Ming Hsiao
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
-
- Robotics and Sensor-Based Localization 11
-
- Advanced Vision and Imaging 5
- Robotic Path Planning Algorithms 3
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Michael Kaess (6 shared papers)Eric Westman (3 shared papers)Guofeng Zhang (1 shared paper)Ren C. Luo (5 shared papers)Paloma Sodhi (1 shared paper)Rafael Valencia (1 shared paper)Jakob Engel (1 shared paper)Jing Dong (1 shared paper)
- Journals
- 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesTaiwanIsrael
In The Last Decade
Ming Hsiao
13 papers receiving 307 citations
Peers
Comparison fields: 5 of 38
- Geology 92
- Aerospace Engineering 251
- Computer Vision and Pattern Recognition 170
- Ocean Engineering 38
- Environmental Engineering 32
Countries citing papers authored by Ming Hsiao
This map shows the geographic impact of Ming Hsiao'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 Ming Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Hsiao more than expected).
Fields of papers citing papers by Ming Hsiao
This network shows the impact of papers produced by Ming Hsiao. 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 Ming Hsiao. The network helps show where Ming Hsiao may publish in the future.
Co-authors
The 11 scholars most cited alongside Ming Hsiao, 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 | 2017 | 94 | |
| 2 | 2018 | 40 | |
| 3 | 2019 | 39 | |
| 4 | 2018 | 34 | |
| 5 | 2018 | 29 | |
| 6 | 2013 | 22 | |
| 7 | 2013 | 17 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2014 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2013 | 3 |
About Ming Hsiao
Ming Hsiao is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Ocean Engineering and Biomedical Engineering, having authored 13 papers that have together received 312 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Indoor and Outdoor Localization Technologies (5 papers), Advanced Vision and Imaging (5 papers), Underwater Vehicles and Communication Systems (4 papers), Robotic Path Planning Algorithms (3 papers), Robotic Locomotion and Control (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Prosthetics and Rehabilitation Robotics (2 papers). The work is most often cited by research in Geology (92 citations), Aerospace Engineering (251 citations), Computer Vision and Pattern Recognition (170 citations), Ocean Engineering (38 citations) and Environmental Engineering (32 citations). Ming Hsiao has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Michael Kaess, Eric Westman, Guofeng Zhang, Ren C. Luo, Paloma Sodhi, Rafael Valencia, Jakob Engel, Jing Dong, Frank Dellaert and Joshua G. Mangelson. Their work appears in journals such as 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.