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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:

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 1-25 of 64 citing articles:

Towards edge computing in intelligent manufacturing: Past, present and future
Garima Nain, K. K. Pattanaik, G.K. Sharma
Journal of Manufacturing Systems (2022) Vol. 62, pp. 588-611
Closed Access | Times Cited: 132
Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review
Md Maruf Hossain Shuvo, Syed K. Islam, Jianlin Cheng, et al.
Proceedings of the IEEE (2022) Vol. 111, Iss. 1, pp. 42-91
Open Access | Times Cited: 102
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
Daniel Rosendo, Alexandru Costan, Patrick Valduriez, et al.
Journal of Parallel and Distributed Computing (2022) Vol. 166, pp. 71-94
Open Access | Times Cited: 78
Knowledge distillation in deep learning and its applications
Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad
PeerJ Computer Science (2021) Vol. 7, pp. e474-e474
Open Access | Times Cited: 64
A comprehensive survey of deep learning-based lightweight object detection models for edge devices
Payal Mittal
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 10
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: 35
Design possibilities and challenges of DNN models: a review on the perspective of end devices
Hanan Hussain, P. S. Tamizharasan, C. S. Rahul
Artificial Intelligence Review (2022) Vol. 55, Iss. 7, pp. 5109-5167
Closed Access | Times Cited: 34
METER: A Mobile Vision Transformer Architecture for Monocular Depth Estimation
Lorenzo Papa, Paolo Russo, Irene Amerini
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 10, pp. 5882-5893
Open Access | Times Cited: 18
Energy Usage Forecasting Model Based on Long Short-Term Memory (LSTM) and eXplainable Artificial Intelligence (XAI)
Muhammad Rifqi Maarif, Arif Rahman Saleh, Muhammad Habibi, et al.
Information (2023) Vol. 14, Iss. 5, pp. 265-265
Open Access | Times Cited: 17
A Survey on Deep Learning Based Forest Environment Sound Classification at the Edge
Dulani Meedeniya, Isuru Ariyarathne, Meelan Bandara, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 3, pp. 1-36
Closed Access | Times Cited: 12
The Evolution and Development of Artificial Intelligence Interpretation Technology in the Era of Large-Scale Language Models
Gurwinder Kaur Dua
Advances in computational intelligence and robotics book series (2025), pp. 33-62
Closed Access
Benchmarking Object Detection Deep Learning Models in Embedded Devices
David Cantero, Iker Esnaola-Gonzalez, José Miguel-Alonso, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4205-4205
Open Access | Times Cited: 16
Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective
Ying Yang, Jinruo Qin, Jing Lei, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9335-9335
Open Access | Times Cited: 9
A Classification of the Enabling Techniques for Low Latency and Reliable Communications in 5G and Beyond: AI-Enabled Edge Caching
Lilian C. Mutalemwa, Seokjoo Shin
IEEE Access (2020) Vol. 8, pp. 205502-205533
Open Access | Times Cited: 25
Partial Discharge Detection by Edge Computing
Lukáš Klein, Petr Žmij, Pavel Krömer
IEEE Access (2023) Vol. 11, pp. 44192-44204
Open Access | Times Cited: 9
Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization
Muhammad Hafizul Hazmi Wahab, Nor Asilah Wati Abdul Hamid, Shamala Subramaniam, et al.
Applied Soft Computing (2023) Vol. 151, pp. 110994-110994
Closed Access | Times Cited: 7
Design and Evaluation of a New Machine Learning Framework for IoT and Embedded Devices
Gianluca Cornetta, Abdellah Touhafi
Electronics (2021) Vol. 10, Iss. 5, pp. 600-600
Open Access | Times Cited: 16
Deep Learning-Based Image Regression for Short-Term Solar Irradiance Forecasting on the Edge
Elissaios Alexios Papatheofanous, Vasileios Kalekis, Georgios Venitourakis, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3794-3794
Open Access | Times Cited: 11
Survey of Deep Learning Accelerators for Edge and Emerging Computing
Md. Shahanur Alam, Chris Yakopcic, Qing Wu, et al.
(2024)
Open Access | Times Cited: 2
Survey of Deep Learning Accelerators for Edge and Emerging Computing
Md. Shahanur Alam, Chris Yakopcic, Qing Wu, et al.
(2024)
Open Access | Times Cited: 2
Survey of Deep Learning Accelerators for Edge and Emerging Computing
Shahanur Alam, Chris Yakopcic, Qing Wu, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 2988-2988
Open Access | Times Cited: 2
Probabilistic Predictions with Federated Learning
Adam Thor Thorgeirsson, Frank Gauterin
Entropy (2020) Vol. 23, Iss. 1, pp. 41-41
Open Access | Times Cited: 16
Edge AI: Leveraging the Full Potential of Deep Learning
Md Maruf Hossain Shuvo
Studies in computational intelligence (2022), pp. 27-46
Closed Access | Times Cited: 10
Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller
Marek Żyliński, Amir Nassibi, Danilo P. Mandic
Sensors (2023) Vol. 23, Iss. 17, pp. 7521-7521
Open Access | Times Cited: 6
Performance Evaluation of Artificial Neural Networks (ANN) Predicting Heat Transfer through Masonry Walls Exposed to Fire
Iasonas Bakas, Karolos J. Kontoleon
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11435-11435
Open Access | Times Cited: 14
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