Ray-Shine Run

About

Ray-Shine Run is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ray-Shine Run has authored 20 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Ray-Shine Run’s work include Advanced Steganography and Watermarking Techniques (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Particle Detector Development and Performance (3 papers). Ray-Shine Run is often cited by papers focused on Advanced Steganography and Watermarking Techniques (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Particle Detector Development and Performance (3 papers). Ray-Shine Run collaborates with scholars based in Taiwan, United States and Saudi Arabia. Ray-Shine Run's co-authors include Shi–Jinn Horng, Rong‐Jian Chen, Jui‐Lin Lai, Y-H. Chen, Tzong‐Wann Kao, Muhammad Khurram Khan, I‐Hong Kuo, Pingzhi Fan, Tsung‐Lieh Lin and Mingxing He and has published in prestigious journals such as The Astrophysical Journal, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Ray-Shine Run i

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Fields of papers citing papers by Ray-Shine Run

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray-Shine Run. 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 Ray-Shine Run. The network helps show where Ray-Shine Run may publish in the future.

Countries citing papers authored by Ray-Shine Run

Since Specialization

Citations

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