 57, Iss. 1, pp. 127-139
Open Access | Times Cited: 66
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2021) Vol. 11, Iss. 4, pp. 789-802
Open Access | Times Cited: 56
Hardware-Assisted Machine Learning in Resource-Constrained IoT Environments for Security: Review and Future Prospective
George Kornaros
IEEE Access (2022) Vol. 10, pp. 58603-58622
Open Access | Times Cited: 43
Tiny Machine Learning: Progress and Futures [Feature]
Ji Lin, Ligeng Zhu, Wei-Ming Chen, et al.
IEEE Circuits and Systems Magazine (2023) Vol. 23, Iss. 3, pp. 8-34
Open Access | Times Cited: 27
Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects
Angela Tafadzwa Shumba, Teodoro Montanaro, Ilaria Sergi, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6896-6896
Open Access | Times Cited: 25
Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs
Daniele Palossi, Nicky Zimmerman, Alessio Burrello, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 3, pp. 1913-1929
Open Access | Times Cited: 52
Embedded Machine Learning Using Microcontrollers in Wearable and Ambulatory Systems for Health and Care Applications: A Review
Maha S. Diab, Esther Rodriguez–Villegas
IEEE Access (2022) Vol. 10, pp. 98450-98474
Open Access | Times Cited: 34
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2022) Vol. 12, Iss. 2, pp. 422-435
Open Access | Times Cited: 28
A Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers
Paola Busia, Matteo Antonio Scrugli, Victor J. B. Jung, et al.
IEEE Transactions on Biomedical Circuits and Systems (2024) Vol. 19, Iss. 1, pp. 142-152
Open Access | Times Cited: 7
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices
Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, et al.
IEEE Transactions on Biomedical Circuits and Systems (2021) Vol. 15, Iss. 6, pp. 1196-1209
Open Access | Times Cited: 39
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, et al.
(2021), pp. 1-4
Open Access | Times Cited: 36
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Matteo Risso, Alessio Burrello, Francesco Conti, et al.
IEEE Transactions on Computers (2022), pp. 1-1
Open Access | Times Cited: 25
DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors
Enrico Tabanelli, Giuseppe Tagliavini, Luca Benini
ACM Transactions on Embedded Computing Systems (2023) Vol. 22, Iss. 3, pp. 1-33
Open Access | Times Cited: 14
A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey
Josu Díaz-de-Arcaya, Ana I. Torre-Bastida, Gorka Zárate, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-30
Open Access | Times Cited: 14
Integrating Machine Learning and MLOps for Wind Energy Forecasting: A Comparative Analysis and Optimization Study on Türkiye’s Wind Data
Saadin Oyucu, Ahmet Aksöz
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3725-3725
Open Access | Times Cited: 5
A Review on the emerging technology of TinyML
Vasileios Tsoukas, Anargyros Gkogkidis, Eleni Boumpa, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-37
Open Access | Times Cited: 5
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices
Francesco Daghero, Alessio Burrello, Massimo Poncino, et al.
Lecture notes in computer science (2025), pp. 46-58
Closed Access
Optimizing BFloat16 Deployment of Tiny Transformers on Ultra-Low Power Extreme Edge SoCs
Alberto Dequino, Luca Bompani, Luca Benini, et al.
Journal of Low Power Electronics and Applications (2025) Vol. 15, Iss. 1, pp. 8-8
Open Access
GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors
Nazareno Bruschi, Germain Haugou, Giuseppe Tagliavini, et al.
2022 IEEE 40th International Conference on Computer Design (ICCD) (2021), pp. 409-416
Open Access | Times Cited: 30
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, et al.
IEEE Transactions on Emerging Topics in Computing (2021) Vol. 9, Iss. 3, pp. 1489-1505
Open Access | Times Cited: 28
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC
Luca Valente, Yvan Tortorella, M. Sinigaglia, et al.
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 (2023), pp. 1-6
Open Access | Times Cited: 12
A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation
Luca Valente, Alessandro Nadalini, Asif Veeran, et al.
IEEE Transactions on Circuits and Systems I Regular Papers (2024) Vol. 71, Iss. 5, pp. 2266-2279
Closed Access | Times Cited: 4
Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs
Vlad Niculescu, Lorenzo Lamberti, Francesco Conti, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2021) Vol. 11, Iss. 4, pp. 548-562
Open Access | Times Cited: 25
Towards Deploying DNN Models on Edge for Predictive Maintenance Applications
Rick Pandey, Sebastian Uziel, Tino Hutschenreuther, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 639-639
Open Access | Times Cited: 10
Page 1 - Next Page

Scroll to top