Junghoon Seo

665 total citations · 1 hit paper
8 papers, 126 citations indexed

About

Junghoon Seo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Junghoon Seo has authored 8 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Junghoon Seo's work include Advanced Image and Video Retrieval Techniques (2 papers), Fault Detection and Control Systems (2 papers) and Infrared Target Detection Methodologies (1 paper). Junghoon Seo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Fault Detection and Control Systems (2 papers) and Infrared Target Detection Methodologies (1 paper). Junghoon Seo collaborates with scholars based in South Korea and United States. Junghoon Seo's co-authors include Taekyung Lee, Jamyoung Koo, Taegyun Jeon, Kin‐Choong Yow, Jinwoo Kim, Seunghyoung Ryu, Hogeon Seo, Yonggyun Yu, Hakjin Lee and Byung Ho Choi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Junghoon Seo

7 papers receiving 121 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Billion-scale Foundation Model for Remote Sensing Images

2024 50 citations Junghoon Seo, Taekyung Lee et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Junghoon Seo South Korea	6	59	54	33	20	12	8	126
Todd M. Bacastow United States	4	57 1.0×	67 1.2×	25 0.8×	38 1.9×	19 1.6×	8	146
Lianlei Shan China	9	69 1.2×	62 1.1×	40 1.2×	11 0.6×	11 0.9×	17	137
Mang Tik Chiu United States	3	120 2.0×	40 0.7×	25 0.8×	18 0.9×	12 1.0×	5	209
Mahrukh Khan Pakistan	5	119 2.0×	81 1.5×	47 1.4×	29 1.4×	4 0.3×	8	207
Nayu Liu China	8	130 2.2×	42 0.8×	107 3.2×	9 0.5×	6 0.5×	21	236
Adam Van Etten United States	4	99 1.7×	78 1.4×	36 1.1×	63 3.1×	17 1.4×	4	189
Nanqing Liu China	10	119 2.0×	122 2.3×	35 1.1×	65 3.3×	21 1.8×	26	252
Oscar Mañas Canada	3	93 1.6×	132 2.4×	81 2.5×	11 0.6×	33 2.8×	3	219
Chaotao Ding China	5	105 1.8×	21 0.4×	26 0.8×	16 0.8×	10 0.8×	8	174
Yutao Hu China	8	109 1.8×	43 0.8×	63 1.9×	18 0.9×	15 1.3×	15	173

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-authorship network of co-authors of Junghoon Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Junghoon Seo. A scholar is included among the top collaborators of Junghoon Seo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junghoon Seo. Junghoon Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Choi, Byung Ho, et al.. (2025). Guided Super Resolution of Land Surface Temperature Using Multisatellite Imageries. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.

2.

Lee, Hakjin, et al.. (2025). Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer. 1872–1882. 2 indexed citations

3.

Seo, Junghoon, et al.. (2024). A Billion-scale Foundation Model for Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 1–17. 50 indexed citations breakdown →

4.

Ryu, Seunghyoung, et al.. (2022). Quantile Autoencoder With Abnormality Accumulation for Anomaly Detection of Multivariate Sensor Data. IEEE Access. 10. 70428–70439. 9 indexed citations

5.

Seo, Junghoon, et al.. (2021). Contrastive Multiview Coding With Electro-Optics for SAR Semantic Segmentation. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 22 indexed citations

6.

Seo, Junghoon, et al.. (2021). On The Power of Deep But Naive Partial Label Learning. 3820–3824. 5 indexed citations

7.

Koo, Jamyoung, et al.. (2018). RBox-CNN. 420–423. 28 indexed citations

8.

Seo, Junghoon, et al.. (2017). One-to-one Example-based Automatic Image Coloring Using Deep Convolutional Generative Adversarial Network. Journal of Advances in Information Technology. 80–85. 10 indexed citations

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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