Jyh-Han Lin

About

Jyh-Han Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Jyh-Han Lin has authored 10 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Jyh-Han Lin’s work include Machine Learning and Algorithms (6 papers), Machine Learning and Data Classification (5 papers) and Neural Networks and Applications (3 papers). Jyh-Han Lin is often cited by papers focused on Machine Learning and Algorithms (6 papers), Machine Learning and Data Classification (5 papers) and Neural Networks and Applications (3 papers). Jyh-Han Lin collaborates with scholars based in United States. Jyh-Han Lin's co-authors include Jeffrey Scott Vitter, Guobin Shen, Chunshui Zhao, Feng Zhao, Thomas Moscibroda and Liqun Li and has published in prestigious journals such as Machine Learning, Information and Computation and Information Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Jyh-Han Lin i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Jyh-Han Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jyh-Han Lin

Since Specialization

Citations

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

Explore authors with similar magnitude of impact