Yu Hsin Tsai

454 citations
11 papers · 338 indexed · h-index 8
Topics
Land Use and Ecosystem Services (6 papers)Remote Sensing in Agriculture (5 papers)Remote-Sensing Image Classification (5 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Yu Hsin Tsai

10 papers receiving 333 citations

Peers

Yu Hsin Tsai
Comparison fields: 5 of 63
  • Global and Planetary Change 204
  • Ecology 190
  • Media Technology 73
  • Environmental Engineering 73
  • Atmospheric Science 52
Replace Martina Duerauer with:
Martina Duerauer Austria
Nikhil Lele India
Benjamin Jakimow Germany
Stanisław Lewiński Poland
Lan H. Nguyen United States
Hsiao-chien Shih United States
Pekka Hurskainen Finland
Jonathan V. Solórzano Mexico
Kwame Oppong Hackman Ghana
Adeline Maciel Brazil
Yu Hsin Tsai relative to Martina Duerauer Austria Martina Duerauer's profile →
Citations per field
00.5×1.5×
Martina Duerauer · 1×
Citations per year

Countries citing papers authored by Yu Hsin Tsai

Since Specialization
Citations

This map shows the geographic impact of Yu Hsin Tsai'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 Hsin Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Hsin Tsai more than expected).

Fields of papers citing papers by Yu Hsin Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Hsin Tsai. 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 Hsin Tsai. The network helps show where Yu Hsin Tsai may publish in the future.

Co-authorship network of co-authors of Yu Hsin Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Hsin Tsai. A scholar is included among the top collaborators of Yu Hsin Tsai 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 Hsin Tsai. Yu Hsin Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 27
3 15
4 25
5 24
6 121
7 79
8 7
9 2
10
AUTOMATED DETECTION OF PEOPLE AND VEHICLES IN NATURAL ENVIRONMENTS USING HIGH TEMPORAL RESOLUTION AIRBORNE REMOTE SENSING
10
11 28

About Yu Hsin Tsai

Yu Hsin Tsai is a scholar working on Media Technology, Global and Planetary Change and Ecology, having authored 11 papers that have together received 338 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (6 papers), Remote Sensing in Agriculture (5 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Global and Planetary Change (204 citations), Media Technology (73 citations) and Ecology (190 citations). Yu Hsin Tsai has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Douglas A. Stow, Rebecca L. Lewison, Li An, Hsiang Ling Chen, Hsiao-chien Shih, Lei Shi, John R. Weeks, Lei Shi, David López‐Carr and Keith Clarke. Their work appears in journals such as International Journal of Remote Sensing, Remote Sensing and Biodiversity and Conservation.

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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