Chih‐Hong Lin

1.4k total citations
88 papers, 1.0k citations indexed

About

Chih‐Hong Lin is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Chih‐Hong Lin has authored 88 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Electrical and Electronic Engineering, 70 papers in Control and Systems Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Chih‐Hong Lin's work include Sensorless Control of Electric Motors (63 papers), Adaptive Control of Nonlinear Systems (32 papers) and Iterative Learning Control Systems (29 papers). Chih‐Hong Lin is often cited by papers focused on Sensorless Control of Electric Motors (63 papers), Adaptive Control of Nonlinear Systems (32 papers) and Iterative Learning Control Systems (29 papers). Chih‐Hong Lin collaborates with scholars based in Taiwan, China and Japan. Chih‐Hong Lin's co-authors include Faa‐Jeng Lin, Po-Hung Shen, Chang-Chou Hwang, Rong‐Jong Wai, Jenn-Jiang Hwang, Kuo‐Kai Shyu, Shusheng Zhang, S.J. Chiang, Yiling Liu and P.-H. Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and International Journal of Hydrogen Energy.

In The Last Decade

Chih‐Hong Lin

84 papers receiving 946 citations

Author Peers

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

Author Last Decade Papers Cites
Chih‐Hong Lin 687 512 302 126 60 88 1.0k
Engin Yeşil 860 1.3× 442 0.9× 638 2.1× 94 0.7× 50 0.8× 62 1.3k
Shixi Hou 709 1.0× 478 0.9× 152 0.5× 81 0.6× 46 0.8× 49 1.0k
Rajani K. Mudi 848 1.2× 306 0.6× 405 1.3× 131 1.0× 42 0.7× 63 1.1k
Sridhar Seshagiri 997 1.5× 360 0.7× 133 0.4× 102 0.8× 83 1.4× 42 1.3k
Müjde Güzelkaya 1.0k 1.5× 285 0.6× 509 1.7× 130 1.0× 43 0.7× 88 1.3k
Imen Bahri 448 0.7× 621 1.2× 118 0.4× 107 0.8× 75 1.3× 42 924
Congzhi Huang 636 0.9× 501 1.0× 134 0.4× 101 0.8× 33 0.6× 71 1.0k
Afzal Sikander 707 1.0× 299 0.6× 161 0.5× 167 1.3× 37 0.6× 62 1.1k
Khalid Mehmood Cheema 583 0.8× 586 1.1× 191 0.6× 48 0.4× 58 1.0× 55 964
Mohammad Reza Soltanpour 744 1.1× 181 0.4× 123 0.4× 190 1.5× 79 1.3× 43 919

Countries citing papers authored by Chih‐Hong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Hong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chih‐Hong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Hong Lin. A scholar is included among the top collaborators of Chih‐Hong 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 Chih‐Hong Lin. Chih‐Hong 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.
2.
Lin, Chih‐Hong, et al.. (2019). SynRM Driving CVT System Using an ARGOPNN with MPSO Control System. Journal of Power Electronics. 19(3). 771–783. 1 indexed citations
3.
Lin, Chih‐Hong. (2019). Backstepping control and revamped recurrent fuzzy neural network with mended ant colony optimization applied in SCRIM drive system. Journal of Intelligent & Fuzzy Systems. 36(4). 3447–3459. 3 indexed citations
4.
Lin, Chih‐Hong, et al.. (2019). Smart backstepping control using revised recurrent fuzzy neural network and revised ant colony optimization for linear permanent magnet synchronous motor drive system. Transactions of the Institute of Measurement and Control. 42(7). 1388–1405. 2 indexed citations
5.
Lin, Chih‐Hong, et al.. (2019). Micrometer Backstepping Control System for Linear Motion Single Axis Robot Machine Drive. Sensors. 19(16). 3616–3616.
6.
Lin, Chih‐Hong, et al.. (2019). Electromagnetic torque control for synchronous reluctance motor servo-drive system applied in continuously variable transmission system. International Journal of Applied Electromagnetics and Mechanics. 62(2). 355–382. 1 indexed citations
7.
8.
Lin, Chih‐Hong. (2015). Permanent magnet synchronous motor controlled V-belt continuously variable transmission driven electric scooter using hybrid modified recurrent Legendre NN control system. International Journal of Applied Electromagnetics and Mechanics. 47(1). 211–235. 1 indexed citations
9.
Lin, Chih‐Hong. (2014). Dynamic control for permanent magnet synchronous generator system using novel modified recurrent wavelet neural network. Nonlinear Dynamics. 77(4). 1261–1284. 17 indexed citations
10.
Lin, Chih‐Hong. (2014). Novel adaptive modified recurrent Legendre neural network control for a PMSM servo-driven electric scooter with V-belt continuously variable transmission system dynamics. Transactions of the Institute of Measurement and Control. 37(10). 1181–1196. 7 indexed citations
11.
Lin, Chih‐Hong, et al.. (2013). The hybrid RFNN control for a PMSM drive electric scooter using rotor flux estimator. International Journal of Electrical Power & Energy Systems. 51. 213–223. 15 indexed citations
12.
Lin, Chih‐Hong. (2013). Recurrent modified Elman neural network control of permanent magnet synchronous generator system based on wind turbine emulator. Journal of Renewable and Sustainable Energy. 5(5). 7 indexed citations
13.
Lin, Chih‐Hong, et al.. (2012). Integral Backstepping Control for a PMSM Drive Using Adaptive RNN Uncertainty Observer. 22. 777–780. 2 indexed citations
14.
Lin, Chih‐Hong, et al.. (2012). Integral backstepping control for a PMSM drive using adaptive FNN uncertainty observer. 668–673. 4 indexed citations
15.
Lin, Chih‐Hong, et al.. (2012). Adaptive Recurrent Network Network Uncertainty Observer Based Integral Backstepping Control for a PMSM Drive System. International Journal of Power Electronics and Drive Systems (IJPEDS). 2(2). 2 indexed citations
16.
Lin, Chih‐Hong, et al.. (2011). Integral Backstepping Control for a PMLSM Using Adaptive RNNUO. SHILAP Revista de lepidopterología. 5 indexed citations
17.
Lin, Chih‐Hong, et al.. (2011). The fuzzy neural network control with adaptive algorithm for a PM synchronous motor drive. 7. 2518–2523. 2 indexed citations
18.
Chiang, S.J. & Chih‐Hong Lin. (2006). Adaptive backstepping RFNN control for synchronous reluctance motor drive. 1–6. 1 indexed citations
19.
Lin, Chih‐Hong, et al.. (2004). Adaptive RFNN control for synchronous reluctance motor drive. 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551). 3272–3277 Vol.5. 2 indexed citations
20.
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

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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