Jin‐Fa Lin

22 papers and 271 indexed citations i.

About

Jin‐Fa Lin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Jin‐Fa Lin has authored 22 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 8 papers in Computational Theory and Mathematics. Recurrent topics in Jin‐Fa Lin’s work include Low-power high-performance VLSI design (19 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers) and Analog and Mixed-Signal Circuit Design (8 papers). Jin‐Fa Lin is often cited by papers focused on Low-power high-performance VLSI design (19 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers) and Analog and Mixed-Signal Circuit Design (8 papers). Jin‐Fa Lin collaborates with scholars based in Taiwan and China. Jin‐Fa Lin's co-authors include Yin‐Tsung Hwang, Ming‐Hwa Sheu, Suocheng Wei, Po‐Yu Kuo, Shih‐Chang Hsia, Chuan‐Yu Chang and Ya‐Hsin Hsueh and has published in prestigious journals such as Sensors, Electronics Letters and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Jin‐Fa Lin i

Fields of papers citing papers by Jin‐Fa Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Fa 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 Jin‐Fa Lin. The network helps show where Jin‐Fa Lin may publish in the future.

Countries citing papers authored by Jin‐Fa Lin

Since Specialization
Citations

This map shows the geographic impact of Jin‐Fa 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 Jin‐Fa Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Fa 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