Yu‐Hsiu Lin
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 5%
- Building and Construction top 2%
- Renewable Energy, Sustainability and the Environment top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Men‐Shen TsaiYu‐Chen HuYung-Yao ChenChih‐Hsien HsiaChin‐Sheng ChenChe-Ming ChangMing‐Hung ChenBin-Da Liu
- Topics
- Smart Grid Energy Management (27 papers)Energy Load and Power Forecasting (17 papers)IoT-based Smart Home Systems (8 papers)
- Cited by
- Building and ConstructionElectrical and Electronic EngineeringControl and Systems Engineering
- Journals
- Applied EnergyIEEE AccessSensors
In The Last Decade
Yu‐Hsiu Lin
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Electrical and Electronic Engineering 860
- Control and Systems Engineering 322
- Building and Construction 269
- Renewable Energy, Sustainability and the Environment 125
- Computer Vision and Pattern Recognition 115
Countries citing papers authored by Yu‐Hsiu Lin
This map shows the geographic impact of Yu‐Hsiu Lin'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 Yu‐Hsiu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hsiu Lin more than expected).
Fields of papers citing papers by Yu‐Hsiu Lin
This network shows the impact of papers produced by Yu‐Hsiu Lin. 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 Yu‐Hsiu Lin. The network helps show where Yu‐Hsiu Lin may publish in the future.
Co-authorship network of co-authors of Yu‐Hsiu Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hsiu Lin. A scholar is included among the top collaborators of Yu‐Hsiu Lin 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 Yu‐Hsiu Lin. Yu‐Hsiu Lin 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 | 4 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 26 | |
| 7 | 26 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 48 | |
| 14 | Applications of intelligent multi-agent systems for smart distribution systems | 1 |
| 15 | 12 | |
| 16 | 108 | |
| 17 | 130 | |
| 18 | 119 | |
| 19 | 9 | |
| 20 | 28 |
About Yu‐Hsiu Lin
Yu‐Hsiu Lin is a scholar working on Building and Construction, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Grid Energy Management (27 papers), Energy Load and Power Forecasting (17 papers) and IoT-based Smart Home Systems (8 papers). The work is most often cited by research in Building and Construction (269 citations), Electrical and Electronic Engineering (860 citations) and Control and Systems Engineering (322 citations). Yu‐Hsiu Lin has collaborated with scholars based in Taiwan, India and Germany. Frequent co-authors include Men‐Shen Tsai, Yu‐Chen Hu, Yung-Yao Chen, Chih‐Hsien Hsia, Chin‐Sheng Chen, Che-Ming Chang, Ming‐Hung Chen, Bin-Da Liu, Chi‐Hung Lin and Jar‐Ferr Yang. Their work appears in journals such as Applied Energy, IEEE Access and Sensors.
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.