Chih‐Hong Lin

1.4k citations
88 papers · 1.0k indexed · h-index 16
Topics
Sensorless Control of Electric Motors (63 papers)Adaptive Control of Nonlinear Systems (32 papers)Iterative Learning Control Systems (29 papers)
Partner nations
TaiwanChinaJapan

In The Last Decade

Chih‐Hong Lin

84 papers receiving 946 citations

Peers

Chih‐Hong Lin
Comparison fields: 5 of 57
  • Control and Systems Engineering 687
  • Electrical and Electronic Engineering 512
  • Artificial Intelligence 302
  • Mechanical Engineering 126
  • Automotive Engineering 60
Replace Sridhar Seshagiri with:
Sridhar Seshagiri United States
Shixi Hou China
Engin Yeşil Türkiye
Mohammad Reza Soltanpour Iran
Congzhi Huang China
Müjde Güzelkaya Türkiye
Rajani K. Mudi India
Abdel Latif Elshafei Egypt
Atsushi Ishigame Japan
Khalid Mehmood Cheema Pakistan
Chih‐Hong Lin relative to Sridhar Seshagiri United States Sridhar Seshagiri's profile →
Citations per field
00.5×1.5×2.3×
Sridhar Seshagiri · 1×
Citations per year

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
#WorkIndexed citations
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SynRM Driving CVT System Using an ARGOPNN with MPSO Control System
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3 2
4 3
5 0
6 2
7 1
8 12
9 0
10 17
11 15
12 2
13 4
14 2
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Integral Backstepping Control for a PMLSM Using Adaptive RNNUO
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16 2
17 1
18 2
19 5
20 50

About Chih‐Hong Lin

Chih‐Hong Lin is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 88 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (63 papers), Adaptive Control of Nonlinear Systems (32 papers) and Iterative Learning Control Systems (29 papers). The work is most often cited by research in Control and Systems Engineering (687 citations), Energy Engineering and Power Technology (31 citations) and Artificial Intelligence (302 citations). Chih‐Hong Lin has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Faa‐Jeng Lin, Po-Hung Shen, Chang-Chou Hwang, Jenn-Jiang Hwang, Rong‐Jong Wai, Kuo‐Kai Shyu, Shusheng Zhang, S.J. Chiang, P.-H. Shen and Yiling Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and International Journal of Hydrogen Energy.

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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