Ching‐Long Shih
Impact in
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- Control and Dynamics of Mobile Robots
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Biomedical Engineering top 5%
- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
Papers in
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- Control and Dynamics of Mobile Robots 17
-
- Robotic Path Planning Algorithms 7
- Advanced Vision and Imaging 6
- Co-authors
- Christine ChevallereauW.A. GruverJessy W. GrizzleTsu‐Tian LeeChih‐Lyang HwangHsiu‐Ming WuWon‐Young LeeJ.W. Grizzle
- Journals
- Robotica (3 papers)Robotics (2 papers)The International Journal of Advanced Manufacturing Technology (2 papers)Journal of Vibration and Control (2 papers)Journal of Dynamic Systems Measurement and Control (2 papers)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Ching‐Long Shih
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Control and Systems Engineering 626
- Biomedical Engineering 884
- Computer Vision and Pattern Recognition 196
- Genetics 99
- Oral Surgery 56
Countries citing papers authored by Ching‐Long Shih
This map shows the geographic impact of Ching‐Long Shih'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 Ching‐Long Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Long Shih more than expected).
Fields of papers citing papers by Ching‐Long Shih
This network shows the impact of papers produced by Ching‐Long Shih. 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 Ching‐Long Shih. The network helps show where Ching‐Long Shih may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ching‐Long Shih, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2020 | 17 | |
| 3 | 2019 | 0 | |
| 4 | 2015 | 2 | |
| 5 | 2011 | 3 | |
| 6 | 2011 | 1 | |
| 7 | 2009 | 210 | |
| 8 | 2008 | 22 | |
| 9 | 2006 | 68 | |
| 10 | 2004 | 13 | |
| 11 | 2004 | 66 | |
| 12 | 2004 | 5 | |
| 13 | 1999 | 0 | |
| 14 | 1999 | 8 | |
| 15 | 1998 | 17 | |
| 16 | 1997 | 1 | |
| 17 | 1996 | 33 | |
| 18 | 1992 | 63 | |
| 19 | 1991 | 5 | |
| 20 | 1986 | 8 |
About Ching‐Long Shih
Ching‐Long Shih is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Automotive Engineering, Computer Graphics and Computer-Aided Design and Biomedical Engineering, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (21 papers), Control and Dynamics of Mobile Robots (17 papers), Prosthetics and Rehabilitation Robotics (12 papers), Robotics and Sensor-Based Localization (9 papers), Vehicle Dynamics and Control Systems (8 papers), Soil Mechanics and Vehicle Dynamics (7 papers), Robotic Path Planning Algorithms (7 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Control and Systems Engineering (626 citations), Biomedical Engineering (884 citations), Computer Vision and Pattern Recognition (196 citations), Genetics (99 citations) and Oral Surgery (56 citations). Ching‐Long Shih has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Christine Chevallereau, W.A. Gruver, Jessy W. Grizzle, Tsu‐Tian Lee, Chih‐Lyang Hwang, Hsiu‐Ming Wu, Won‐Young Lee, J.W. Grizzle, Charles A. Klein and Yong Zhu. Their work appears in journals such as Robotica, Robotics, The International Journal of Advanced Manufacturing Technology, Journal of Vibration and Control and Journal of Dynamic Systems Measurement and Control.
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.