Te‐Ming Tu

30 papers and 1.1k indexed citations i.

About

Te‐Ming Tu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Te‐Ming Tu has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 15 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Te‐Ming Tu’s work include Remote-Sensing Image Classification (16 papers), Advanced Image Fusion Techniques (12 papers) and Image Enhancement Techniques (8 papers). Te‐Ming Tu is often cited by papers focused on Remote-Sensing Image Classification (16 papers), Advanced Image Fusion Techniques (12 papers) and Image Enhancement Techniques (8 papers). Te‐Ming Tu collaborates with scholars based in Taiwan, United States and Yemen. Te‐Ming Tu's co-authors include Ping Huang, Hsuen-Chyun Shyu, Chien-Ping Chang, Chin‐Hsing Chen, Ping Huang, Ko-Chin Chang, Chein‐I Chang, Chein‐I Chang, Ching-Luh Hsu and Jen‐Chun Lee and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Transactions on Wireless Communications.

In The Last Decade

Co-authorship network of co-authors of Te‐Ming Tu i

Fields of papers citing papers by Te‐Ming Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Ming Tu. 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 Te‐Ming Tu. The network helps show where Te‐Ming Tu may publish in the future.

Countries citing papers authored by Te‐Ming Tu

Since Specialization
Citations

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