Jeng-Dao Lee

1.0k citations
47 papers · 846 indexed · h-index 14
Topics
Magnetic Bearings and Levitation Dynamics (16 papers)Adaptive Control of Nonlinear Systems (14 papers)Iterative Learning Control Systems (8 papers)
Partner nations
TaiwanAustraliaArgentina

In The Last Decade

Jeng-Dao Lee

39 papers receiving 807 citations

Peers

Jeng-Dao Lee
Comparison fields: 5 of 60
  • Control and Systems Engineering 692
  • Electrical and Electronic Engineering 255
  • Mechanical Engineering 159
  • Artificial Intelligence 125
  • Aerospace Engineering 110
Replace Haibo Zhou with:
Haibo Zhou China
Jinquan Xu China
Dragan Antić Serbia
P. Sinha United States
Da‐Wei Gu United Kingdom
Zhiqiang Gao United States
Shunshoku Kanae Japan
Huann‐Keng Chiang Taiwan
Oded Yaniv Israel
Ikuro Mizumoto Japan
Jeng-Dao Lee relative to Haibo Zhou China Haibo Zhou's profile →
Citations per field
00.5×1.5×2.3×
Haibo Zhou · 1×
Citations per year

Countries citing papers authored by Jeng-Dao Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jeng-Dao Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeng-Dao Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jeng-Dao Lee. A scholar is included among the top collaborators of Jeng-Dao 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 Jeng-Dao Lee. Jeng-Dao 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 1
6 2
7 5
8 3
9 19
10 1
11 0
12 1
13 43
14 76
15 33
16 2
17 2
18 1
19
Supervisory genetic evolution control for induction machine using fuzzy design technique
2
20 38

About Jeng-Dao Lee

Jeng-Dao Lee is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 47 papers that have together received 846 indexed citations. Recurring topics across this work include Magnetic Bearings and Levitation Dynamics (16 papers), Adaptive Control of Nonlinear Systems (14 papers) and Iterative Learning Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (692 citations), Physiology (28 citations) and Aerospace Engineering (110 citations). Jeng-Dao Lee has collaborated with scholars based in Taiwan, Australia and Argentina. Frequent co-authors include Rong‐Jong Wai, Rou-Yong Duan, Zhibin Wang, Suiyang Khoo, Faa‐Jeng Lin, Li‐Yin Chen, Junyi Yang, Yu-Hsiang Wu, Hung‐Yu Hsu and Wen‐Yuh Jywe. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

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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