Faa‐Jeng Lin

10.7k citations
294 papers · 8.7k indexed · h-index 51

Faa‐Jeng Lin

289 papers receiving 8.3k citations

Peers

Faa‐Jeng Lin
Comparison fields: 5 of 110
  • Control and Systems Engineering 6.5k
  • Electrical and Electronic Engineering 4.4k
  • Energy Engineering and Power Technology 190
  • Artificial Intelligence 1.6k
  • Mechanical Engineering 1.6k
Replace John Y. Hung with:
John Y. Hung United States
H. Sira‐Ramírez Mexico
Rong‐Jong Wai Taiwan
Mehrdad Saif Canada
Juntao Fei China
Zhiqiang Gao United States
Heidar Ali Talebi Iran
Chaoxu Mu China
J. C. Hung United States
Zhihua Qu United States
Faa‐Jeng Lin relative to John Y. Hung United States John Y. Hung's profile →
Citations per field
00.5×
John Y. Hung · 1×
Citations per year

Countries citing papers authored by Faa‐Jeng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Faa‐Jeng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faa‐Jeng Lin. 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 Faa‐Jeng Lin. The network helps show where Faa‐Jeng Lin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Faa‐Jeng Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Faa‐Jeng Lin Line = papers co-authored together Faa‐Jeng Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20239
3 20215
4 202125
5 20177
6 201222
7 200937
8 200989
9
An Elman neural network control system for linear piezoelectric ceramic motor using FPGA
20081
10 200813
11 200697
12 200661
13 200625
14
A DSP-based Permanent Magnet Linear Synchronous Motor Servo Drive Using Adaptive Fuzzy-Neural Network Control
20044
15 20048
16 200050
17 199922
18 199737
19 19961
20 199313

About Faa‐Jeng Lin

Faa‐Jeng Lin is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Artificial Intelligence and Mechanical Engineering, having authored 294 papers that have together received 8.7k indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (137 papers), Iterative Learning Control Systems (107 papers), Adaptive Control of Nonlinear Systems (79 papers), Multilevel Inverters and Converters (40 papers), Fuzzy Logic and Control Systems (40 papers), Microgrid Control and Optimization (39 papers), Piezoelectric Actuators and Control (39 papers) and Electric Motor Design and Analysis (37 papers). The work is most often cited by research in Control and Systems Engineering (6.5k citations), Electrical and Electronic Engineering (4.4k citations), Energy Engineering and Power Technology (190 citations), Artificial Intelligence (1.6k citations) and Mechanical Engineering (1.6k citations). Faa‐Jeng Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Rong‐Jong Wai, Po‐Huan Chou, Ying‐Chih Hung, Syuan‐Yi Chen, Po-Kai Huang, P.-H. Shen, Chih‐Hong Lin, Po-Huang Shieh, Kuo‐Kai Shyu and Li-Tao Teng. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics, IEEE Transactions on Fuzzy Systems, IET Electric Power Applications and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

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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