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Alvaro Fuentes

ResearcherPublications, citations & collaboration network

Alvaro Fuentes is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 74 works, 3,216 citations, an h-index of 17 and an i10-index of 26.

74
Works
3,216
Citations
17
h-index
26
i10-index

How has Alvaro Fuentes's publication output changed over time?

ScholarIQpublication output · 2017–2023

Output grew200% over the shown period — from 1 works in 2017 to 3 in 2023.

1
1
2
2
1
1
3
2017201820192020202120222023

What are the most-cited papers on Alvaro Fuentes?

ScholarIQmost cited works
A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
Alvaro Fuentes, Sook Yoon, Sang Ryong Kim, Dong Jun Park
Sensors. 20171,549 CitationsOPEN ACCESS
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Mingle Xu, Sook Yoon, Alvaro Fuentes, Dong Sun Park
S414566. 2023602 CitationsOPEN ACCESS
High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank
Alvaro Fuentes, Sook Yoon, Jae-Su Lee, Dong Sun Park
Frontiers in Plant Science. 2018186 CitationsOPEN ACCESS
Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information
Alvaro Fuentes, Sook Yoon, Jongbin Park, Dong Sun Park
Computers and Electronics in Agriculture. 2020144 Citations
Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition
Mingle Xu, Sook Yoon, Alvaro Fuentes, Jucheng Yang, Dong Sun Park
Frontiers in Plant Science. 202261 CitationsOPEN ACCESS

Related on ScholarIQ

Jeonbuk National University
Institution
A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
Paper
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Paper
High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank
Paper
Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information
Paper
Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition
Paper
470M+ articles · free account