Ting-Yu Lin

36 papers and 802 indexed citations i.

About

Ting-Yu Lin is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Plant Science. According to data from OpenAlex, Ting-Yu Lin has authored 36 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Plant Science. Recurrent topics in Ting-Yu Lin’s work include Digital Transformation in Industry (5 papers), Image and Signal Denoising Methods (3 papers) and Natural product bioactivities and synthesis (3 papers). Ting-Yu Lin is often cited by papers focused on Digital Transformation in Industry (5 papers), Image and Signal Denoising Methods (3 papers) and Natural product bioactivities and synthesis (3 papers). Ting-Yu Lin collaborates with scholars based in Taiwan, China and Hong Kong. Ting-Yu Lin's co-authors include Sheng‐Yang Wang, Xianbin Wang, Weiming Shen, Chen Yang, Je‐Ruei Liu, Chi‐Chung Peng, Yunwen Wang, Yuzhi Zhao, Lai-Man Po and Chien‐Tsong Lin and has published in prestigious journals such as Applied Physics Letters, Physical Review B and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Ting-Yu Lin i

Fields of papers citing papers by Ting-Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Yu 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 Ting-Yu Lin. The network helps show where Ting-Yu Lin may publish in the future.

Countries citing papers authored by Ting-Yu Lin

Since Specialization
Citations

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

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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2025