Jing‐Sin Liu
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Biomedical Engineering
- Co-authors
- Chiang‐Ju ChienTzu-Chen LiangYau‐Zen ChangWei‐Song LinWan‐Chi LeeKao‐Shing HwangJinliang ChenShyh‐Leh Chen
- Topics
- Robotic Path Planning Algorithms (50 papers)Control and Dynamics of Mobile Robots (20 papers)Robotics and Sensor-Based Localization (18 papers)
In The Last Decade
Jing‐Sin Liu
71 papers receiving 631 citations
Peers
Comparison fields: 5 of 67
- Control and Systems Engineering 374
- Computer Vision and Pattern Recognition 348
- Aerospace Engineering 141
- Mechanical Engineering 90
- Biomedical Engineering 84
Countries citing papers authored by Jing‐Sin Liu
This map shows the geographic impact of Jing‐Sin Liu'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 Jing‐Sin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Sin Liu more than expected).
Fields of papers citing papers by Jing‐Sin Liu
This network shows the impact of papers produced by Jing‐Sin Liu. 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 Jing‐Sin Liu. The network helps show where Jing‐Sin Liu may publish in the future.
Co-authorship network of co-authors of Jing‐Sin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Sin Liu. A scholar is included among the top collaborators of Jing‐Sin Liu 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 Jing‐Sin Liu. Jing‐Sin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | Ellipsoidal Modeling for Articulated Robot Manipulators for Interactive Motion Planning | 2 |
| 18 | 24 | |
| 19 | 9 | |
| 20 | 20 |
About Jing‐Sin Liu
Jing‐Sin Liu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 77 papers that have together received 660 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (50 papers), Control and Dynamics of Mobile Robots (20 papers) and Robotics and Sensor-Based Localization (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (348 citations), Control and Systems Engineering (374 citations) and Computer Graphics and Computer-Aided Design (44 citations). Jing‐Sin Liu has collaborated with scholars based in Taiwan and Canada. Frequent co-authors include Chiang‐Ju Chien, Tzu-Chen Liang, Yau‐Zen Chang, Wei‐Song Lin, Wan‐Chi Lee, Kao‐Shing Hwang, Jinliang Chen, Shyh‐Leh Chen, Li‐Sheng Wang and Ming-Hsiu Lee. Their work appears in journals such as IEEE Transactions on Automatic Control, Fuzzy Sets and Systems and Systems & Control Letters.
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.