Seo-Won Ji

1.0k total citations · 1 hit paper
12 papers, 502 citations indexed

About

Seo-Won Ji is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, Seo-Won Ji has authored 12 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 1 paper in Control and Systems Engineering. Recurrent topics in Seo-Won Ji's work include Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (7 papers) and Image and Signal Denoising Methods (5 papers). Seo-Won Ji is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (7 papers) and Image and Signal Denoising Methods (5 papers). Seo-Won Ji collaborates with scholars based in South Korea. Seo-Won Ji's co-authors include Sung-Jea Ko, Jun-Pyo Hong, Seung‐Won Jung, Sung‐Jin Cho, Seung-Jin Baek, Yong-Goo Shin, Seung‐Wook Kim, Seungwook Kim, Jeongmin Lee and Sang‐Won Lee and has published in prestigious journals such as IEEE Access, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Seo-Won Ji

11 papers receiving 491 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.

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

2021 424 citations Sung‐Jin Cho, Seo-Won Ji et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seo-Won Ji South Korea	6	447	221	24	21	20	12	502
Praful Gupta United States	8	418 0.9×	193 0.9×	10 0.4×	19 0.9×	12 0.6×	15	469
Rufeng Chu China	4	430 1.0×	79 0.4×	15 0.6×	24 1.1×	25 1.3×	7	498
YiChang Shih United States	9	613 1.4×	137 0.6×	10 0.4×	28 1.3×	21 1.1×	13	663
Zhaorong Li China	5	499 1.1×	292 1.3×	22 0.9×	7 0.3×	30 1.5×	24	565
Wenbo Bao China	7	647 1.4×	181 0.8×	18 0.8×	19 0.9×	15 0.8×	12	699
Emil Dumić Croatia	11	307 0.7×	96 0.4×	24 1.0×	10 0.5×	9 0.5×	51	447
Hanwei Zhu China	9	455 1.0×	295 1.3×	9 0.4×	36 1.7×	19 0.9×	25	526
Ryan Overbeck United States	11	774 1.7×	83 0.4×	16 0.7×	11 0.5×	37 1.9×	22	847
Orest Kupyn Ukraine	2	606 1.4×	291 1.3×	17 0.7×	18 0.9×	17 0.8×	2	666
Tetiana Martyniuk Ukraine	2	606 1.4×	291 1.3×	17 0.7×	18 0.9×	17 0.8×	5	666

Countries citing papers authored by Seo-Won Ji

Since Specialization

Citations

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

Fields of papers citing papers by Seo-Won Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seo-Won Ji

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

12 of 12 papers shown

1.

Ji, Seo-Won, Seungwook Kim, Jun-Pyo Hong, et al.. (2022). XYDeblur: Divide and Conquer for Single Image Deblurring. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17400–17409. 29 indexed citations

2.

Cho, Sung‐Jin, Seo-Won Ji, Jun-Pyo Hong, Seung‐Won Jung, & Sung-Jea Ko. (2021). Rethinking Coarse-to-Fine Approach in Single Image Deblurring. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4621–4630. 424 indexed citations breakdown →

3.

Ji, Seo-Won, et al.. (2021). Robust Single Image Deblurring Using Gyroscope Sensor. IEEE Access. 9. 80835–80846. 5 indexed citations

4.

Ji, Seo-Won, et al.. (2021). Depth Map Super-Resolution Using Guided Deformable Convolution. IEEE Access. 9. 66626–66635. 3 indexed citations

5.

Ji, Seo-Won, et al.. (2020). Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network for Capturing Hand Articulations. IEEE Access. 8. 114010–114019. 12 indexed citations

6.

Ji, Seo-Won, et al.. (2020). Quaternary Census Transform Based on the Human Visual System for Stereo Matching. IEEE Access. 8. 116501–116514. 8 indexed citations

7.

Hong, Jun-Pyo, Sung‐Jin Cho, Jeongmin Lee, Seo-Won Ji, & Sung-Jea Ko. (2020). Single Image Deblurring Based on Auxiliary Sobel Loss Function. 1–3. 1 indexed citations

8.

Lee, Jeongmin, Seo-Won Ji, Sung‐Jin Cho, Jun-Pyo Hong, & Sung-Jea Ko. (2020). Deep Learning-Based Deblur Using Gyroscope Data. 1–4. 3 indexed citations

9.

Kim, Seungwook, et al.. (2019). Evaluating Parameterization Methods for Convolutional Neural Network (CNN)-Based Image Operators. 30. 1862–1870.

10.

Shin, Yong-Goo, et al.. (2019). Deep Fashion Recommendation System with Style Feature Decomposition. 301–305. 12 indexed citations

11.

Ji, Seo-Won, et al.. (2018). A novel method to generate a high-quality image by using a stereo camera. 35. 1–2. 1 indexed citations

12.

Ji, Seo-Won, et al.. (2016). A novel method to generate the ghost-free wide dynamic range image. 87–88. 4 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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