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Hyeonjoon Moon

ResearcherPublications, citations & collaboration network

Hyeonjoon Moon is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 131 works, 4,865 citations, an h-index of 34 and an i10-index of 62.

131
Works
4,865
Citations
34
h-index
62
i10-index

How has Hyeonjoon Moon's publication output changed over time?

ScholarIQpublication output · 1998–2021

Output declined50% over the shown period — from 2 works in 1998 to 1 in 2021.

2
1
1
1
2
2
1
1998200220162017201920202021

What are the most-cited papers on Hyeonjoon Moon?

ScholarIQmost cited works
A Survey on Internet of Things and Cloud Computing for Healthcare
L. Minh Dang, Md. Jalil Piran, Dongil Han, Kyungbok Min, Hyeonjoon Moon
Electronics. 2019637 CitationsOPEN ACCESS
The FERET evaluation methodology for face-recognition algorithms
P. Jonathon Phillips, Hyeonjoon Moon, Patrick J. Rauss, Syed A. Rizvi
2002590 Citations
The FERET evaluation methodology for face-recognition algorithms
P. Jonathon Phillips, Hyeonjoon Moon, Syed A. Rizvi, Patrick J. Rauss
1998278 CitationsOPEN ACCESS
Crop pest recognition in natural scenes using convolutional neural networks
Yanfen Li, Hanxiang Wang, L. Minh Dang, Abolghasem Sadeghi‐Niaraki, Hyeonjoon Moon
Computers and Electronics in Agriculture. 2020242 Citations
Underground sewer pipe condition assessment based on convolutional neural networks
Syed Ibrahim Hassan, L. Minh Dang, Irfan Mehmood, Suhyeon Im, Chang-Ho Choi, Jae‐Mo Kang, Young-Soo Park, Hyeonjoon Moon
S172073041. 2019210 Citations

Related on ScholarIQ

Sejong University
Institution
A Survey on Internet of Things and Cloud Computing for Healthcare
Paper
The FERET evaluation methodology for face-recognition algorithms
Paper
The FERET evaluation methodology for face-recognition algorithms
Paper
Crop pest recognition in natural scenes using convolutional neural networks
Paper
Underground sewer pipe condition assessment based on convolutional neural networks
Paper
470M+ articles · free account