Jin-Gu Kang
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Co-authors
- Jin-Woo JungDong‐Woo LimShun Myung ShinWoo Jin JangLiang WangYong HeXia LiangChao‐Gan Yan
- Topics
- Robotic Path Planning Algorithms (9 papers)Extraction and Separation Processes (6 papers)Robotics and Sensor-Based Localization (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionCognitive Neuroscience
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- South KoreaYemenChina
In The Last Decade
Jin-Gu Kang
31 papers receiving 537 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 174
- Mechanical Engineering 162
- Aerospace Engineering 107
- Electrical and Electronic Engineering 105
- Cognitive Neuroscience 104
Countries citing papers authored by Jin-Gu Kang
This map shows the geographic impact of Jin-Gu Kang'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 Jin-Gu Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Gu Kang more than expected).
Fields of papers citing papers by Jin-Gu Kang
This network shows the impact of papers produced by Jin-Gu Kang. 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 Jin-Gu Kang. The network helps show where Jin-Gu Kang may publish in the future.
Co-authorship network of co-authors of Jin-Gu Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Gu Kang. A scholar is included among the top collaborators of Jin-Gu Kang 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 Jin-Gu Kang. Jin-Gu Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 41 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 37 | |
| 12 | A K-th Shortest Path Set Algorithm for Urban Traffic Network | 2 |
| 13 | 26 | |
| 14 | 19 | |
| 15 | 2 | |
| 16 | 22 | |
| 17 | 98 | |
| 18 | A Study on A Frequency Selection Algorithm for Minimization Power Consumption of Processor in Mobile Communication System | 0 |
| 19 | 31 | |
| 20 | Optimal path planning for the capturing of a moving object | 1 |
About Jin-Gu Kang
Jin-Gu Kang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering, having authored 37 papers that have together received 557 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Extraction and Separation Processes (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (74 citations), Computer Vision and Pattern Recognition (174 citations) and Cognitive Neuroscience (104 citations). Jin-Gu Kang has collaborated with scholars based in South Korea, Yemen and China. Frequent co-authors include Jin-Woo Jung, Dong‐Woo Lim, Shun Myung Shin, Woo Jin Jang, Liang Wang, Yong He, Xia Liang, Chao‐Gan Yan, Jinhui Wang and Dong-Hyo Yang. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and NeuroImage.
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.