Soomin Seo

735 total citations
8 papers, 138 citations indexed

About

Soomin Seo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Infectious Diseases. According to data from OpenAlex, Soomin Seo has authored 8 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 0 papers in Infectious Diseases. Recurrent topics in Soomin Seo's work include Advanced Image Fusion Techniques (7 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (4 papers). Soomin Seo is often cited by papers focused on Advanced Image Fusion Techniques (7 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (4 papers). Soomin Seo collaborates with scholars based in South Korea. Soomin Seo's co-authors include Munchurl Kim, Sehwan Ki, Jae-Seok Choi, Doochun Seo, Jaeheon Jeong, Soo Ye Kim, Hyeonjun Sim and Saehun Kim and has published in prestigious journals such as IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology and arXiv (Cornell University).

In The Last Decade

Soomin Seo

8 papers receiving 129 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soomin Seo South Korea	5	111	88	9	6	4	8	138
Haoming Cai United States	3	149 1.3×	91 1.0×	8 0.9×	5 0.8×		7	164
Kuk-Jin Yoon South Korea	8	224 2.0×	58 0.7×	8 0.9×	11 1.8×	3 0.8×	13	248
Naishan Zheng China	9	179 1.6×	130 1.5×	16 1.8×	7 1.2×	3 0.8×	18	226
Yingqi Liu China	4	129 1.2×	89 1.0×	7 0.8×	5 0.8×		7	148
Manoj Sharma India	8	127 1.1×	98 1.1×	7 0.8×	15 2.5×	6 1.5×	16	161
Yudong Wang China	4	276 2.5×	96 1.1×	8 0.9×	5 0.8×	4 1.0×	5	304
Olivier Losson France	7	123 1.1×	91 1.0×	25 2.8×	7 1.2×	5 1.3×	15	173
Sriharsha Koundinya India	4	39 0.4×	42 0.5×	8 0.9×	2 0.3×	6 1.5×	6	78
Jinglei Shi China	7	201 1.8×	60 0.7×	14 1.6×	4 0.7×	2 0.5×	15	235

Countries citing papers authored by Soomin Seo

Since Specialization

Citations

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

Fields of papers citing papers by Soomin Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soomin Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Soomin Seo. A scholar is included among the top collaborators of Soomin 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 Soomin Seo. Soomin 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.

Seo, Soomin, et al.. (2021). SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery. 10161–10169. 30 indexed citations

2.

Seo, Soomin, et al.. (2020). UPSNet: Unsupervised Pan-Sharpening Network With Registration Learning Between Panchromatic and Multi-Spectral Images. IEEE Access. 8. 201199–201217. 32 indexed citations

3.

Seo, Soomin, et al.. (2020). Pan-Sharpening With Color-Aware Perceptual Loss And Guided Re-Colorization. 1 indexed citations

4.

Seo, Soomin, Sehwan Ki, & Munchurl Kim. (2020). A Novel Just-Noticeable-Difference-Based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions. IEEE Transactions on Circuits and Systems for Video Technology. 31(7). 2602–2616. 41 indexed citations

5.

Seo, Soomin, Sehwan Ki, & Munchurl Kim. (2019). JND-SalCAR: A Novel JND-based Saliency-Channel Attention Residual Network for Image Quality Prediction. arXiv (Cornell University). 2 indexed citations

6.

Seo, Soomin, Sehwan Ki, & Munchurl Kim. (2019). Deep HVS-IQA Net: Human Visual System Inspired Deep Image Quality Assessment Networks.. arXiv (Cornell University). 2 indexed citations

7.

Sim, Hyeonjun, Sehwan Ki, Jae-Seok Choi, et al.. (2018). High-Resolution Image Dehazing with Respect to Training Losses and Receptive Field Sizes. 1025–10257. 16 indexed citations

8.

Ki, Sehwan, Hyeonjun Sim, Jae-Seok Choi, et al.. (2018). Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN with Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing. 930–9307. 14 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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