Junghoon Seo

665 citations
8 papers · 126 · 1 hit paper · h-index 6

Impact in

Papers in

Junghoon Seo

7 papers receiving 121 citations

Junghoon Seo's Hit Papers

A Billion-scale Foundation Model for Remote Sensing Images 2024 · 50 citations
500+1Years since publication1020304050

Peers

Junghoon Seo
Comparison fields: 5 of 39
  • Media Technology 54
  • Computer Vision and Pattern Recognition 59
  • Geography, Planning and Development 10
  • Artificial Intelligence 33
  • Environmental Engineering 12
Replace Todd M. Bacastow with:
Todd M. Bacastow United States
Mang Tik Chiu Jamaica
Oscar Mañas Canada
Nayu Liu China
Lianlei Shan China
Mahrukh Khan Pakistan
Adam Van Etten United States
Nanqing Liu China
Guangliang Cheng United Kingdom
Junghoon Seo relative to Todd M. Bacastow United States Todd M. Bacastow's profile →
Citations per field
00.5×1.5×
Todd M. Bacastow · 1×
Citations per year

Countries citing papers authored by Junghoon Seo

Since Specialization
Citations

This map shows the geographic impact of Junghoon Seo'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 Junghoon Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junghoon Seo more than expected).

Fields of papers citing papers by Junghoon Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junghoon Seo. 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 Junghoon Seo. The network helps show where Junghoon Seo may publish in the future.

Co-authors

The 10 scholars most cited alongside Junghoon Seo, 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 Junghoon Seo Line = papers co-authored together Junghoon Seo links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
A Billion-scale Foundation Model for Remote Sensing Images
Hit paper breakdown →
202450
2 201828
3 202122
4 201710
5 20229
6 20215
7 20252
8 20250

About Junghoon Seo

Junghoon Seo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing and Media Technology, having authored 8 papers that have together received 126 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Urban Heat Island Mitigation (1 paper), Anomaly Detection Techniques and Applications (1 paper), Remote-Sensing Image Classification (1 paper), Neural Networks and Applications (1 paper), Image and Signal Denoising Methods (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Media Technology (54 citations), Computer Vision and Pattern Recognition (59 citations), Geography, Planning and Development (10 citations), Artificial Intelligence (33 citations) and Environmental Engineering (12 citations). Junghoon Seo has collaborated with scholars based in South Korea and United States. Frequent co-authors include Taekyung Lee, Taegyun Jeon, Jamyoung Koo, Kin‐Choong Yow, Jinwoo Kim, Seunghyoung Ryu, Hogeon Seo, Yonggyun Yu, Hakjin Lee and Byung Ho Choi. Their work appears in journals such as IEEE Access, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Journal of Advances in Information Technology.

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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