Jun‐Juh Yan

148 papers and 2.9k indexed citations i.

About

Jun‐Juh Yan is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Jun‐Juh Yan has authored 148 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Statistical and Nonlinear Physics, 81 papers in Computer Networks and Communications and 49 papers in Control and Systems Engineering. Recurrent topics in Jun‐Juh Yan’s work include Chaos control and synchronization (80 papers), Nonlinear Dynamics and Pattern Formation (55 papers) and Neural Networks Stability and Synchronization (46 papers). Jun‐Juh Yan is often cited by papers focused on Chaos control and synchronization (80 papers), Nonlinear Dynamics and Pattern Formation (55 papers) and Neural Networks Stability and Synchronization (46 papers). Jun‐Juh Yan collaborates with scholars based in Taiwan, United States and China. Jun‐Juh Yan's co-authors include Teh‐Lu Liao, Zhixiao Xie, Her‐Terng Yau, Kuo‐Kai Shyu, Wei‐Der Chang, Yi‐You Hou, Chao‐Lin Kuo, Jean‐Claude Thill, Chi‐Chuan Hwang and Jason Sheng-Hong Tsai and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Jun‐Juh Yan i

Fields of papers citing papers by Jun‐Juh Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Juh Yan. 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 Jun‐Juh Yan. The network helps show where Jun‐Juh Yan may publish in the future.

Countries citing papers authored by Jun‐Juh Yan

Since Specialization
Citations

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