Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex & ORCID
Masoud Rezaei
ResearcherPublications, citations & collaboration network
Masoud Rezaei is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 7 works, 198 citations, an h-index of 5 and an i10-index of 4.
7
Works
198
Citations
5
h-index
4
i10-index
IDs:OpenAlex
How has Masoud Rezaei's publication output changed over time?
ScholarIQpublication output · 2016–2025
Output grew0% over the shown period — from 1 works in 2016 to 1 in 2025.
1
1
4
1
2016201720242025
What are the most-cited papers on Masoud Rezaei?
ScholarIQmost cited works
Plant disease recognition in a low data scenario using few-shot learning
Masoud Rezaei, Dean Diepeveen, Hamid Laga, Michael G.K. Jones, Ferdous Sohel
Computers and Electronics in Agriculture. 2024103 CitationsOPEN ACCESS
Predicting the Earthquake Magnitude Using the Multilayer Perceptron Neural Network with Two Hidden Layers
Jamal Mahmoudi, Mohammad Ali Arjomand, Masoud Rezaei, Mohammad Hossein Mohammadi
S3021962178. 201645 CitationsOPEN ACCESS
A transformer-based few-shot learning pipeline for barley disease detection from field-collected imagery
Masoud Rezaei, Dean Diepeveen, Hamid Laga, Sanjiv Gupta, Michael G.K. Jones, Ferdous Sohel
Computers and Electronics in Agriculture. 202424 CitationsOPEN ACCESS
Barley disease recognition using deep neural networks
Masoud Rezaei, Sanjiv Gupta, Dean Diepeveen, Hamid Laga, Michael G.K. Jones, Ferdous Sohel
S129843401. 202418 CitationsOPEN ACCESS
Machine Learning Approaches to Identify Affected Brain Regions in Movement Disorders Using <scp>MRI</scp> Data: A Systematic Review and Diagnostic Meta‐analysis
Sadegh Ghaderi, Mahdi Mohammadi, Fatemeh Sayehmiri, Sana Mohammadi, Arian Tavasol, Masoud Rezaei, Azadeh Ghalyanchi‐Langeroudi
S132538424. 20246 Citations
Related on ScholarIQ
Plant disease recognition in a low data scenario using few-shot learning
Paper
Predicting the Earthquake Magnitude Using the Multilayer Perceptron Neural Network with Two Hidden Layers
Paper
A transformer-based few-shot learning pipeline for barley disease detection from field-collected imagery
Paper
Barley disease recognition using deep neural networks
Paper
Machine Learning Approaches to Identify Affected Brain Regions in Movement Disorders Using <scp>MRI</scp> Data: A Systematic Review and Diagnostic Meta‐analysis
Paper
Integration of human information processing model and SHERPA technique in the analysis of human errors: A Case Study in the control room for the petrochemical industry
Paper