Kuang-Yu Chang

About

Kuang-Yu Chang is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Kuang-Yu Chang has authored 13 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Atomic and Molecular Physics, and Optics and 2 papers in Artificial Intelligence. Recurrent topics in Kuang-Yu Chang’s work include Face and Expression Recognition (3 papers), Methane Hydrates and Related Phenomena (2 papers) and Laser-Matter Interactions and Applications (2 papers). Kuang-Yu Chang is often cited by papers focused on Face and Expression Recognition (3 papers), Methane Hydrates and Related Phenomena (2 papers) and Laser-Matter Interactions and Applications (2 papers). Kuang-Yu Chang collaborates with scholars based in Taiwan, United States and Japan. Kuang-Yu Chang's co-authors include Chu‐Song Chen, Bor‐Chen Kuo, Chao Wu, Hok‐Sum Fung, D. L. Judge, Huei‐Fang Yang, Su‐Yu Chiang, Yanping Chen, Yi‐Ping Hung and Pei-Chi Huang and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Kuang-Yu Chang i

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Fields of papers citing papers by Kuang-Yu Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuang-Yu Chang. 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 Kuang-Yu Chang. The network helps show where Kuang-Yu Chang may publish in the future.

Countries citing papers authored by Kuang-Yu Chang

Since Specialization

Citations

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