C. Lee

901 total citations
11 papers, 669 citations indexed

About

C. Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, C. Lee has authored 11 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in C. Lee's work include Remote-Sensing Image Classification (3 papers), Neural Networks and Applications (3 papers) and Face and Expression Recognition (3 papers). C. Lee is often cited by papers focused on Remote-Sensing Image Classification (3 papers), Neural Networks and Applications (3 papers) and Face and Expression Recognition (3 papers). C. Lee collaborates with scholars based in United States, Taiwan and South Korea. C. Lee's co-authors include D. A. Landgrebe, Hyungsik Lim, Doraiswami Ramkrishna, Piyush Agrawal, James Bethel, P.-R. Chang, Hsien-I Lin, Jong‐Mi Lee, Youngil Koh and Myungshin Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

C. Lee

9 papers receiving 611 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
C. Lee United States	7	337	184	175	171	128	11	669
José Martínez Sotoca Spain	14	502 1.5×	343 1.9×	329 1.9×	289 1.7×	108 0.8×	38	975
Kadim Taşdemi̇r Türkiye	13	232 0.7×	263 1.4×	319 1.8×	71 0.4×	42 0.3×	42	673
Minchao Ye China	15	831 2.5×	515 2.8×	208 1.2×	396 2.3×	67 0.5×	67	1.2k
Swarnajyoti Patra India	15	541 1.6×	293 1.6×	237 1.4×	325 1.9×	92 0.7×	41	911
Neal R. Harvey United States	15	188 0.6×	249 1.4×	254 1.5×	59 0.3×	47 0.4×	57	660
Chunhui Zhao China	19	930 2.8×	351 1.9×	191 1.1×	451 2.6×	84 0.7×	92	1.2k
B.M. Shahshahani United States	4	224 0.7×	153 0.8×	234 1.3×	115 0.7×	63 0.5×	9	481
Fuding Xie China	14	140 0.4×	83 0.5×	144 0.8×	94 0.5×	26 0.2×	41	587
Mohammed Ouali Algeria	7	109 0.3×	77 0.4×	156 0.9×	63 0.4×	22 0.2×	25	379

Countries citing papers authored by C. Lee

Since Specialization

Citations

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

Fields of papers citing papers by C. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of C. Lee. A scholar is included among the top collaborators of C. 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 C. Lee. C. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Lee, C., et al.. (2024). Machine-learning-based predictive classifier for bone marrow failure syndrome using complete blood count data. iScience. 27(11). 111082–111082.

2.

Lin, Hsien-I & C. Lee. (2013). Measurement of the Robot Motor Capability of a Robot Motor System: A Fitts’s-Law-Inspired Approach. Sensors. 13(7). 8412–8430. 6 indexed citations

3.

Lee, C., et al.. (2005). Efficient parallel algorithms for robot forward dynamics computation. 4. 654–659.

4.

Lee, C. & D. A. Landgrebe. (2003). Decision boundary feature extraction for neural networks. 1053–1058. 1 indexed citations

5.

Lee, C. & James Bethel. (2001). Georegistration of airborne hyperspectral image data. IEEE Transactions on Geoscience and Remote Sensing. 39(7). 1347–1351. 34 indexed citations

6.

Lee, C. & D. A. Landgrebe. (1993). Decision boundary feature extraction for nonparametric classification. IEEE Transactions on Systems Man and Cybernetics. 23(2). 433–444. 34 indexed citations

7.

Lee, C. & D. A. Landgrebe. (1993). Analyzing high-dimensional multispectral data. IEEE Transactions on Geoscience and Remote Sensing. 31(4). 792–800. 145 indexed citations

8.

Lee, C. & D. A. Landgrebe. (1993). Feature extraction based on decision boundaries. IEEE Transactions on Pattern Analysis and Machine Intelligence. 15(4). 388–400. 283 indexed citations

9.

Lee, C. & D. A. Landgrebe. (1991). Fast likelihood classification. IEEE Transactions on Geoscience and Remote Sensing. 29(4). 509–517. 23 indexed citations

10.

Lee, C. & P.-R. Chang. (1986). Efficient parallel algorithm for robot inverse dynamics computation. ac 25. 851–857. 14 indexed citations

11.

Agrawal, Piyush, C. Lee, Hyungsik Lim, & Doraiswami Ramkrishna. (1982). Theoretical investigations of dynamic behavior of isothermal continuous stirred tank biological reactors. Chemical Engineering Science. 37(3). 453–462. 129 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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