Younggun Cho

1.4k total citations
38 papers, 955 citations indexed

About

Younggun Cho is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Younggun Cho has authored 38 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 23 papers in Aerospace Engineering and 7 papers in Environmental Engineering. Recurrent topics in Younggun Cho's work include Robotics and Sensor-Based Localization (21 papers), Advanced Vision and Imaging (13 papers) and Image Enhancement Techniques (12 papers). Younggun Cho is often cited by papers focused on Robotics and Sensor-Based Localization (21 papers), Advanced Vision and Imaging (13 papers) and Image Enhancement Techniques (12 papers). Younggun Cho collaborates with scholars based in South Korea, United States and India. Younggun Cho's co-authors include Ayoung Kim, Jin‐Yong Jeong, Young-Sik Shin, Yong–San Yoon, Giseop Kim, Gaurav Pandey, Joo-Wan Kim, Hyun Myung, Jihong Park and Hee‐Won Jung and has published in prestigious journals such as Journal of the American Geriatrics Society, Sensors and The International Journal of Robotics Research.

In The Last Decade

Younggun Cho

34 papers receiving 908 citations

Peers

Younggun Cho
Pierre Payeur Canada
Xavier Savatier France
Rémi Boutteau France
Cihan Topal Türkiye
Cüneyt Akınlar Türkiye
Hongwei Yi China
Domenico G. Sorrenti Italy
Ivan Dryanovski United States
Jin Fang China
Xiaoli Meng China
Pierre Payeur Canada
Younggun Cho
Citations per year, relative to Younggun Cho Younggun Cho (= 1×) peers Pierre Payeur

Countries citing papers authored by Younggun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Younggun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Younggun Cho

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

All Works

20 of 20 papers shown
1.
Kim, Ju‐Won, et al.. (2025). DiTer++: Diverse Terrain and Multi-Modal Dataset for Multi-Robot SLAM in Multi-Session Environments. 12187–12193. 1 indexed citations
2.
Shin, Young-Sik, et al.. (2025). Uni-Mapper: Unified Mapping Framework for Multi-Modal LiDARs in Complex and Dynamic Environments. IEEE Transactions on Intelligent Vehicles. 11(1). 104–121.
3.
Kim, Giseop, et al.. (2024). Narrowing Your FOV With SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV-Constrained LiDAR Place Recognition. IEEE Robotics and Automation Letters. 9(11). 9645–9652. 10 indexed citations
4.
Cho, Younggun, et al.. (2024). Thermal Chameleon: Task-Adaptive Tone-Mapping for Radiometric Thermal-Infrared Images. IEEE Robotics and Automation Letters. 9(12). 10827–10834. 1 indexed citations
5.
6.
Cho, Younggun, et al.. (2024). DiTer: Diverse Terrain and Multimodal Dataset for Field Robot Navigation in Outdoor Environments. IEEE Sensors Letters. 8(3). 1–4. 7 indexed citations
7.
Cho, Younggun, et al.. (2023). Robust Imaging Sonar-based Place Recognition and Localization in Underwater Environments. 1083–1089. 5 indexed citations
8.
Kim, Ayoung, et al.. (2023). Sparse Depth-Guided Image Enhancement Using Incremental GP with Informative Point Selection. Sensors. 23(3). 1212–1212. 2 indexed citations
9.
Cho, Younggun, et al.. (2023). Joint-ID: Transformer-Based Joint Image Enhancement and Depth Estimation for Underwater Environments. IEEE Sensors Journal. 24(3). 3113–3122. 10 indexed citations
10.
11.
Kim, Ayoung, et al.. (2021). Automatic wall slant angle map generation using 3D point clouds. ETRI Journal. 43(4). 594–602. 3 indexed citations
12.
Kim, Joo-Wan, Younggun Cho, & Ayoung Kim. (2020). Proactive Camera Attribute Control Using Bayesian Optimization for Illumination-Resilient Visual Navigation. IEEE Transactions on Robotics. 36(4). 1256–1271. 20 indexed citations
13.
Cho, Younggun, et al.. (2019). DehazeGAN: Underwater Haze Image Restoration using Unpaired Image-to-image Translation. IFAC-PapersOnLine. 52(21). 82–85. 7 indexed citations
14.
Jung, Hee‐Won, Hyunchul Roh, Younggun Cho, et al.. (2019). Validation of a Multi–Sensor‐Based Kiosk for Short Physical Performance Battery. Journal of the American Geriatrics Society. 67(12). 2605–2609. 44 indexed citations
15.
Jeong, Jin‐Yong, et al.. (2019). Complex urban dataset with multi-level sensors from highly diverse urban environments. The International Journal of Robotics Research. 38(6). 642–657. 203 indexed citations
16.
Cho, Younggun, Jin‐Yong Jeong, & Ayoung Kim. (2018). Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision. IEEE Robotics and Automation Letters. 1–1. 81 indexed citations
17.
Jeong, Jin‐Yong, Younggun Cho, & Ayoung Kim. (2017). Road-SLAM : Road marking based SLAM with lane-level accuracy. 1736–1473. 56 indexed citations
18.
Cho, Younggun & Ayoung Kim. (2017). Visibility enhancement for underwater visual SLAM based on underwater light scattering model. 710–717. 41 indexed citations
19.
Jeong, Jin‐Yong, et al.. (2016). Accurate Mobile Urban Mapping via Digital Map-Based SLAM. Sensors. 16(8). 1315–1315. 30 indexed citations
20.
Kim, Taehyung, Younggun Cho, Yong–San Yoon, & Se Jin Park. (2001). Dynamic Ride Quality Investigation and DB of Ride Values for Passenger and RV Cars. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 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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