Chien-Pang Lee

531 total citations
27 papers, 376 citations indexed

About

Chien-Pang Lee is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Chien-Pang Lee has authored 27 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Chien-Pang Lee's work include Gene expression and cancer classification (6 papers), Stock Market Forecasting Methods (4 papers) and Bioinformatics and Genomic Networks (3 papers). Chien-Pang Lee is often cited by papers focused on Gene expression and cancer classification (6 papers), Stock Market Forecasting Methods (4 papers) and Bioinformatics and Genomic Networks (3 papers). Chien-Pang Lee collaborates with scholars based in Taiwan and South Korea. Chien-Pang Lee's co-authors include Yungho Leu, Wen-Shin Lin, Yuh‐Min Chen, Che-Chun Su, Weining Yang, Che-Chun Su, Ie‐Bin Lian, C. C. Yang, Terence Wu and Cheng‐Jung Tsai and has published in prestigious journals such as The Science of The Total Environment, Journal of Allergy and Clinical Immunology and Expert Systems with Applications.

In The Last Decade

Chien-Pang Lee

24 papers receiving 352 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chien-Pang Lee 164 135 65 53 40 27 376
Meijing Li 110 0.7× 76 0.6× 24 0.4× 13 0.2× 13 0.3× 26 287
Vahid Partovi Nia 71 0.4× 94 0.7× 39 0.6× 66 1.2× 16 0.4× 38 347
Borja Seijo-Pardo 83 0.5× 239 1.8× 21 0.3× 113 2.1× 8 0.2× 7 357
Xiaohai Sun 30 0.2× 207 1.5× 21 0.3× 44 0.8× 64 1.6× 9 387
Yuzhong Peng 67 0.4× 138 1.0× 11 0.2× 35 0.7× 9 0.2× 30 457
Xinxing Yang 74 0.5× 281 2.1× 14 0.2× 50 0.9× 4 0.1× 17 436
Ali Zeeshan Ijaz 51 0.3× 98 0.7× 33 0.5× 56 1.1× 2 0.1× 31 380
Wenya Guo 113 0.7× 181 1.3× 13 0.2× 118 2.2× 4 0.1× 16 434
Hui Xiong 48 0.3× 32 0.2× 48 0.7× 14 0.3× 158 4.0× 37 395

Countries citing papers authored by Chien-Pang Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lee, Chien-Pang, Cheng–I Wei, & Tzong‐Ru Lee. (2024). Developing agricultural literacy through USR and blockchain. International Journal of Knowledge and Learning. 18(1). 17–31. 1 indexed citations
3.
Leu, Yungho, et al.. (2022). A Strategy of Assessing Climate Factors’ Influence for Agriculture Output. KSII Transactions on Internet and Information Systems. 16(5).
4.
Lee, Chien-Pang, et al.. (2021). Increased prevalence of Parkinson's disease in soils with high arsenic levels. Parkinsonism & Related Disorders. 88. 19–23. 14 indexed citations
5.
Lee, Chien-Pang, et al.. (2018). Increased prevalence of Sjogren's syndrome in where soils contain high levels of chromium. The Science of The Total Environment. 657. 1121–1126. 13 indexed citations
6.
Lee, Chien-Pang, et al.. (2018). Using hybrid support vector regression to predict agricultural output. 21. 1–3. 7 indexed citations
7.
Lee, Chien-Pang, et al.. (2018). Evaluating KNN-skyline queries in dynamic road networks. 21. 1–2. 4 indexed citations
8.
Yang, Fenghua, et al.. (2017). The strategy of investment in the stock market using modified support vector regression model. Scientia Iranica. 0(0). 0–0. 7 indexed citations
9.
Lee, Chien-Pang, et al.. (2016). Increased Prevalence of Esophageal Cancer in Areas with High Levels of Nickel in Farm Soils. Journal of Cancer. 7(12). 1724–1730. 17 indexed citations
10.
Lin, Wen-Shin, et al.. (2015). Using Orthogonal Signal Correction to Correct the Near Infrared Reflectance Spectroscopy for Determination of Protein Content in Brown Rice. 12(1). 42–56. 2 indexed citations
11.
Yang, C. C., et al.. (2015). Two stages weighted sampling strategy for detecting the relation between gene expression and disease. International Journal of Data Mining and Bioinformatics. 12(2). 207–207. 1 indexed citations
12.
Lee, Chien-Pang, et al.. (2014). A STRATEGY FOR FORECASTING OPTION PRICES USING FUZZY TIME SERIES AND LEAST SQUARE SUPPORT VECTOR REGRESSION WITH A BOOTSTRAP MODEL. Scientia Iranica. 21(3). 815–825. 4 indexed citations
13.
Yang, C. C., Yungho Leu, & Chien-Pang Lee. (2014). A Dynamic Weighted Distancedbased Fuzzy Time Series Neural Network with Bootstrap Model for Option Price Forecasting. Romanian Journal of Economic Forecasting. 115(129). 115–129. 3 indexed citations
14.
Lee, Chien-Pang, et al.. (2013). The strategy to simulate the cross-pollination rate for the co-existence of genetically modified (GM) and non-GM crops by using FPSOSVR. Chemometrics and Intelligent Laboratory Systems. 122. 50–57. 3 indexed citations
15.
Lin, Wen-Shin & Chien-Pang Lee. (2012). A novel distance-based k-nearest neighbor voting classifier. Journal of Computers. 23(34). 26–34. 2 indexed citations
16.
Lee, Chien-Pang, Yungho Leu, & Weining Yang. (2011). Constructing gene regulatory networks from microarray data using GA/PSO with DTW. Applied Soft Computing. 12(3). 1115–1124. 23 indexed citations
17.
Lee, Chien-Pang & Yungho Leu. (2009). A novel hybrid feature selection method for microarray data analysis. Applied Soft Computing. 11(1). 208–213. 128 indexed citations
18.
Shin, Hye‐Young, Bohyun Park, Sangmin Lee, et al.. (2007). Association analysis of G72/G30 polymorphisms with schizophrenia in the Korean population. Schizophrenia Research. 96(1-3). 119–124. 13 indexed citations
19.
Lee, Chien-Pang, et al.. (2007). An approach to mining the multi-relational imbalanced database. Expert Systems with Applications. 34(4). 3021–3032. 11 indexed citations
20.
Chung, Tze‐Wen, et al.. (1995). F187. The interactions of hemosome with plasma-released hemoglobin and phospholipid choline at static and different shear rates. Biorheology. 32(2-3). 327–328. 1 indexed citations

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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