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:

Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
Francesco Daghero, Alessio Burrello, Chen Xie, et al.
(2021), pp. 1-6
Open Access | Times Cited: 6

Showing 6 citing articles:

Bridging Efficient and Explainable Traffic Flow Prediction on the Edge
Mario Barbareschi, Antonio Emmanuele, Nicola Mazzocca, et al.
Lecture notes on data engineering and communications technologies (2025), pp. 347-356
Closed Access

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

Optimizing Random Forest-Based Inference on RISC-V MCUs at the Extreme Edge
Enrico Tabanelli, Giuseppe Tagliavini, Luca Benini
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2022) Vol. 41, Iss. 11, pp. 4516-4526
Open Access | Times Cited: 7

Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
Francesco Daghero, Alessio Burrello, Enrico Macii, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 1, pp. 742-757
Open Access | Times Cited: 3

Model-Driven Dataset Generation for Data-Driven Battery SOH Models
Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, et al.
(2023), pp. 1-6
Open Access

Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers
Francesco Daghero, Alessio Burrello, Chen Xie, et al.
IFIP advances in information and communication technology (2022), pp. 25-47
Closed Access

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