Yonghoon Ji

940 total citations
71 papers, 671 citations indexed

About

Yonghoon Ji is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Oceanography. According to data from OpenAlex, Yonghoon Ji has authored 71 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Aerospace Engineering, 41 papers in Computer Vision and Pattern Recognition and 15 papers in Oceanography. Recurrent topics in Yonghoon Ji's work include Robotics and Sensor-Based Localization (43 papers), Robotic Path Planning Algorithms (16 papers) and Underwater Acoustics Research (15 papers). Yonghoon Ji is often cited by papers focused on Robotics and Sensor-Based Localization (43 papers), Robotic Path Planning Algorithms (16 papers) and Underwater Acoustics Research (15 papers). Yonghoon Ji collaborates with scholars based in Japan, South Korea and United States. Yonghoon Ji's co-authors include Hajime Asama, Atsushi Yamashita, Yusuke Tamura, Hanwool Woo, Yasunori Yamamoto, Hiroshi Tsuchiya, Hitoshi Kono, Kazunori Umeda, Yusuke Tanaka and Hiromitsu Fujii and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Yonghoon Ji

66 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonghoon Ji Japan 17 292 271 192 136 133 71 671
Bertrand Douillard Australia 15 482 1.7× 396 1.5× 255 1.3× 75 0.6× 27 0.2× 35 999
Enrico Petritoli Italy 15 72 0.2× 262 1.0× 49 0.3× 180 1.3× 39 0.3× 51 675
Nathaniel Fairfield United States 11 245 0.8× 275 1.0× 82 0.4× 173 1.3× 53 0.4× 15 525
Pingping Lu China 16 137 0.5× 225 0.8× 207 1.1× 67 0.5× 14 0.1× 66 606
Junichi MEGURO Japan 12 197 0.7× 433 1.6× 128 0.7× 98 0.7× 12 0.1× 56 661
Hai Huang China 12 312 1.1× 109 0.4× 27 0.1× 202 1.5× 60 0.5× 54 624
Martin Kunert Germany 14 91 0.3× 261 1.0× 131 0.7× 32 0.2× 20 0.2× 40 524
Seongwook Lee South Korea 16 88 0.3× 617 2.3× 49 0.3× 107 0.8× 40 0.3× 105 949
Liang Yang China 14 243 0.8× 102 0.4× 19 0.1× 115 0.8× 21 0.2× 46 615
Steve Scheding Australia 15 226 0.8× 354 1.3× 86 0.4× 97 0.7× 29 0.2× 41 760

Countries citing papers authored by Yonghoon Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yonghoon Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghoon Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghoon Ji. A scholar is included among the top collaborators of Yonghoon 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 Yonghoon Ji. Yonghoon Ji 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.
Ji, Yonghoon, et al.. (2025). ACSim: A Novel Acoustic Camera Simulator With Recursive Ray Tracing, Artifact Modeling, and Ground Truthing. IEEE Transactions on Robotics. 41. 2970–2989.
2.
Ji, Yonghoon, et al.. (2024). Acoustic-N-Point for Solving 2D Forward Looking Sonar Pose Estimation. IEEE Robotics and Automation Letters. 9(2). 1652–1659. 3 indexed citations
3.
4.
Ji, Yonghoon, et al.. (2022). Motion Control of Mobile Robot for Snowy Environment. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2022(0). 2P1–F06. 1 indexed citations
5.
Ji, Yonghoon, et al.. (2021). Performance Improvement of ICP-SLAM by Human Removal Process Using YOLO. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021(0). 1P1–L03. 1 indexed citations
6.
Ji, Yonghoon, et al.. (2021). Performance Improvement of SLAM Based on Global Registration Using LiDAR Intensity and Measurement Data of Puddle. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021(0). 2A1–O01.
7.
Ji, Yonghoon, et al.. (2021). CycleGAN-based realistic image dataset generation for forward-looking sonar. Advanced Robotics. 35(3-4). 242–254. 30 indexed citations
8.
Ji, Yonghoon, et al.. (2021). Elevation Angle Estimation in 2D Acoustic Images Using Pseudo Front View. IEEE Robotics and Automation Letters. 6(2). 1535–1542. 26 indexed citations
9.
Ji, Yonghoon, Hanwool Woo, Yusuke Tamura, et al.. (2020). Acoustic Camera-Based Pose Graph SLAM for Dense 3-D Mapping in Underwater Environments. IEEE Journal of Oceanic Engineering. 46(3). 829–847. 22 indexed citations
10.
Ji, Yonghoon, et al.. (2020). ACMarker: Acoustic Camera-Based Fiducial Marker System in Underwater Environment. IEEE Robotics and Automation Letters. 5(4). 5018–5025. 16 indexed citations
11.
Ji, Yonghoon, et al.. (2020). Stereo Measurement of Cross-Sectional Shape of Weld Beads by Marking. 1 indexed citations
12.
Takahashi, Masahiro, et al.. (2020). Expandable YOLO: 3D Object Detection from RGB-D Images. 1–5. 21 indexed citations
13.
Woo, Hanwool, et al.. (2019). Efficient Motion Planning for Mobile Robots Dealing with Changes in Rough Terrain. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2019(0). 2A2–C13. 1 indexed citations
14.
Fujii, Hiromitsu, Yusuke Tamura, Hiroshi Yamakawa, et al.. (2019). Development of Construction Technology for Intelligent Construction System. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2019(0). 1P2–D03.
15.
Ji, Yonghoon, Atsushi Yamashita, Kazunori Umeda, & Hajime Asama. (2019). Automatic camera pose estimation based on a flat surface map. 1. 85–85. 2 indexed citations
16.
Ji, Yonghoon, Yusuke Tanaka, Yusuke Tamura, et al.. (2018). Adaptive Motion Planning Based on Vehicle Characteristics and Regulations for Off-Road UGVs. IEEE Transactions on Industrial Informatics. 15(1). 599–611. 31 indexed citations
17.
Ji, Yonghoon, et al.. (2017). 3D-2D Matching of Line Features for Spherical Camera Localization in Man-made Environment. Journal of the Japan Society for Precision Engineering. 83(12). 1209–1215. 1 indexed citations
18.
Woo, Hanwool, Yonghoon Ji, Yusuke Tamura, et al.. (2017). Driver classification in vehicle following behavior by using dynamic potential field method. 1–6. 8 indexed citations
19.
Woo, Hanwool, Yonghoon Ji, Hitoshi Kono, et al.. (2015). Detection Method of Lane Change Intentions in Other Drivers Using Hidden Markov Models. 2015.6(0). 253–254. 1 indexed citations
20.
Ji, Yonghoon, et al.. (2011). Outdoor mobile robot localization using Hausdorff distance-based matching between COAG features of elevation maps and laser range data. International Conference on Control, Automation and Systems. 686–689. 2 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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