Guan-Chun Luh

23 papers and 711 indexed citations i.

About

Guan-Chun Luh is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guan-Chun Luh has authored 23 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 8 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guan-Chun Luh’s work include Artificial Immune Systems Applications (11 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Guan-Chun Luh is often cited by papers focused on Artificial Immune Systems Applications (11 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Guan-Chun Luh collaborates with scholars based in Taiwan and United States. Guan-Chun Luh's co-authors include Chun-Yi Lin, Weiwen Liu, Weiwen Liu, Giorgio Rizzoni, Rey-Chue Hwang, Kevin M. Passino, Shih‐Wei Lee and K. Srinivasan and has published in prestigious journals such as Information Sciences, Applied Soft Computing and IEEE Transactions on Control Systems Technology.

In The Last Decade

Co-authorship network of co-authors of Guan-Chun Luh i

Fields of papers citing papers by Guan-Chun Luh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan-Chun Luh. 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 Guan-Chun Luh. The network helps show where Guan-Chun Luh may publish in the future.

Countries citing papers authored by Guan-Chun Luh

Since Specialization
Citations

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