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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:

Wearable Edge AI Applications for Ecological Environments
Mateus Silva, Jonathan C. F. da Silva, Saul Delabrida, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5082-5082
Open Access | Times Cited: 14

Showing 14 citing articles:

Combining Machine Learning and Edge Computing: Opportunities, Challenges, Platforms, Frameworks, and Use Cases
Piotr Grzesik, Dariusz Mrozek
Electronics (2024) Vol. 13, Iss. 3, pp. 640-640
Open Access | Times Cited: 14
IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities
Elisha Elikem Kofi Senoo, Lia Anggraini, Jacqueline Asor Kumi, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1894-1894
Open Access | Times Cited: 7
Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards
Jonathan C. F. da Silva, Mateus Silva, Eduardo Luz, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2165-2165
Open Access | Times Cited: 13
Wearable Technology for Smart Manufacturing in Industry 5.0
Tho Nguyen, Kim Duc Tran, Ali Raza, et al.
Springer series in reliability engineering (2023), pp. 225-254
Closed Access | Times Cited: 7
Modeling an Edge Computing Arithmetic Framework for IoT Environments
Pedro Juan Roig, Salvador Alcaraz, Katja Gilly, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1084-1084
Open Access | Times Cited: 5
Bringing Deep Learning to the Fields and Forests: Leaf Reconstruction and Shape Estimation
Mateus Silva, Andrea G. C. Bianchi, Sérvio Pontes Ribeiro, et al.
SN Computer Science (2022) Vol. 3, Iss. 3
Closed Access | Times Cited: 3
Modeling of a Generic Edge Computing Application Design
Pedro Juan Roig, Salvador Alcaraz, Katja Gilly, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7276-7276
Open Access | Times Cited: 4
Designing RISC-V Instruction Set Extensions for Artificial Neural Networks: An LLVM Compiler-Driven Perspective
Karthikeyan Kalyanasundaram Balasubramanian, Mirco Di Salvo, Walter Rocchia, et al.
IEEE Access (2024) Vol. 12, pp. 55925-55944
Open Access
Recent Research and Packaging Application of Through Glass Via Technology for Artificial Intelligence Semiconductor
C. H. Jung, Ji Won Park, Sung Jin Kim, et al.
Korean Journal of Materials Research (2024) Vol. 34, Iss. 11, pp. 529-536
Closed Access
Nanoscale Computing at the Edge: AI Devices and Applications

(2024), pp. 239-272
Closed Access
Application of active acoustic transducers in monitoring and assessment of terrestrial ecosystem health—A review
Bita Rostami, Christian Nansen
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 12, pp. 2682-2691
Open Access | Times Cited: 2
A Systematic Literature Review on the Adoption of Edge Computing for Sustainable Development
May Myat Thwe, Kyung Ryul Park
Lecture notes in computer science (2023), pp. 329-344
Closed Access
Environmental Sensors
G. R. Sinha
Elsevier eBooks (2022), pp. 332-344
Closed Access
Designing a Multiple-User Wearable Edge AI system towards Human Activity Recognition
Mateus Silva, Andrea G. C. Bianchi, Ricardo Oliveira, et al.
(2022), pp. 1-8
Closed Access
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