Chang-bae Moon

408 total citations
20 papers, 299 citations indexed

About

Chang-bae Moon is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Chang-bae Moon has authored 20 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Chang-bae Moon's work include Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (6 papers) and Modular Robots and Swarm Intelligence (2 papers). Chang-bae Moon is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (6 papers) and Modular Robots and Swarm Intelligence (2 papers). Chang-bae Moon collaborates with scholars based in South Korea and United States. Chang-bae Moon's co-authors include Woojin Chung, Hoyeon Kim, Jooyoung Park, Seung-Hwan Kim, Jae-Woo Kim, Dong‐Seong Kim, Jong‐Oh Park, Eunpyo Choi, Chang‐Sei Kim and Ju Min Kim and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and Applied Sciences.

In The Last Decade

Chang-bae Moon

18 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-bae Moon South Korea 6 187 109 99 67 45 20 299
Fernando Martín Spain 11 226 1.2× 176 1.6× 119 1.2× 109 1.6× 37 0.8× 29 445
Krishna Kant Pandey India 10 257 1.4× 78 0.7× 168 1.7× 94 1.4× 57 1.3× 23 325
Shoichi Maeyama Japan 9 256 1.4× 208 1.9× 185 1.9× 62 0.9× 40 0.9× 85 419
Eui-Jung Jung South Korea 10 138 0.7× 82 0.8× 89 0.9× 104 1.6× 19 0.4× 31 299
Sebastian Klemm Germany 9 237 1.3× 131 1.2× 153 1.5× 51 0.8× 29 0.6× 14 364
Jyh-Ming Lien United States 7 205 1.1× 129 1.2× 80 0.8× 61 0.9× 36 0.8× 9 310
Tingguang Li Hong Kong 9 200 1.1× 126 1.2× 95 1.0× 47 0.7× 66 1.5× 17 295
Hu Cheng China 11 113 0.6× 92 0.8× 157 1.6× 81 1.2× 37 0.8× 36 336
Boris Gromov Switzerland 7 121 0.6× 122 1.1× 111 1.1× 74 1.1× 37 0.8× 15 340
Naveen Kuppuswamy Switzerland 9 106 0.6× 69 0.6× 160 1.6× 92 1.4× 39 0.9× 35 326

Countries citing papers authored by Chang-bae Moon

Since Specialization
Citations

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

Fields of papers citing papers by Chang-bae Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-bae Moon. 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 Chang-bae Moon. The network helps show where Chang-bae Moon may publish in the future.

Co-authorship network of co-authors of Chang-bae Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-bae Moon. A scholar is included among the top collaborators of Chang-bae Moon 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 Chang-bae Moon. Chang-bae Moon 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, Seung-Hwan, Chang-bae Moon, Jae-Woo Kim, & Dong‐Seong Kim. (2021). A Hybrid Deep Learning Model for Automatic Modulation Classification. IEEE Wireless Communications Letters. 11(2). 313–317. 18 indexed citations
2.
Moon, Chang-bae, et al.. (2021). Inspection System for Vehicle Headlight Defects Based on Convolutional Neural Network. Applied Sciences. 11(10). 4402–4402. 1 indexed citations
3.
Kim, Ju Min, Young-Joo Kim, & Chang-bae Moon. (2020). Human Target Tracking using a 3D Laser Range Finder based on SJPDAF by Filtering the Laser Scanned Point Clouds. International Journal of Control Automation and Systems. 18(6). 1561–1571. 8 indexed citations
4.
Moon, Chang-bae, et al.. (2020). Learning Collision Situation to Convolutional Neural Network Using Collision Grid Map Based on Probability Scheme. Applied Sciences. 10(2). 617–617. 3 indexed citations
6.
Moon, Chang-bae, et al.. (2019). Development of a Practical ICP Outlier Rejection Scheme for Graph-based SLAM Using a Laser Range Finder. International Journal of Precision Engineering and Manufacturing. 20(10). 1735–1745. 2 indexed citations
7.
Kim, Kunhong, et al.. (2018). Inspection of Vehicle Headlight Defects. 23(1). 87–96. 1 indexed citations
8.
Park, Seongyong, et al.. (2017). Trajectory planning for mobile robot with kinodynamic constraints. 893–894. 2 indexed citations
9.
Moon, Chang-bae & Woojin Chung. (2014). Kinodynamic Planner Dual-Tree RRT (DT-RRT) for Two-Wheeled Mobile Robots Using the Rapidly Exploring Random Tree. IEEE Transactions on Industrial Electronics. 62(2). 1080–1090. 114 indexed citations
10.
Moon, Chang-bae, et al.. (2014). Design of Experimental Test Tracks for Odometry Calibration of Wheeled Mobile Robots. The Journal of Korea Robotics Society. 9(3). 160–169. 1 indexed citations
11.
Moon, Chang-bae, et al.. (2013). Music Mood Classification based on a New Feature Reduction Method and Modular Neural Network. Journal of the Korea Industrial Information Systems Research. 18(4). 25–35. 1 indexed citations
12.
Chung, Woojin, et al.. (2011). The Detection and Following of Human Legs Through Inductive Approaches for a Mobile Robot With a Single Laser Range Finder. IEEE Transactions on Industrial Electronics. 59(8). 3156–3166. 103 indexed citations
13.
Moon, Chang-bae, et al.. (2010). Implementation of Automatic Detection System for CCFL's Defects based on Combined Lighting. Journal of the Korea Industrial Information Systems Research. 15(2). 69–81. 1 indexed citations
16.
Moon, Chang-bae, et al.. (2009). Left Ventricle Segmentation Algorithm through Radial Threshold Determination on Cardiac MRI. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 36(10). 825–835. 3 indexed citations
17.
Moon, Chang-bae, et al.. (2008). Binarization of number plate Image with a shadow. Journal of the Korea Industrial Information Systems Research. 13(4). 1–13. 1 indexed citations
18.
19.
Chung, Woojin, et al.. (2007). Safe navigation of a mobile robot using the visibility information. 1304–1309. 4 indexed citations
20.
Chung, Woojin, et al.. (2006). Design of a sensor model and semi-global localization of a mobile service robot. 2006 SICE-ICASE International Joint Conference. 1996. 4260–4265. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026