Topological State Estimation is a mathematical framework within topological localization that characterizes the inference of a system's state through topological invariants and structural relationships in its configuration space, distinguishing it from metric-based estimation by focusing on qualitative spatial properties preserved under continuous deformations.
39
Publications
1.9K
Citations
117
Authors
68
Institutions
Publications per year
2017–2026
11
Parents
Publications
39
Measurement of topological invariants in a 2D photonic system
Sunil Mittal, Sriram Ganeshan, Jingyun Fan et al. · Nature Photonics · 2016 · 188 citations · Full text
Inverse design of photonic topological state via machine learning
Yang Long, Jie Ren, Yunhui Li et al. · Applied Physics Letters · 2019 · 146 citations
1–5 of 39
Authors
117
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1–5 of 117
Institutions
68
Meiji University
Tokyo, Japan
2 h-index
4 publications
202 citations
Pohang University of Science and Technology
Pohang, South Korea
2 h-index
6 publications
132 citations
North Carolina State University
Raleigh, United States
2 h-index
5 publications
142 citations
Hongik University
Seoul, South Korea
1 h-index
2 publications
26 citations
Wuhan University of Technology
Wuhan, China
1 h-index
4 publications
108 citations
University of Connecticut
Storrs, United States
1 h-index
1 publications
25 citations
Westinghouse Electric (United States)
Cranberry Township, United States
1 h-index
2 publications
80 citations
Chalmers University of Technology
Gothenburg, Sweden
1 h-index
1 publications
15 citations
1–8 of 68
Venues
- IEEE Transactions on Power Systems
6 publications · 276 citations
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- IEEE Transactions on Power Apparatus and Systems
3 publications · 246 citations
3
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- Robotics and Autonomous Systems
2 publications · 192 citations
2
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- Autonomous Robots
2 publications · 82 citations
2
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- IEEE Internet of Things Journal
1 publications · 13 citations
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1–5