Po‐Huan Chou

1.2k total citations
43 papers, 955 citations indexed

About

Po‐Huan Chou is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Po‐Huan Chou has authored 43 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 21 papers in Electrical and Electronic Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Po‐Huan Chou's work include Iterative Learning Control Systems (20 papers), Adaptive Control of Nonlinear Systems (13 papers) and Sensorless Control of Electric Motors (12 papers). Po‐Huan Chou is often cited by papers focused on Iterative Learning Control Systems (20 papers), Adaptive Control of Nonlinear Systems (13 papers) and Sensorless Control of Electric Motors (12 papers). Po‐Huan Chou collaborates with scholars based in Taiwan and United States. Po‐Huan Chou's co-authors include Faa‐Jeng Lin, Yu‐Sheng Lin, Chin‐Sheng Chen, Po-Huang Shieh, Yu‐Liang Hsu, Ying‐Chih Hung, Shih-Chin Yang, Jonq‐Chin Hwang, Syuan‐Yi Chen and Ying‐Shieh Kung and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Po‐Huan Chou

38 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Po‐Huan Chou Taiwan 16 641 331 231 193 102 43 955
Mohammad Reza Soltanpour Iran 20 744 1.2× 181 0.5× 190 0.8× 123 0.6× 59 0.6× 43 919
Min Wu China 14 899 1.4× 207 0.6× 182 0.8× 89 0.5× 146 1.4× 67 1.2k
Haibo Zhou China 15 334 0.5× 220 0.7× 210 0.9× 193 1.0× 89 0.9× 70 803
Gwi-Tae Park South Korea 13 532 0.8× 305 0.9× 86 0.4× 229 1.2× 89 0.9× 99 895
Saeed Khorashadizadeh Iran 21 654 1.0× 127 0.4× 141 0.6× 177 0.9× 201 2.0× 50 1.0k
Liang Hua China 16 420 0.7× 263 0.8× 136 0.6× 144 0.7× 45 0.4× 124 904
Soheil Ganjefar Iran 20 763 1.2× 656 2.0× 218 0.9× 178 0.9× 43 0.4× 81 1.2k
Kang‐Zhi Liu Japan 21 1.1k 1.6× 505 1.5× 392 1.7× 105 0.5× 143 1.4× 198 1.7k
R. Garrido Mexico 20 1.1k 1.7× 245 0.7× 330 1.4× 156 0.8× 174 1.7× 129 1.6k
Chih‐Hong Lin Taiwan 16 687 1.1× 512 1.5× 126 0.5× 302 1.6× 51 0.5× 88 1.0k

Countries citing papers authored by Po‐Huan Chou

Since Specialization
Citations

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

Fields of papers citing papers by Po‐Huan Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po‐Huan Chou. 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 Po‐Huan Chou. The network helps show where Po‐Huan Chou may publish in the future.

Co-authorship network of co-authors of Po‐Huan Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Po‐Huan Chou. A scholar is included among the top collaborators of Po‐Huan Chou 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 Po‐Huan Chou. Po‐Huan Chou 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.
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3.
Chou, Po‐Huan, et al.. (2023). Torque Measurement and Control for Electric-Assisted Bike Considering Different External Load Conditions. Sensors. 23(10). 4657–4657. 6 indexed citations
4.
Chou, Po‐Huan, et al.. (2022). High-Resolution Permanent Magnet Drive Using Separated Observers for Acceleration Estimation and Control. Sensors. 22(3). 725–725. 2 indexed citations
5.
Chou, Po‐Huan, et al.. (2020). Permanent Magnet Motor Design for Satellite Attitude Control With High Torque Density and Low Torque Ripple. IEEE Access. 8. 48587–48598. 4 indexed citations
6.
Yang, Shih-Chin, et al.. (2019). Digital Implementation Issues on High Speed Permanent Magnet Machine FOC Drive Under Insufficient Sample Frequency. IEEE Access. 7. 61484–61493. 13 indexed citations
7.
Hsu, Yu‐Liang, Po‐Huan Chou, Hsing-Cheng Chang, et al.. (2017). Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology. Sensors. 17(7). 1631–1631. 75 indexed citations
8.
Yang, Shih-Chin, et al.. (2017). Online Open-Phase Fault Detection for Permanent Magnet Machines With Low Fault Harmonic Magnitudes. IEEE Transactions on Industrial Electronics. 65(5). 4039–4050. 31 indexed citations
9.
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
10.
Lin, Faa‐Jeng, et al.. (2012). Intelligent nonsingular terminal sliding-mode control using MIMO elman neural network for piezo-flexural nanopositioning stage. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 59(12). 2716–2730. 22 indexed citations
11.
Chen, Chin‐Sheng, Po‐Huan Chou, & Faa‐Jeng Lin. (2011). DSP-based cross-coupled synchronous control for dual linear motors via functional link radial basis function network. 872–878. 1 indexed citations
12.
Chen, Chin‐Sheng, et al.. (2011). T-S fuzzy tracking and synchronous control in a gantry stage. 1844–1851. 2 indexed citations
13.
Lin, Faa‐Jeng, Po‐Huan Chou, & Chin‐Sheng Chen. (2011). DSP-based synchronous control of dual linear motors via sugeno type fuzzy neural network compensator. 1–6. 1 indexed citations
14.
Lin, Faa‐Jeng, et al.. (2011). Digital signal processor-based cross-coupled synchronous control of dual linear motors via functional link radial basis function network. IET Control Theory and Applications. 5(4). 552–564. 30 indexed citations
15.
Lin, Faa‐Jeng, et al.. (2010). Field-programmable gate array-based functional link radial basis function network control for permanent magnet linear synchronous motor servo drive system. IET Electric Power Applications. 4(5). 357–372. 13 indexed citations
16.
Lin, Faa‐Jeng & Po‐Huan Chou. (2010). FPGA Based Functional Link Radial Basis Function Network Control for PMLSM Servo Drive System. 1377–1382. 1 indexed citations
17.
Lin, Faa‐Jeng, Hsin‐Jang Shieh, & Po‐Huan Chou. (2009). Tracking control of a two-axis motion system via a filtering-type sliding-mode control with radial basis function network. 1518–1523. 3 indexed citations
18.
Lin, Faa‐Jeng, Po‐Huan Chou, & Ying‐Shieh Kung. (2008). Robust fuzzy neural network controller with nonlinear disturbance observer for two-axis motion control system. IET Control Theory and Applications. 2(2). 151–167. 41 indexed citations
19.
Lin, Faa‐Jeng & Po‐Huan Chou. (2008). Adaptive Control of Two-Axis Motion Control System Using Interval Type-2 Fuzzy Neural Network. IEEE Transactions on Industrial Electronics. 56(1). 178–193. 121 indexed citations
20.
Lin, Faa‐Jeng, Po‐Huan Chou, Po-Huang Shieh, & Syuan‐Yi Chen. (2008). Robust Control of an LUSM-Based $X\hbox{--}Y\hbox{--}\theta$ Motion Control Stage Using an Adaptive Interval Type-2 Fuzzy Neural Network. IEEE Transactions on Fuzzy Systems. 17(1). 24–38. 46 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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