Chien-I Lee

About

Chien-I Lee is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chien-I Lee has authored 12 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chien-I Lee’s work include Caching and Content Delivery (4 papers), Algorithms and Data Compression (3 papers) and Innovative Teaching and Learning Methods (3 papers). Chien-I Lee is often cited by papers focused on Caching and Content Delivery (4 papers), Algorithms and Data Compression (3 papers) and Innovative Teaching and Learning Methods (3 papers). Chien-I Lee collaborates with scholars based in Taiwan and Cayman Islands. Chien-I Lee's co-authors include Wei‐Pang Yang, Cheng‐Jung Tsai, Kuo-Kuang Chu, Chih‐Kai Chang, Ye‐In Chang, Yen-Kuang Chen and Chia-Lin Yang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Chien-I Lee i

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Fields of papers citing papers by Chien-I Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-I Lee. 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 Chien-I Lee. The network helps show where Chien-I Lee may publish in the future.

Countries citing papers authored by Chien-I Lee

Since Specialization

Citations

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