Faa‐Jeng Lin

10.7k total citations
294 papers, 8.7k citations indexed

About

Faa‐Jeng Lin is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Faa‐Jeng Lin has authored 294 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 230 papers in Control and Systems Engineering, 192 papers in Electrical and Electronic Engineering and 54 papers in Artificial Intelligence. Recurrent topics in Faa‐Jeng Lin's work include Sensorless Control of Electric Motors (137 papers), Iterative Learning Control Systems (107 papers) and Adaptive Control of Nonlinear Systems (79 papers). Faa‐Jeng Lin is often cited by papers focused on Sensorless Control of Electric Motors (137 papers), Iterative Learning Control Systems (107 papers) and Adaptive Control of Nonlinear Systems (79 papers). Faa‐Jeng Lin collaborates with scholars based in Taiwan, United States and China. Faa‐Jeng Lin's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

In The Last Decade

Faa‐Jeng Lin

289 papers receiving 8.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faa‐Jeng Lin Taiwan 51 6.5k 4.4k 1.6k 1.6k 552 294 8.7k
John Y. Hung United States 26 4.2k 0.7× 2.7k 0.6× 534 0.3× 803 0.5× 548 1.0× 145 6.0k
Mehrdad Saif Canada 45 5.3k 0.8× 2.0k 0.4× 1.1k 0.7× 1.0k 0.6× 322 0.6× 371 7.7k
H. Sira‐Ramírez Mexico 52 9.8k 1.5× 4.6k 1.1× 427 0.3× 1.4k 0.8× 747 1.4× 393 11.8k
Rong‐Jong Wai Taiwan 56 5.4k 0.8× 5.9k 1.4× 1.1k 0.7× 1.0k 0.6× 488 0.9× 237 9.4k
Juntao Fei China 40 4.0k 0.6× 2.2k 0.5× 712 0.4× 500 0.3× 615 1.1× 297 5.6k
Zhiqiang Gao United States 45 6.3k 1.0× 2.2k 0.5× 259 0.2× 1.5k 0.9× 665 1.2× 209 7.9k
Heidar Ali Talebi Iran 34 3.8k 0.6× 1.8k 0.4× 401 0.2× 962 0.6× 425 0.8× 327 5.2k
J. C. Hung United States 15 4.1k 0.6× 1.6k 0.4× 415 0.3× 1.0k 0.6× 496 0.9× 58 5.1k
R. Marino Italy 48 7.9k 1.2× 2.6k 0.6× 516 0.3× 970 0.6× 595 1.1× 209 9.3k
Mohammad Hassan Khooban Iran 54 5.9k 0.9× 5.7k 1.3× 825 0.5× 375 0.2× 198 0.4× 258 8.7k

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 of co-authors of Faa‐Jeng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Faa‐Jeng Lin. A scholar is included among the top collaborators of Faa‐Jeng Lin 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 Faa‐Jeng Lin. Faa‐Jeng Lin 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.
Lin, Faa‐Jeng, et al.. (2024). An Improved Droop-Controlled Microgrid Using Intelligent Variable Droop Coefficient Estimation. IEEE Journal of Emerging and Selected Topics in Power Electronics. 12(4). 4117–4132. 6 indexed citations
2.
Lin, Faa‐Jeng, et al.. (2023). Intelligent Nonsingular Terminal Sliding Mode Controlled Nonlinear Time-Varying System Using RPPFNN-AMF. IEEE Transactions on Fuzzy Systems. 32(3). 1036–1049. 10 indexed citations
3.
Chen, Shih‐Gang, et al.. (2022). Proximate Maximum Efficiency Control for Synchronous Reluctance Motor via AMRCT and MTPA Control. IEEE/ASME Transactions on Mechatronics. 28(3). 1404–1414. 6 indexed citations
4.
Lin, Faa‐Jeng, et al.. (2021). An Online Parameter Estimation Using Current Injection with Intelligent Current-Loop Control for IPMSM Drives. Energies. 14(23). 8138–8138. 5 indexed citations
5.
Lin, Faa‐Jeng, et al.. (2017). Novel Control Method for Multimodule PV Microinverter With Multiple Functions. IEEE Transactions on Power Electronics. 33(7). 5869–5879. 7 indexed citations
6.
7.
Lin, Faa‐Jeng, et al.. (2016). Probabilistic Wavelet Fuzzy Neural Network based reactive power control for grid-connected three-phase PV system during grid faults. Renewable Energy. 92. 437–449. 39 indexed citations
8.
Lin, Faa‐Jeng, et al.. (2016). Control method for improving the response of single‐phase continuous conduction mode boost power factor correction converter. IET Power Electronics. 9(9). 1792–1800. 25 indexed citations
9.
Huang, Ming‐Shi, et al.. (2016). A novel small signal modeling of series resonant converter based on peak value of resonant current. 28. 240–244. 3 indexed citations
10.
Lin, Faa‐Jeng, et al.. (2014). Intelligent Integral Backstepping Sliding‐mode Control Using Recurrent Neural Network For Piezo‐flexural Nanopositioning Stage. Asian Journal of Control. 18(2). 456–472. 24 indexed citations
11.
Lin, Faa‐Jeng, et al.. (2012). Active islanding detection method using wavelet fuzzy neural network. Zenodo (CERN European Organization for Nuclear Research). 1–8. 15 indexed citations
12.
Lin, Faa‐Jeng, S.‐Y. Chen, & Ming‐Shi Huang. (2010). Tracking control of thrust active magnetic bearing system via Hermite polynomial-based recurrent neural network. IET Electric Power Applications. 4(9). 701–714. 33 indexed citations
13.
Hung, Ying‐Chih & Faa‐Jeng Lin. (2009). FPGA-Based Recurrent Wavelet Neural Network Control System for Linear Ultrasonic Motor. 1290–1295. 1 indexed citations
14.
Lin, Faa‐Jeng & Ying‐Chih Hung. (2008). An Elman neural network control system for linear piezoelectric ceramic motor using FPGA. Australasian Universities Power Engineering Conference. 1–6. 1 indexed citations
15.
Lin, Faa‐Jeng, et al.. (2004). A DSP-based Permanent Magnet Linear Synchronous Motor Servo Drive Using Adaptive Fuzzy-Neural Network Control. 601–606. 4 indexed citations
16.
Lin, Faa‐Jeng & Rong‐Jong Wai. (2001). Hybrid control using recurrent fuzzy neural network for linear induction motor servo drive. IEEE Transactions on Fuzzy Systems. 9(1). 102–115. 80 indexed citations
17.
Lin, Faa‐Jeng, et al.. (2000). Robust control of linear synchronousmotor servodrive usingdisturbance observer and recurrent neural network compensator. IEE Proceedings - Electric Power Applications. 147(4). 263–272. 50 indexed citations
18.
Fung, Rong‐Fong, et al.. (1997). Application of Sliding Mode Control with a Low Pass Filter to the Constantly Rotating Slider-Crank Mechanisms.. JSME International Journal Series C. 40(4). 717–722. 8 indexed citations
19.
Fung, Rong‐Fong, et al.. (1996). Dynamic Response of Slider-Crank Mechanism Driven by a DC Motor. 24(1). 23–30. 1 indexed citations
20.
Lin, Faa‐Jeng. (1996). A digital signal processor based robust integral-proportional controller for an induction motor servo drive. Electric Power Systems Research. 37(2). 129–136. 4 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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