C.S.G. Lee

4.3k total citations · 1 hit paper
67 papers, 2.9k citations indexed

About

C.S.G. Lee is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, C.S.G. Lee has authored 67 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Control and Systems Engineering and 16 papers in Computer Networks and Communications. Recurrent topics in C.S.G. Lee's work include Neural Networks and Applications (11 papers), Robot Manipulation and Learning (10 papers) and Manufacturing Process and Optimization (10 papers). C.S.G. Lee is often cited by papers focused on Neural Networks and Applications (11 papers), Robot Manipulation and Learning (10 papers) and Manufacturing Process and Optimization (10 papers). C.S.G. Lee collaborates with scholars based in United States, Taiwan and Singapore. C.S.G. Lee's co-authors include Chin‐Teng Lin, Jeen-Shing Wang, John T. Feddema, Y. Charlie Hu, Yongguo Mei, O.R. Mitchell, Yung-Hsiang Lu, Yijiang Huang, Yung-Hsiang Lu and Shun‐Feng Su and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Computers and IEEE Transactions on Robotics and Automation.

In The Last Decade

C.S.G. Lee

65 papers receiving 2.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neural-network-based fuzzy logic control and decision system

1991 1.1k citations Chin‐Teng Lin, C.S.G. Lee profile →

Author Peers

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

Author						Papers	Cites
C.S.G. Lee	1.3k	1.1k	637	401	297	67	2.9k
John Schulman	1.6k 1.2×	1.1k 1.1×	1.2k 1.9×	303 0.8×	167 0.6×	20	3.2k
George K. I. Mann	631 0.5×	1.1k 1.1×	525 0.8×	324 0.8×	244 0.8×	164	2.9k
Sreenatha G. Anavatti	1.2k 1.0×	1.1k 1.1×	802 1.3×	317 0.8×	131 0.4×	198	3.1k
Tzuu‐Hseng S. Li	628 0.5×	1.4k 1.4×	585 0.9×	269 0.7×	247 0.8×	154	2.4k
Dimiter Driankov	1.8k 1.4×	1.9k 1.8×	315 0.5×	317 0.8×	306 1.0×	57	3.5k
Oscar Montiel	821 0.6×	670 0.6×	1.1k 1.7×	274 0.7×	167 0.6×	75	2.1k
Chenglin Wen	1.1k 0.9×	1.6k 1.5×	364 0.6×	439 1.1×	631 2.1×	245	3.2k
Yixin Yin	580 0.5×	842 0.8×	403 0.6×	386 1.0×	581 2.0×	194	2.3k
Igor Škrjanc	1.9k 1.5×	2.3k 2.2×	693 1.1×	244 0.6×	620 2.1×	237	4.6k
Roberto Sepúlveda	730 0.6×	629 0.6×	939 1.5×	239 0.6×	149 0.5×	57	1.8k

Countries citing papers authored by C.S.G. Lee

Since Specialization

Citations

This map shows the geographic impact of C.S.G. 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.S.G. 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.S.G. Lee more than expected).

Fields of papers citing papers by C.S.G. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Mei, Yongguo, Yung-Hsiang Lu, C.S.G. Lee, & Y. Charlie Hu. (2006). Energy-efficient mobile robot exploration. 505–511. 69 indexed citations

Lee, C.S.G., et al.. (2006). Whole-body human-to-humanoid motion transfer. 104–109. 32 indexed citations

Koo, Simon G. M., C.S.G. Lee, & Karthik Kannan. (2006). A resource-trading mechanism for efficient distribution of large-volume contents on peer-to-peer networks. 428–433. 5 indexed citations

Lee, C.S.G.. (2003). CORDIC-based architectures for robot direct kinematics and Jacobian computations. smc 11. 609–614. 1 indexed citations

Feddema, John T., C.S.G. Lee, & O.R. Mitchell. (2003). Automatic selection of image features for visual servoing of a robot manipulator. 832–837. 21 indexed citations

Lee, C.S.G. & Chin‐Teng Lin. (2003). Supervised and unsupervised learning with fuzzy similarity for neural-network-based fuzzy logic control systems. 688–693. 10 indexed citations

Feddema, John T. & C.S.G. Lee. (2002). Adaptive image feature prediction and control for visual tracking with a moving camera. 18. 20–24. 3 indexed citations

Lin, Chin‐Teng & C.S.G. Lee. (2002). Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems. 88–93. 12 indexed citations

Park, Sangwook & C.S.G. Lee. (2002). A global and local robot tracking and control strategy using multisensory inputs. 1686–1691. 4 indexed citations

10.

Huang, Yijiang & C.S.G. Lee. (2002). A framework of knowledge-based assembly planning. 599–604. 47 indexed citations

11.

Lee, C.S.G., et al.. (2002). Very fast visual tracking algorithm using scanlines. 3. 2651–2656. 1 indexed citations

12.

Hsu, Wynne & C.S.G. Lee. (1994). Fuzzy application in tolerance design. 1182–1186 vol.2. 5 indexed citations

13.

Lee, C.S.G., et al.. (1994). Generation of fuzzy numbers using maximum uncertainty possibility distributions. 1359–1364 vol.2. 2 indexed citations

14.

Feddema, John T., C.S.G. Lee, & O.R. Mitchell. (1991). Weighted selection of image features for resolved rate visual feedback control. IEEE Transactions on Robotics and Automation. 7(1). 31–47. 147 indexed citations

15.

Lin, Chin‐Teng & C.S.G. Lee. (1991). Fault-tolerant reconfigurable architecture for robot kinematics and dynamics computations. IEEE Transactions on Systems Man and Cybernetics. 21(5). 983–999. 9 indexed citations

16.

Lin, Chin‐Teng & C.S.G. Lee. (1991). A multivalued Boltzmann machine. 52. 2546–2552 vol.3.

17.

Feddema, John T. & C.S.G. Lee. (1990). Adaptive image feature prediction and control for visual tracking with a hand-eye coordinated camera. IEEE Transactions on Systems Man and Cybernetics. 20(5). 1172–1183. 110 indexed citations

18.

Lee, C.S.G., et al.. (1989). Efficient parallel algorithms and VLSI architectures for manipulator Jacobian computation. IEEE Transactions on Systems Man and Cybernetics. 19(5). 1154–1166. 7 indexed citations

19.

Lee, C.S.G., et al.. (1989). Residue arithmetic VLSI array architecture for manipulator pseudo-inverse Jacobian computation. IEEE Transactions on Robotics and Automation. 5(5). 569–582. 19 indexed citations

20.

Lee, C.S.G. & E.S.H. Hou. (1988). Automatic generation and synthesis of C-frames for mechanical parts in an insertion task. IEEE Journal on Robotics and Automation. 4(3). 287–293. 10 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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