Sehwan Ki

742 total citations
8 papers, 154 citations indexed

About

Sehwan Ki is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Sehwan Ki has authored 8 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 1 paper in Signal Processing. Recurrent topics in Sehwan Ki's work include Image and Video Quality Assessment (5 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (5 papers). Sehwan Ki is often cited by papers focused on Image and Video Quality Assessment (5 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (5 papers). Sehwan Ki collaborates with scholars based in South Korea. Sehwan Ki's co-authors include Munchurl Kim, Soomin Seo, Hyunsuk Ko, Sung‐Ho Bae, Jae-Seok Choi, Soo Ye Kim, Hyeonjun Sim and Saehun Kim and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Sehwan Ki

8 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sehwan Ki South Korea	6	141	40	36	7	5	8	154
Hongfei Fan China	8	186 1.3×	42 1.1×	48 1.3×	3 0.4×	5 1.0×	14	199
Reinhold Huber-Mörk Austria	7	77 0.5×	22 0.6×	8 0.2×	6 0.9×	4 0.8×	23	95
Zeina Sinno United States	8	247 1.8×	63 1.6×	29 0.8×	16 2.3×	12 2.4×	15	282
Wenyan Cong China	5	216 1.5×	34 0.8×	12 0.3×	14 2.0×	4 0.8×	7	237
Seokil Hong Switzerland	2	268 1.9×	102 2.5×	14 0.4×	5 0.7×	6 1.2×	2	291
Daniel Soukup Austria	7	54 0.4×	21 0.5×	5 0.1×	7 1.0×	4 0.8×	16	78
Mohammad Akbari Canada	8	178 1.3×	11 0.3×	58 1.6×	3 0.4×	3 0.6×	19	220
Yuning Du China	5	113 0.8×	34 0.8×	5 0.1×	8 1.1×	2 0.4×	8	148
Shaofan Cai China	3	202 1.4×	31 0.8×	5 0.1×	8 1.1×		3	210
Matt Whalen United States	3	173 1.2×	18 0.5×	18 0.5×		3 0.6×	3	189

Countries citing papers authored by Sehwan Ki

Since Specialization

Citations

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

Fields of papers citing papers by Sehwan Ki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sehwan Ki

This figure shows the co-authorship network connecting the top 25 collaborators of Sehwan Ki. A scholar is included among the top collaborators of Sehwan Ki 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 Sehwan Ki. Sehwan Ki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Ki, Sehwan, et al.. (2020). Learning-Based JND-Directed HDR Video Preprocessing for Perceptually Lossless Compression With HEVC. IEEE Access. 8. 228605–228618. 8 indexed citations

2.

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

3.

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

4.

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

5.

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

6.

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

7.

Ki, Sehwan, Sung‐Ho Bae, Munchurl Kim, & Hyunsuk Ko. (2018). Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding. IEEE Transactions on Image Processing. 27(7). 3178–3193. 66 indexed citations

8.

Ki, Sehwan, Munchurl Kim, & Hyunsuk Ko. (2017). Just-noticeable-quantization-distortion based preprocessing for perceptual video coding. 1–4. 5 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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