Chang-Soo Han
- Mechanical Engineering top 5%
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Daehie HongBaeksuk ChuKyungmo JungJinhee JangSeung Yeol LeeJi Yeong LeeAbdul Manan KhanRui-Jun Yan
- Topics
- Robotic Path Planning Algorithms (19 papers)Stroke Rehabilitation and Recovery (16 papers)Prosthetics and Rehabilitation Robotics (16 papers)
- Cited by
- Control and Systems EngineeringAutomotive EngineeringIndustrial and Manufacturing Engineering
- Partner nations
- South KoreaPakistanUnited States
In The Last Decade
Chang-Soo Han
101 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Mechanical Engineering 553
- Control and Systems Engineering 489
- Biomedical Engineering 426
- Automotive Engineering 209
- Computer Vision and Pattern Recognition 207
Countries citing papers authored by Chang-Soo Han
This map shows the geographic impact of Chang-Soo Han'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-Soo Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang-Soo Han more than expected).
Fields of papers citing papers by Chang-Soo Han
This network shows the impact of papers produced by Chang-Soo Han. 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-Soo Han. The network helps show where Chang-Soo Han may publish in the future.
Co-authorship network of co-authors of Chang-Soo Han
This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Soo Han. A scholar is included among the top collaborators of Chang-Soo Han 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-Soo Han. Chang-Soo Han 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | Sensor-based navigation algorithm for car-like robot to generate completed GVG | 0 |
| 12 | 194 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | Development of 3-DOF Parallel Manipulator Using Flexure Hinge | 4 |
| 16 | 17 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | The control strategy of Steer-by-Wire with HILS system | 4 |
| 20 | Estimation of Real Boundary with Subpixel Accuracy in Digital Imagery | 2 |
About Chang-Soo Han
Chang-Soo Han is a scholar working on Rehabilitation, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (19 papers), Stroke Rehabilitation and Recovery (16 papers) and Prosthetics and Rehabilitation Robotics (16 papers). The work is most often cited by research in Control and Systems Engineering (489 citations), Automotive Engineering (209 citations) and Industrial and Manufacturing Engineering (167 citations). Chang-Soo Han has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Daehie Hong, Baeksuk Chu, Kyungmo Jung, Jinhee Jang, Seung Yeol Lee, Ji Yeong Lee, Abdul Manan Khan, Rui-Jun Yan, Dong‐Hyung Kim and Younsung Choi. Their work appears in journals such as Sensors, Journal of Sound and Vibration and Medicine.
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.