Chien-I Lee
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Computer Science Applications top 10%
- Co-authors
- Wei‐Pang YangCheng‐Jung TsaiKuo-Kuang ChuChih‐Kai ChangYen-Kuang ChenChia-Lin YangYe‐In ChangYi-Chun Lin
- Topics
- Caching and Content Delivery (5 papers)Advanced Data Storage Technologies (4 papers)Data Mining Algorithms and Applications (4 papers)
- Journals
- Expert Systems with ApplicationsInformation SciencesIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- TaiwanCayman Islands
In The Last Decade
Chien-I Lee
19 papers receiving 278 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 177
- Information Systems 114
- Computational Theory and Mathematics 63
- Computer Vision and Pattern Recognition 39
- Computer Science Applications 33
Countries citing papers authored by Chien-I Lee
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).
Fields of papers citing papers by Chien-I Lee
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.
Co-authorship network of co-authors of Chien-I Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chien-I Lee. A scholar is included among the top collaborators of Chien-I Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chien-I Lee. Chien-I Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | A Study of Transfer of Learning Applying Ontology- Based Assistant Learning System. | 2 |
| 8 | 46 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 158 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | A hierarchical shrinking decision tree for imbalanced datasets | 1 |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | An Incremental Approach to Dynamic Hashing for Expansible Files. | 0 |
About Chien-I Lee
Chien-I Lee is a scholar working on Computer Science Applications, Computer Networks and Communications and Information Systems, having authored 23 papers that have together received 295 indexed citations. Recurring topics across this work include Caching and Content Delivery (5 papers), Advanced Data Storage Technologies (4 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Computer Science Applications (33 citations), Artificial Intelligence (177 citations) and Information Systems (114 citations). Chien-I Lee has collaborated with scholars based in Taiwan and Cayman Islands. Frequent co-authors include Wei‐Pang Yang, Cheng‐Jung Tsai, Kuo-Kuang Chu, Chih‐Kai Chang, Yen-Kuang Chen, Chia-Lin Yang, Ye‐In Chang, Yi-Chun Lin, Yu-Ming Chang and Huang‐Chi Chen. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.
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.