Gon-Woo Kim

834 total citations
61 papers, 575 citations indexed

About

Gon-Woo Kim is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Gon-Woo Kim has authored 61 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Aerospace Engineering, 47 papers in Computer Vision and Pattern Recognition and 10 papers in Environmental Engineering. Recurrent topics in Gon-Woo Kim's work include Robotics and Sensor-Based Localization (49 papers), Robotic Path Planning Algorithms (27 papers) and Remote Sensing and LiDAR Applications (10 papers). Gon-Woo Kim is often cited by papers focused on Robotics and Sensor-Based Localization (49 papers), Robotic Path Planning Algorithms (27 papers) and Remote Sensing and LiDAR Applications (10 papers). Gon-Woo Kim collaborates with scholars based in South Korea, United States and Vietnam. Gon-Woo Kim's co-authors include Seunghwan Park, Beom-Hee Lee, Do‐Hyeong Kim, Zeeshan Javed, Duc‐Toan Nguyen, Young-Guk Ha, Sang‐Moo Lee, Soo‐Yong Lee, Jae‐Min Lee and Jaehwan Kim and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Gon-Woo Kim

52 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gon-Woo Kim South Korea 11 364 343 119 103 94 61 575
Renaud Dubé Switzerland 14 469 1.3× 385 1.1× 116 1.0× 121 1.2× 109 1.2× 20 675
Ryan W. Wolcott United States 5 439 1.2× 312 0.9× 143 1.2× 100 1.0× 178 1.9× 9 597
Damien Vivet France 10 342 0.9× 239 0.7× 146 1.2× 82 0.8× 72 0.8× 37 550
Huan Yin China 15 486 1.3× 326 1.0× 204 1.7× 174 1.7× 159 1.7× 41 655
Shunbo Zhou China 11 278 0.8× 265 0.8× 70 0.6× 126 1.2× 82 0.9× 32 474
Abel Gawel Switzerland 13 383 1.1× 331 1.0× 86 0.7× 106 1.0× 82 0.9× 28 582
Jikai Wang China 12 341 0.9× 327 1.0× 69 0.6× 119 1.2× 81 0.9× 60 517
Zayed Alsayed France 3 418 1.1× 311 0.9× 206 1.7× 63 0.6× 67 0.7× 5 609
Hyungtae Lim South Korea 16 569 1.6× 369 1.1× 102 0.9× 257 2.5× 277 2.9× 33 783
Michael Ruhnke Germany 13 777 2.1× 601 1.8× 226 1.9× 209 2.0× 134 1.4× 20 925

Countries citing papers authored by Gon-Woo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gon-Woo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gon-Woo Kim. 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 Gon-Woo Kim. The network helps show where Gon-Woo Kim may publish in the future.

Co-authorship network of co-authors of Gon-Woo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Gon-Woo Kim. A scholar is included among the top collaborators of Gon-Woo Kim 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 Gon-Woo Kim. Gon-Woo Kim 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, Gon-Woo, et al.. (2025). FusionGS-SLAM: Multiple Sensors Fusion for Localization and Real-Time Photorealistic Mapping. IEEE Robotics and Automation Letters. 10(9). 8690–8697. 1 indexed citations
2.
3.
Kim, Gon-Woo, et al.. (2024). Fusion consistency for industrial robot navigation: An integrated SLAM framework with multiple 2D LiDAR-visual-inertial sensors. Computers & Electrical Engineering. 120. 109607–109607. 5 indexed citations
4.
Kim, Gon-Woo, et al.. (2024). SLGD-Loop: A Semantic Local and Global Descriptor-Based Loop Closure Detection for Long-Term Autonomy. IEEE Transactions on Intelligent Transportation Systems. 25(12). 19714–19728.
5.
Kim, Gon-Woo, et al.. (2024). IMU Augment Tightly Coupled Lidar-Visual-Inertial Odometry for Agricultural Environments. IEEE Robotics and Automation Letters. 9(10). 8483–8490. 2 indexed citations
6.
Kim, Gon-Woo, et al.. (2023). A Robust Feature Matching Strategy for Fast and Effective Visual Place Recognition in Challenging Environmental Conditions. International Journal of Control Automation and Systems. 21(3). 948–962. 11 indexed citations
7.
Kim, Gon-Woo, et al.. (2022). Trainable Quaternion Extended Kalman Filter with Multi-Head Attention for Dead Reckoning in Autonomous Ground Vehicles. Sensors. 22(20). 7701–7701. 1 indexed citations
8.
Kim, Gon-Woo, et al.. (2021). Semantics Aware Dynamic SLAM Based on 3D MODT. Sensors. 21(19). 6355–6355. 6 indexed citations
9.
Kim, Gon-Woo, et al.. (2021). Online Self-Calibration of Multiple 2D LiDARs Using Line Features With Fuzzy Adaptive Covariance. IEEE Sensors Journal. 21(12). 13714–13726. 11 indexed citations
10.
Kim, Gon-Woo, et al.. (2021). Solid-State LiDAR based-SLAM: A Concise Review and Application. 302–305. 66 indexed citations
11.
Kim, Gon-Woo, et al.. (2021). Goal-Oriented Navigation with Avoiding Obstacle based on Deep Reinforcement Learning in Continuous Action Space. 2021 21st International Conference on Control, Automation and Systems (ICCAS). 8–11. 4 indexed citations
12.
Kim, Gon-Woo, et al.. (2020). Clothoid: An Integrated Hierarchical Framework for Autonomous Driving in a Dynamic Urban Environment. Sensors. 20(18). 5053–5053. 7 indexed citations
13.
Kim, Gon-Woo, et al.. (2018). Fuzzy Logic and Deep Steering Control based Recommendation System for Self-Driving Car. International Conference on Control, Automation and Systems. 11 indexed citations
14.
Kim, Do‐Hyeong, et al.. (2018). Improved LiDAR-Camera Calibration Using Marker Detection Based on 3D Plane Extraction. Journal of Electrical Engineering and Technology. 13(6). 2530–2544. 6 indexed citations
15.
Lee, Jae‐Min & Gon-Woo Kim. (2016). A Camera Pose Estimation Method for Rectangle Feature based Visual SLAM. The Journal of Korea Robotics Society. 11(1). 33–40. 2 indexed citations
16.
Kim, Gon-Woo, et al.. (2011). Navigation of a Mobile Robot Using Nonlinear Least Squares Optimization. The Transactions of The Korean Institute of Electrical Engineers. 60(7). 1404–1409. 1 indexed citations
17.
Kim, Gon-Woo. (2009). Visual Servoing of a Wheeled Mobile Robot with the Obstacle Avoidance based on the Nonlinear Optimization using the Modified Cost Function. The Transactions of The Korean Institute of Electrical Engineers. 58(12). 2498–2504. 1 indexed citations
18.
Kim, Su-Jin, et al.. (2008). High Accurate Two-Dimensional Geo-Location System for Social Safety Robot. IFAC Proceedings Volumes. 41(2). 1675–1678. 1 indexed citations
19.
Kim, Gon-Woo, et al.. (2007). Visual Servo Navigation of a Mobile Robot Using Nonlinear Least Squares Optimization for Large Residual. The Journal of Korea Robotics Society. 2(4). 327–333. 1 indexed citations
20.
Kim, Gon-Woo, et al.. (2005). A Study on the Relative Localization Algorithm for Mobile Robots using a Structured Light Technique. Journal of Control Automation and Systems Engineering. 11(8). 678–687. 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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