Hanseok Ko

4.1k citations

305 papers · 2.6k · h-index 24

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing

Papers in

Computer Vision and Pattern Recognition 143
- Video Surveillance and Tracking Methods 34
- Advanced Vision and Imaging 31
- Advanced Image Processing Techniques 26
- Image and Signal Denoising Methods 23
Artificial Intelligence 117
- Speech Recognition and Synthesis 52

Co-authors: David K. Han (90 shared papers)Bonhwa Ku (56 shared papers)Murray H. Loew (4 shared papers)Min Jae Kim (1 shared paper)Yifan Jiang (9 shared papers)Han Chen (4 shared papers)Gwantae Kim (17 shared papers)Wooil Kim (13 shared papers)
Journals: IEEE Geoscience and Remote Sensing Letters (13 papers)IEEE Access (8 papers)Electronics Letters (8 papers)IEEE Signal Processing Letters (8 papers)IEEE Transactions on Consumer Electronics (7 papers)
Partner nations: South Korea United States Japan

In The Last Decade

Hanseok Ko

269 papers receiving 2.5k citations

Peers

Replace Yuexian Zou with:

Yuexian Zou China

Matthew D. Zeiler United States

Ossama Abdel‐Hamid Canada

Stefano Tubaro Italy

Eric Tzeng United States

Hanqi Zhuang United States

Barret Zoph United States

Hugo Touvron France

Yadong Mu China

Hanseok Ko relative to Yuexian Zou China Yuexian Zou's profile →

Citations per field

00.5×2×3×4.3×

Yuexian Zou · 1×

×0.8 1k/2k

CVPR

×0.6 585/977

SP

×4.3 476/110

MT

×2.4 160/66

HI

×0.5 736/1k

AI

Citations per year

'16

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Countries citing papers authored by Hanseok Ko

Since Specialization

Citations

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

Fields of papers citing papers by Hanseok Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hanseok Ko, 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 Hanseok Ko Line = papers co-authored together Hanseok Ko links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 305 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Joint patch clustering-based dictionary learning for multimodal image fusion Information Fusion ·Min Jae Kim, David K. Han, Hanseok Ko	2015	165
2	COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network IEEE Journal of Biomedical and Health Informatics ·Yifan Jiang, Han Chen, Murray H. Loew, Hanseok Ko	2020	118
3	CaraNet: context axial reverse attention network for segmentation of small medical objects Ange Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew	2022	93
4	TrSeg: Transformer for semantic segmentation Pattern Recognition Letters ·Youngsaeng Jin, David K. Han, Hanseok Ko	2021	67
5	Fusion of Heterogeneous Adversarial Networks for Single Image Dehazing IEEE Transactions on Image Processing ·Jaihyun Park, David K. Han, Hanseok Ko	2020	67
6	Single image dehazing with image entropy and information fidelity Dubok Park, Hyungjo Park, David K. Han, Hanseok Ko	2014	63
7	Multimodal Emotion Recognition Fusion Analysis Adapting BERT With Heterogeneous Feature Unification IEEE Access ·Sanghyun Lee, David K. Han, Hanseok Ko	2021	52
8	Performance comparison of target localization for active sonar systems IEEE Transactions on Aerospace and Electronic Systems ·Suhwan Kim, Bonhwa Ku, Wooyoung Hong, Hanseok Ko	2008	49
9	Video-Based Dynamic Stagger Measurement of Railway Overhead Power Lines Using Rotation-Invariant Feature Matching IEEE Transactions on Intelligent Transportation Systems ·Chul Jin Cho, Hanseok Ko	2014	45
10	Unsupervised Real-World Super Resolution with Cycle Generative Adversarial Network and Domain Discriminator Gwantae Kim, Jaihyun Park, Kanghyu Lee, Junyeop Lee, Jeongki Min, Bokyeung Lee, David K. Han, Hanseok Ko	2020	42
11	Deep Neural Network based learning and transferring mid-level audio features for acoustic scene classification Seongkyu Mun, Suwon Shon, Wooil Kim, David K. Han, Hanseok Ko	2017	42
12	A novel approach for denoising and enhancement of extremely low-light video IEEE Transactions on Consumer Electronics ·Minjae Kim, Dubok Park, David K. Han, Hanseok Ko	2015	34
13	Gesture recognition using depth-based hand tracking for contactless controller application Cheoljong Yang, Yujeong Jang, Jounghoon Beh, David K. Han, Hanseok Ko	2012	34
14	Compact HF Surface Wave Radar Data Generating Simulator for Ship Detection and Tracking IEEE Geoscience and Remote Sensing Letters ·Sangwook Park, Chul Jin Cho, Bonhwa Ku, Sang‐Ho Lee, Hanseok Ko	2017	34
15	Continuous hand gesture recognition based on trajectory shape information Pattern Recognition Letters ·Cheoljong Yang, David K. Han, Hanseok Ko	2017	34
16	License Plate Detection Using Local Structure Patterns Younghyun Lee, Taeyup Song, Bonhwa Ku, Seoungseon Jeon, David K. Han, Hanseok Ko	2010	29
17	Single image haze removal with WLS-based edge-preserving smoothing filter Dubok Park, David K. Han, Hanseok Ko	2013	28
18	Attention-Based Convolutional Neural Network for Earthquake Event Classification IEEE Geoscience and Remote Sensing Letters ·Bonhwa Ku, Gwantae Kim, Jae-Kwang Ahn, Jimin Lee, Hanseok Ko	2020	28
19	Side-Scan Sonar Image Synthesis Based on Generative Adversarial Network for Images in Multiple Frequencies IEEE Geoscience and Remote Sensing Letters ·Yifan Jiang, Bonhwa Ku, Wan‐Jin Kim, Hanseok Ko	2020	27
20	Hidden Markov Model on a unit hypersphere space for gesture trajectory recognition Pattern Recognition Letters ·Jounghoon Beh, David K. Han, Ramani Durasiwami, Hanseok Ko	2013	27

About Hanseok Ko

Hanseok Ko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mechanics and Media Technology, having authored 305 papers that have together received 2.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (94 papers), Music and Audio Processing (64 papers), Speech Recognition and Synthesis (52 papers), Video Surveillance and Tracking Methods (34 papers), Advanced Vision and Imaging (31 papers), Advanced Image Processing Techniques (26 papers), Advanced Adaptive Filtering Techniques (26 papers) and Image and Signal Denoising Methods (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Signal Processing (585 citations), Media Technology (476 citations), Human-Computer Interaction (160 citations) and Artificial Intelligence (736 citations). Hanseok Ko has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include David K. Han, Bonhwa Ku, Murray H. Loew, Min Jae Kim, Yifan Jiang, Han Chen, Gwantae Kim, Wooil Kim, Sangwook Park and Shuyue Guan. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Access, Electronics Letters, IEEE Signal Processing Letters and IEEE Transactions on Consumer Electronics.

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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