Tien-Ju Yang

13 papers and 2.7k indexed citations i.

About

Tien-Ju Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Tien-Ju Yang has authored 13 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Tien-Ju Yang’s work include Advanced Neural Network Applications (8 papers), Advanced Memory and Neural Computing (5 papers) and Speech Recognition and Synthesis (3 papers). Tien-Ju Yang is often cited by papers focused on Advanced Neural Network Applications (8 papers), Advanced Memory and Neural Computing (5 papers) and Speech Recognition and Synthesis (3 papers). Tien-Ju Yang collaborates with scholars based in United States and Taiwan. Tien-Ju Yang's co-authors include Vivienne Sze, Joel Emer, Yu‐Hsin Chen, Fangchang Ma, Diana Wofk, Sertaç Karaman, Liang-Chieh Chen, Jianbo Shi, Jyh-Jing Hwang and Stella X. Yu and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal on Emerging and Selected Topics in Circuits and Systems and IEEE Solid-State Circuits Magazine.

In The Last Decade

Co-authorship network of co-authors of Tien-Ju Yang i

Fields of papers citing papers by Tien-Ju Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tien-Ju Yang. 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 Tien-Ju Yang. The network helps show where Tien-Ju Yang may publish in the future.

Countries citing papers authored by Tien-Ju Yang

Since Specialization
Citations

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