Yong K. Hwang
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence
- Mechanical Engineering
- Topics
- Robotic Path Planning Algorithms (4 papers)Modular Robots and Swarm Intelligence (3 papers)Robotics and Sensor-Based Localization (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignControl and Systems Engineering
- Journals
- ACM Computing SurveysThe International Journal of Robotics ResearchJournal of Advanced Computational Intelligence and Intelligent Informatics
- Partner nations
- United StatesSouth Korea
In The Last Decade
Yong K. Hwang
6 papers receiving 544 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 529
- Aerospace Engineering 272
- Control and Systems Engineering 267
- Artificial Intelligence 85
- Mechanical Engineering 77
Countries citing papers authored by Yong K. Hwang
This map shows the geographic impact of Yong K. Hwang'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 Yong K. Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong K. Hwang more than expected).
Fields of papers citing papers by Yong K. Hwang
This network shows the impact of papers produced by Yong K. Hwang. 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 Yong K. Hwang. The network helps show where Yong K. Hwang may publish in the future.
Co-authorship network of co-authors of Yong K. Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Yong K. Hwang. A scholar is included among the top collaborators of Yong K. Hwang 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 Yong K. Hwang. Yong K. Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | Gross motion planning—a surveybreakdown → | 593 |
| 5 | Robot path planning using potential field representation | 3 |
| 6 | 8 |
About Yong K. Hwang
Yong K. Hwang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 6 papers that have together received 620 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (4 papers), Modular Robots and Swarm Intelligence (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (529 citations), Computer Graphics and Computer-Aided Design (45 citations) and Control and Systems Engineering (267 citations). Yong K. Hwang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Narendra Ahuja, Patrick Xavier, Hyun-Seok Kim, Yuchul Jung, Sooyong Lee and Hyun S. Kim. Their work appears in journals such as ACM Computing Surveys, The International Journal of Robotics Research and Journal of Advanced Computational Intelligence and Intelligent Informatics.
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.