Chien-Pang Lee
- Molecular Biology
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Economics and Econometrics
- Co-authors
- Yungho LeuWen-Shin LinYuh‐Min ChenChe-Chun SuWeining YangIe‐Bin LianCheng‐Jung TsaiTerence Wu
- Topics
- Gene expression and cancer classification (6 papers)Stock Market Forecasting Methods (4 papers)Bioinformatics and Genomic Networks (3 papers)
- Journals
- The Science of The Total EnvironmentJournal of Allergy and Clinical ImmunologyExpert Systems with Applications
- Partner nations
- TaiwanSouth Korea
In The Last Decade
Chien-Pang Lee
24 papers receiving 352 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 164
- Artificial Intelligence 135
- Management Science and Operations Research 65
- Computer Vision and Pattern Recognition 53
- Economics and Econometrics 40
Countries citing papers authored by Chien-Pang Lee
This map shows the geographic impact of Chien-Pang 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-Pang 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-Pang Lee more than expected).
Fields of papers citing papers by Chien-Pang Lee
This network shows the impact of papers produced by Chien-Pang 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-Pang Lee. The network helps show where Chien-Pang Lee may publish in the future.
Co-authorship network of co-authors of Chien-Pang Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Pang Lee. A scholar is included among the top collaborators of Chien-Pang 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-Pang Lee. Chien-Pang 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | Using Orthogonal Signal Correction to Correct the Near Infrared Reflectance Spectroscopy for Determination of Protein Content in Brown Rice | 2 |
| 11 | 1 | |
| 12 | A STRATEGY FOR FORECASTING OPTION PRICES USING FUZZY TIME SERIES AND LEAST SQUARE SUPPORT VECTOR REGRESSION WITH A BOOTSTRAP MODEL | 4 |
| 13 | A Dynamic Weighted Distancedbased Fuzzy Time Series Neural Network with Bootstrap Model for Option Price Forecasting | 3 |
| 14 | 3 | |
| 15 | A novel distance-based k-nearest neighbor voting classifier | 2 |
| 16 | 128 | |
| 17 | 62 | |
| 18 | 13 | |
| 19 | 11 | |
| 20 | 1 |
About Chien-Pang Lee
Chien-Pang Lee is a scholar working on Periodontics, Management Science and Operations Research and Signal Processing, having authored 27 papers that have together received 376 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Stock Market Forecasting Methods (4 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Management Science and Operations Research (65 citations), Artificial Intelligence (135 citations) and Signal Processing (31 citations). Chien-Pang Lee has collaborated with scholars based in Taiwan and South Korea. Frequent co-authors include Yungho Leu, Wen-Shin Lin, Yuh‐Min Chen, Che-Chun Su, Weining Yang, Che-Chun Su, Ie‐Bin Lian, Cheng‐Jung Tsai, Terence Wu and C. C. Yang. Their work appears in journals such as The Science of The Total Environment, Journal of Allergy and Clinical Immunology and Expert Systems with Applications.
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.