Po‐Huan Chou

1.2k citations
43 papers · 955 indexed · h-index 16
Topics
Iterative Learning Control Systems (20 papers)Adaptive Control of Nonlinear Systems (13 papers)Sensorless Control of Electric Motors (12 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Po‐Huan Chou

38 papers receiving 927 citations

Peers

Po‐Huan Chou
Comparison fields: 5 of 69
  • Control and Systems Engineering 641
  • Electrical and Electronic Engineering 331
  • Mechanical Engineering 231
  • Artificial Intelligence 193
  • Computer Networks and Communications 102
Replace Min Wu with:
Min Wu China
Mohammad Reza Soltanpour Iran
Soheil Ganjefar Iran
Gwi-Tae Park South Korea
Liang Hua China
Jeng-Dao Lee Taiwan
Chih‐Hong Lin Taiwan
R. Garrido Mexico
Zhiqiang Ma China
Kang‐Zhi Liu Japan
Po‐Huan Chou relative to Min Wu China Min Wu's profile →
Citations per field
00.5×1.5×2.2×
Min Wu · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 6
4 0
5 2
6 4
7 13
8 75
9 13
10 4
11 15
12 24
13 22
14 2
15 1
16 1
17 30
18 3
19 41
20 46

About Po‐Huan Chou

Po‐Huan Chou is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 43 papers that have together received 955 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (20 papers), Adaptive Control of Nonlinear Systems (13 papers) and Sensorless Control of Electric Motors (12 papers). The work is most often cited by research in Control and Systems Engineering (641 citations), Mechanical Engineering (231 citations) and Artificial Intelligence (193 citations). Po‐Huan Chou has collaborated with scholars based in Taiwan and United States. Frequent 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 Yu‐Chen Kuo. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Access.

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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