Yu-Chin Juan

About

Yu-Chin Juan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yu-Chin Juan has authored 3 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yu-Chin Juan’s work include Recommender Systems and Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Graph Theory and Algorithms (1 paper). Yu-Chin Juan is often cited by papers focused on Recommender Systems and Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Graph Theory and Algorithms (1 paper). Yu-Chin Juan collaborates with scholars based in Taiwan and United States. Yu-Chin Juan's co-authors include Yong Zhuang, Chih‐Jen Lin, Wei-Sheng Chin and Olivier Chapelle and has published in prestigious journals such as Journal of Machine Learning Research, ACM Transactions on Intelligent Systems and Technology and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Yu-Chin Juan i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Yu-Chin Juan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu-Chin Juan

Since Specialization

Citations

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

Explore authors with similar magnitude of impact