Jun‐Ho Moon

775 citations
15 papers · 581 · 1 hit paper · h-index 10

Impact in

Papers in

Jun‐Ho Moon

14 papers receiving 539 citations

Jun‐Ho Moon's Hit Papers

Automated identification of cephalometric landmarks: Part 1—Comparisons between the latest deep-learning methods YOLOV3 and SSD 2019 · 176 citations
1760+2+4Years since publication50100150

Peers

Jun‐Ho Moon
Comparison fields: 5 of 33
  • Orthodontics 377
  • Oral Surgery 345
  • Health Informatics 24
  • Statistics, Probability and Uncertainty 15
  • Computer Vision and Pattern Recognition 27
Replace Karine Evangelista with:
Karine Evangelista Brazil
Francesco Puleio Italy
Pieter-Jan Verhelst Belgium
Yoon‐Ji Kim South Korea
Pierre Lahoud Belgium
Antonín Tichý Czechia
Gauthier Dot France
Shantanu Vyas United States
René Daher Switzerland
Camila da Silveira Massaro Brazil
Jun‐Ho Moon relative to Karine Evangelista Brazil Karine Evangelista's profile →
Citations per field
00.5×2×4×6×7.5×
Karine Evangelista · 1×
Citations per year

Countries citing papers authored by Jun‐Ho Moon

Since Specialization
Citations

This map shows the geographic impact of Jun‐Ho Moon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun‐Ho Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Ho Moon more than expected).

Fields of papers citing papers by Jun‐Ho Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Ho Moon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun‐Ho Moon. The network helps show where Jun‐Ho Moon may publish in the future.

Co-authors

The 12 scholars most cited alongside Jun‐Ho Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun‐Ho Moon Line = papers co-authored together Jun‐Ho Moon links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Automated identification of cephalometric landmarks: Part 1—Comparisons between the latest deep-learning methods YOLOV3 and SSD
Hit paper breakdown →
2019176
2 2019172
3 202177
4 202047
5 202216
6 202415
7 202314
8 202413
9 202012
10 202112
11 20249
12 20237
13 20216
14 20244
15 20121

About Jun‐Ho Moon

Jun‐Ho Moon is a scholar working on Orthodontics, Oral Surgery, Statistics, Probability and Uncertainty, Aerospace Engineering and Nuclear Energy and Engineering, having authored 15 papers that have together received 581 indexed citations. Recurring topics across this work include Orthodontics and Dentofacial Orthopedics (10 papers), Dental Radiography and Imaging (5 papers), Inertial Sensor and Navigation (1 paper), GNSS positioning and interference (1 paper) and Reliability and Agreement in Measurement (1 paper). The work is most often cited by research in Orthodontics (377 citations), Oral Surgery (345 citations), Health Informatics (24 citations), Statistics, Probability and Uncertainty (15 citations) and Computer Vision and Pattern Recognition (27 citations). Jun‐Ho Moon has collaborated with scholars based in South Korea, United States and Saudi Arabia. Frequent co-authors include Shin‐Jae Lee, Richard E. Donatelli, Jihoon Park, Girish Srinivasan, Mingyu Kim, Han‐Suk Kim, Ji Ae Park, Byoung‐Moo Seo, J.Y. Kim and Heeyeon Suh. Their work appears in journals such as The Angle Orthodontist, Journal of Oral and Maxillofacial Surgery, Orthodontics and Craniofacial Research, Seminars in Orthodontics and The Journal of Korea Robotics Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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