Sun-Ki Hong

515 total citations
59 papers, 358 citations indexed

About

Sun-Ki Hong is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Sun-Ki Hong has authored 59 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 24 papers in Control and Systems Engineering and 19 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Sun-Ki Hong's work include Electric Motor Design and Analysis (19 papers), Magnetic Properties and Applications (18 papers) and Machine Fault Diagnosis Techniques (15 papers). Sun-Ki Hong is often cited by papers focused on Electric Motor Design and Analysis (19 papers), Magnetic Properties and Applications (18 papers) and Machine Fault Diagnosis Techniques (15 papers). Sun-Ki Hong collaborates with scholars based in South Korea and Japan. Sun-Ki Hong's co-authors include Dong-Jin Choi, Hyun‐Kyo Jung, Sang-Uk Park, Jang-Sung Chun, Minkyu Kim, Chang Seop Koh, Hyun-Kyo Jung, Hyeong‐Seob Kim, Hyeong-Seok Kim and Jaewon Lim and has published in prestigious journals such as IEEE Access, IEEE Transactions on Magnetics and Journal of the Korean Physical Society.

In The Last Decade

Sun-Ki Hong

37 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sun-Ki Hong South Korea	9	134	107	78	76	54	59	358
Zhanxia Zhu China	15	190 1.4×	74 0.7×	89 1.1×	72 0.9×	69 1.3×	76	657
Xiaojie Sun China	10	218 1.6×	44 0.4×	88 1.1×	48 0.6×	38 0.7×	37	399
Ruizhen Gao China	10	167 1.2×	70 0.7×	73 0.9×	40 0.5×	32 0.6×	54	326
Jean Bigeon France	10	87 0.6×	142 1.3×	100 1.3×	91 1.2×	14 0.3×	40	376
Jang-Sung Chun South Korea	9	165 1.2×	218 2.0×	71 0.9×	80 1.1×	138 2.6×	17	448
Cheol-Gyun Lee South Korea	12	176 1.3×	304 2.8×	126 1.6×	170 2.2×	35 0.6×	26	555
Sen Li China	12	190 1.4×	175 1.6×	48 0.6×	45 0.6×	26 0.5×	50	413
Yunlang Xu China	13	249 1.9×	118 1.1×	84 1.1×	196 2.6×	32 0.6×	36	532
Ran Huang China	12	228 1.7×	72 0.7×	35 0.4×	55 0.7×	53 1.0×	63	536

Countries citing papers authored by Sun-Ki Hong

Since Specialization

Citations

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

Fields of papers citing papers by Sun-Ki Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun-Ki Hong. 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 Sun-Ki Hong. The network helps show where Sun-Ki Hong may publish in the future.

Co-authorship network of co-authors of Sun-Ki Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Sun-Ki Hong. A scholar is included among the top collaborators of Sun-Ki Hong 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 Sun-Ki Hong. Sun-Ki Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Park, Jonghoon, et al.. (2025). Compensation of Phase Errors in Current Sensors Induced by Eddy Currents Using a Deep Learning-Based Surrogate Model. Journal of Electrical Engineering and Technology. 20(4). 2509–2517.

Park, Jonghoon, et al.. (2025). Study on Improving Hysteresis Motor Efficiency by Over-Excitation Based on Finite Element Analysis. The Transactions of The Korean Institute of Electrical Engineers. 74(1). 49–55.

Park, Jonghoon, et al.. (2024). Comparison of Hysteresis Motor Output According to Applied Voltage. 1098–1101.

Hong, Sun-Ki, et al.. (2023). Performance Analysis of Transfer-Learning Based Physics-Informed Neural Network for Effective Shape Variation Adaptation with Varying Hyper-parameters. The Transactions of The Korean Institute of Electrical Engineers. 72(10). 1149–1158.

Hong, Sun-Ki, et al.. (2023). Performance Improvement of Transfer Learning-based Motor Fault Diagnosis Using Mix-up Data Considering Data Imbalance. The Transactions of The Korean Institute of Electrical Engineers. 72(2). 255–262.

Park, Sang-Uk, et al.. (2021). LSTM Based Behavior Classification Deep Learning Algorithm Using EEG. The Transactions of The Korean Institute of Electrical Engineers. 70(12). 1924–1933. 1 indexed citations

Choi, Dong-Jin, et al.. (2020). Comparative Study of CNN and RNN for Motor fault Diagnosis Using Deep Learning. 693–696. 18 indexed citations

Park, Sang-Uk, et al.. (2020). Comparison of motor fault diagnosis performance using RNN and K-means for data with disturbance. 443–446. 4 indexed citations

Choi, Dong-Jin, et al.. (2020). Motor Fault Diagnosis In Changed Environments using K-means and CNN. Journal of Institute of Control Robotics and Systems. 26(5). 348–354.

10.

Choi, Dong-Jin, et al.. (2019). Diagnosis of Electric Motor Using Acoustic noise Based on CNN. 1–4. 3 indexed citations

11.

Park, Sang-Uk, et al.. (2019). A Study on Fault Classification System Based on Deep Learning Algorithm Considering Speed and Load Condition. 1–4. 2 indexed citations

12.

Choi, Dong-Jin, et al.. (2019). A Study on Motor Poor Maintenance Detection Based on DT-CNN. 1234–1237. 3 indexed citations

13.

Choi, Dong-Jin, et al.. (2019). Data Preprocessing Method in Motor Fault Diagnosis Using Unsupervised Learning. 1508–1511. 2 indexed citations

14.

Hong, Sun-Ki, et al.. (2018). Dynamic Modeling and Load Characteristics of Hysteresis Motor Using Preisach Model. 560–563. 3 indexed citations

15.

Hong, Sun-Ki, et al.. (2013). A study of AC machine modeling with current controller using matrix vector and dq transformation. 2115–2118. 1 indexed citations

16.

Hong, Sun-Ki. (2009). A Study of Single Phase Hysteresis Current Control Using Reference Current Slope for Reducing Switching Loss. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 23(1). 150–155. 2 indexed citations

17.

Koh, Chang Seop, et al.. (2007). Experimental Measurement of Magnetic Properties of a Toroidal-type Bulk Electrical Steel using B-waveform Control. The Transactions of The Korean Institute of Electrical Engineers. 56(5). 869–875.

18.

Hong, Sun-Ki & Chang Seop Koh. (2005). Determination of the Distribution of the Preisach Density Function With Optimization Algorithm. 258–261. 3 indexed citations

19.

Hong, Sun-Ki, et al.. (2001). Voltage Source FEA for Hysteresis Motor using Preisach Model. 164–168. 2 indexed citations

20.

Koh, Chang Seop & Sun-Ki Hong. (1999). Finite element analysis of magnetizer using Preisach model. IEEE Transactions on Magnetics. 35(3). 1227–1230. 12 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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