Ching‐Long Shih

1.6k citations
58 papers · 1.3k · h-index 20

Impact in

Papers in

Ching‐Long Shih

54 papers receiving 1.3k citations

Peers

Ching‐Long Shih
Comparison fields: 5 of 70
  • Control and Systems Engineering 651
  • Biomedical Engineering 927
  • Genetics 109
  • Computer Vision and Pattern Recognition 213
  • Oral Surgery 53
Replace Amir Degani with:
Amir Degani Israel
Noriho Koyachi Japan
Jong Hyeon Park South Korea
Zhangguo Yu China
Dennis Hong United States
Jung-Yup Kim South Korea
Johannes Englsberger Germany
Twan Koolen United States
Leonardo Lanari Italy
Ching‐Long Shih relative to Amir Degani Israel Amir Degani's profile →
Citations per field
00.5×9.9×
Amir Degani · 1×
Citations per year

Countries citing papers authored by Ching‐Long Shih

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Ching‐Long Shih Line = papers co-authored together Ching‐Long Shih links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009218
2 2002104
3 199992
4 200978
5 200671
6 199269
7 200467
8 199053
9 201245
10 198643
11 199341
12 199739
13 199637
14 201729
15 199325
16 200724
17 200223
18 200822
19 202019
20 199819

About Ching‐Long Shih

Ching‐Long Shih is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Civil and Structural Engineering, having authored 58 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 (10 papers), Vehicle Dynamics and Control Systems (8 papers), Advanced Vision and Imaging (8 papers), Robotic Path Planning Algorithms (7 papers) and Soil Mechanics and Vehicle Dynamics (7 papers). The work is most often cited by research in Control and Systems Engineering (651 citations), Biomedical Engineering (927 citations), Genetics (109 citations), Computer Vision and Pattern Recognition (213 citations) and Oral Surgery (53 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, Hsiu‐Ming Wu, Chih‐Lyang Hwang, Won‐Young Lee, J.W. Grizzle, Charles A. Klein and Yong Zhu. Their work appears in journals such as Robotica, Journal of Vibration and Control, Robotics, Asian Journal of Control and The International Journal of Advanced Manufacturing Technology.

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.

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