Sung-Chul Go

411 citations
22 papers · 349 · h-index 9

Impact in

Papers in

Sung-Chul Go

22 papers receiving 327 citations

Peers

Sung-Chul Go
Comparison fields: 5 of 29
  • Control and Systems Engineering 245
  • Electronic, Optical and Magnetic Materials 117
  • Electrical and Electronic Engineering 295
  • Mechanical Engineering 79
  • Automotive Engineering 13
Replace Hyung-Il Park with:
Hyung-Il Park South Korea
Muhammad Ali Masood Cheema Australia
Gaizka Ugalde Spain
Ki‐Doek Lee South Korea
Mohammad Farshadnia Australia
Dae-Kyong Kim South Korea
Shruthi Mukundan Canada
Pavol Makyš Slovakia
Thanh Anh Huynh Taiwan
Wenju Yan China
Sung-Chul Go relative to Hyung-Il Park South Korea Hyung-Il Park's profile →
Citations per field
00.5×1.5×
Hyung-Il Park · 1×
Citations per year

Countries citing papers authored by Sung-Chul Go

Since Specialization
Citations

This map shows the geographic impact of Sung-Chul Go'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 Sung-Chul Go with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Chul Go more than expected).

Fields of papers citing papers by Sung-Chul Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Chul Go. 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 Sung-Chul Go. The network helps show where Sung-Chul Go may publish in the future.

Co-authors

The 24 scholars most cited alongside Sung-Chul Go, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sung-Chul Go Line = papers co-authored together Sung-Chul Go links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200975
2 200968
3 201757
4 200922
5 201720
6 201719
7 200717
8 200911
9 201610
10 20108
11 20178
12 20187
13 20134
14 20174
15 20174
16 20163
17 20233
18 20123
19 20222
20 20102

About Sung-Chul Go

Sung-Chul Go is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Civil and Structural Engineering, having authored 22 papers that have together received 349 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (17 papers), Sensorless Control of Electric Motors (9 papers), Magnetic Bearings and Levitation Dynamics (8 papers), Magnetic Properties and Applications (6 papers), Multilevel Inverters and Converters (3 papers), Piezoelectric Actuators and Control (3 papers), Magnetic Field Sensors Techniques (2 papers) and Non-Destructive Testing Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (245 citations), Electronic, Optical and Magnetic Materials (117 citations), Electrical and Electronic Engineering (295 citations), Mechanical Engineering (79 citations) and Automotive Engineering (13 citations). Sung-Chul Go has collaborated with scholars based in South Korea, Vietnam and United States. Frequent co-authors include Ju Lee, Won‐Ho Kim, Yon‐Do Chun, Dongwoo Kang, Hyung-Woo Lee, Huai-Cong Liu, J. Lee, Seungjoo Kim, Kwang-Soo Kim and Seung‐Joo Kim. Their work appears in journals such as IEEE Transactions on Magnetics, Energies, IEEE Transactions on Applied Superconductivity, Electronics Letters and Journal of Electrical Engineering and Technology.

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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