Open Access Helper

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:

Moving Deep Learning to the Edge
Mário Véstias, Rui Policarpo Duarte, José T. de Sousa, et al.
Algorithms (2020) Vol. 13, Iss. 5, pp. 125-125
Open Access | Times Cited: 64

Showing 51-75 of 64 citing articles:

HBCA: A Toolchain for High-Accuracy Branch-Fused CNN Accelerator on FPGA with Dual-Decimal-Fused Technique
Zhengjie Li, Lingli Hou, Xinxuan Tao, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 192-192
Open Access | Times Cited: 1
Peer Review #2 of "Knowledge distillation in deep learning and its applications (v0.2)"
Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad
(2021)
Open Access | Times Cited: 1
Shifting Capsule Networks from the Cloud to the Deep Edge
Miguel Costa, Diogo Costa, Tiago Gomes, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Early Detection of Breast Cancer Using Thermal Images: A Study with Light Weight Deep Learning Models
Tina Babu, Seifedine Kadry, Sujatha Krishnamoorthy, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 371-382
Closed Access
Cloud-Edge Intelligent Collaborative Computing Model Based on Transfer Learning in IoT
Yang Long, Zhixin Li
Communications in computer and information science (2023), pp. 389-403
Closed Access
CKN: An Edge AI Distributed Framework
Sachith Withana, Beth Plale
(2023), pp. 1-10
Open Access
FAS-CT: FPGA-Based Acceleration System with Continuous Training
Manuel Luis González Hernandez, Jorge Ruiz, Randy Lozada, et al.
Annals of Computer Science and Information Systems (2023) Vol. 37, pp. 131-139
Open Access
Vibration Velocity Prediction with Regression and Forecasting Techniques for Axial Piston Pump
Paweł Fic, Adam Czornik, Piotr Rosikowski
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11636-11636
Open Access
NASEREX: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
A. S. Kapoor, Rajath Elias Soans, Soham Dixit, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 5266-5271
Closed Access
A fully automated framework for accelerating Deep Learning deployment for edge devices
Federico Fontana, Francesco Tosetti, Mattia Varile
(2023), pp. 1-7
Closed Access
Profiling the real world potential of neural network compression
Joe Lorentz, Assaad Moawad, Thomas Hartmann, et al.
(2022), pp. 1-6
Open Access
Peer Review #2 of "Knowledge distillation in deep learning and its applications (v0.1)"
Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad
(2021)
Open Access
Peer Review #1 of "Knowledge distillation in deep learning and its applications (v0.1)"
Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad
(2021)
Open Access
A pose-based hand image classification method retrainable on embedded target devices
A. Canepa, Edoardo Ragusa, Christian Gianoglio, et al.
2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS) (2021), pp. 1-6
Closed Access
Peer Review #1 of "Knowledge distillation in deep learning and its applications (v0.2)"
Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad
(2021)
Open Access
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