Chia‐Yin Tsai

668 total citations
17 papers, 500 citations indexed

About

Chia‐Yin Tsai is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Nutrition and Dietetics. According to data from OpenAlex, Chia‐Yin Tsai has authored 17 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Nutrition and Dietetics. Recurrent topics in Chia‐Yin Tsai's work include Plant nutrient uptake and metabolism (4 papers), Food composition and properties (3 papers) and Advanced Vision and Imaging (3 papers). Chia‐Yin Tsai is often cited by papers focused on Plant nutrient uptake and metabolism (4 papers), Food composition and properties (3 papers) and Advanced Vision and Imaging (3 papers). Chia‐Yin Tsai collaborates with scholars based in United States, Taiwan and Canada. Chia‐Yin Tsai's co-authors include Shu‐Jen Wang, Kai‐Wun Yeh, Aswin C. Sankaranarayanan, Ioannis Gkioulekas, Srinivasa G. Narasimhan, Kiriakos N. Kutulakos, Oliver E. Nelson, Ashok Veeraraghavan, Yu-Chiang Frank Wang and Mei-Hui Chen and has published in prestigious journals such as Analytical Biochemistry, Genetics and IEEE Transactions on Image Processing.

In The Last Decade

Chia‐Yin Tsai

16 papers receiving 470 citations

Peers

Chia‐Yin Tsai
Comparison fields: 5 of 63
  • Plant Science 259
  • Nutrition and Dietetics 185
  • Biomedical Engineering 96
  • Instrumentation 92
  • Molecular Biology 85
S. Mahesh Canada
Tadayoshi Hirai Japan
Maja Musse France
Junyin Zhang China
N. Toyofuku United States
Donghong Chen China
Mireille Cambert France
Stéphane Quellec France
Andreas Renz Germany
L. Le Guillou France
S. Mahesh Canada View profile →
Citations per field, relative to Chia‐Yin Tsai
Chia‐Yin Tsai · 1×
Citations per year, relative to Chia‐Yin Tsai
Chia‐Yin Tsai · 1×

Countries citing papers authored by Chia‐Yin Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Yin Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Yin 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 Chia‐Yin Tsai. The network helps show where Chia‐Yin Tsai may publish in the future.

Co-authorship network of co-authors of Chia‐Yin Tsai

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 54
2 0
3 53
4 4
5 10
6 8
7 3
8
Video instance search for embedded marketing
1
9 11
10 8
11 68
12 1
13 35
14 28
15 171
16 25
17 20

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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2026