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Urbano B. Patayon

ResearcherPublications, citations & collaboration network

Urbano B. Patayon is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 16 works, 76 citations, an h-index of 4 and an i10-index of 3.

16
Works
76
Citations
4
h-index
3
i10-index

How has Urbano B. Patayon's publication output changed over time?

ScholarIQpublication output · 2017–2024

Output grew100% over the shown period — from 1 works in 2017 to 2 in 2024.

1
1
3
2
1
2
201720192021202220232024

What are the most-cited papers on Urbano B. Patayon?

ScholarIQmost cited works
Peanut leaf spot disease identification using pre-trained deep convolutional neural network
Urbano B. Patayon, Renato V. Crisostomo
S4210235676. 202230 CitationsOPEN ACCESS
Automatic Identification of Abaca Bunchy Top Disease using Deep Learning Models
Urbano B. Patayon, Renato V. Crisostomo
Procedia Computer Science. 202124 CitationsOPEN ACCESS
A Density Functional Theory Study on the Interaction of Cellulose Biopolymer and Atomic Arsenic
Art Anthony Z. Munio, Alfredo Liboon, Yhebron J. Lagud, Urbano B. Patayon, Alvanh Alem G. Pido, Mohamed Karouchi, L. C. C. Ambolode
S187696258. 202310 CitationsOPEN ACCESS
Signaling and Pacing: A Comparative Study on Evidence Based Stimuli using an Eye Tracking Device
Urbano B. Patayon, John Mark Gallegos, Patrick Mack, Regien Bacabis, Celesamae T. Vicente
Procedia Computer Science. 20214 CitationsOPEN ACCESS
Time Series Analysis of Infected COVID-19 Cases in the Zamboanga Peninsula, Philippines using Long Short-Term Memory Neural Networks
Urbano B. Patayon
2021 4th International Conference of Computer and Informatics Engineering (IC2IE). 20213 Citations

Related on ScholarIQ

Jose Rizal Memorial State University
Institution
Peanut leaf spot disease identification using pre-trained deep convolutional neural network
Paper
Automatic Identification of Abaca Bunchy Top Disease using Deep Learning Models
Paper
A Density Functional Theory Study on the Interaction of Cellulose Biopolymer and Atomic Arsenic
Paper
Signaling and Pacing: A Comparative Study on Evidence Based Stimuli using an Eye Tracking Device
Paper
Time Series Analysis of Infected COVID-19 Cases in the Zamboanga Peninsula, Philippines using Long Short-Term Memory Neural Networks
Paper
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