Moses Kang

552 total citations
22 papers, 411 citations indexed

About

Moses Kang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Moses Kang has authored 22 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 5 papers in Automotive Engineering. Recurrent topics in Moses Kang's work include Microgrid Control and Optimization (12 papers), Wind Turbine Control Systems (11 papers) and Advanced Battery Technologies Research (5 papers). Moses Kang is often cited by papers focused on Microgrid Control and Optimization (12 papers), Wind Turbine Control Systems (11 papers) and Advanced Battery Technologies Research (5 papers). Moses Kang collaborates with scholars based in South Korea, United States and Morocco. Moses Kang's co-authors include Yong Cheol Kang, Eduard Muljadi, Jung-Wook Park, Jongbok Baek, Kyeon Hur, Jonghoon Kim, Yeon-Hee Kim, Jae‐Won Chang, Wenzhong Gao and Ziping Wu and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and Energies.

In The Last Decade

Moses Kang

21 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moses Kang South Korea 12 369 290 84 59 47 22 411
Tamou Nasser Morocco 15 581 1.6× 423 1.5× 81 1.0× 70 1.2× 30 0.6× 78 636
Shijie Yan China 9 524 1.4× 402 1.4× 51 0.6× 103 1.7× 48 1.0× 31 569
Hailian Xie China 11 520 1.4× 411 1.4× 41 0.5× 83 1.4× 48 1.0× 30 569
Xinshou Tian China 12 420 1.1× 288 1.0× 32 0.4× 97 1.6× 43 0.9× 55 466
Thomas Hartkopf Germany 9 365 1.0× 279 1.0× 66 0.8× 45 0.8× 18 0.4× 25 393
Eel-Hwan Kim South Korea 11 480 1.3× 242 0.8× 90 1.1× 44 0.7× 21 0.4× 47 507
Abdelkader Mezouar Algeria 13 378 1.0× 280 1.0× 68 0.8× 50 0.8× 25 0.5× 52 427
A.B. Attya United Kingdom 13 597 1.6× 432 1.5× 122 1.5× 81 1.4× 20 0.4× 36 633
Björn Andresen Denmark 12 386 1.0× 302 1.0× 27 0.3× 41 0.7× 30 0.6× 30 454
Jan Van de Vyver Belgium 9 542 1.5× 441 1.5× 130 1.5× 59 1.0× 15 0.3× 33 581

Countries citing papers authored by Moses Kang

Since Specialization
Citations

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

Fields of papers citing papers by Moses Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moses Kang. 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 Moses Kang. The network helps show where Moses Kang may publish in the future.

Co-authorship network of co-authors of Moses Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Moses Kang. A scholar is included among the top collaborators of Moses Kang 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 Moses Kang. Moses Kang 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.
Abbou, Ahmed, et al.. (2024). A novel reinforcement learning policy optimization based adaptive VSG control technique for improved frequency stabilization in AC microgrids. Electric Power Systems Research. 230. 110269–110269. 21 indexed citations
2.
Kang, Moses, et al.. (2024). Functionality Verification of Inverters for Interoperable Distributed Energy Resources Based on IEEE Std 1547.1–2020. Journal of Electrical Engineering and Technology. 19(5). 3127–3139. 1 indexed citations
3.
4.
Kang, Moses, et al.. (2023). Investigation of denoising autoencoder-based deep learning model in noise-riding experimental data for reliable state-of-charge estimation. Journal of Energy Storage. 72. 108421–108421. 12 indexed citations
5.
Chang, Jae‐Won, et al.. (2023). An Economic Dispatch for a Shared Energy Storage System Using MILP Optimization: A Case Study of a Moroccan Microgrid. Energies. 16(12). 4601–4601. 12 indexed citations
6.
7.
Kang, Moses, et al.. (2022). Real-Time State-of-Charge Estimation Using an Embedded Board for Li-Ion Batteries. Electronics. 11(13). 2010–2010. 11 indexed citations
8.
Chang, Jae‐Won, et al.. (2022). Data-Driven Estimation of Voltage-to-Power Sensitivities Considering Their Mutual Dependency in Medium Voltage Distribution Networks. IEEE Transactions on Power Systems. 37(4). 3173–3176. 15 indexed citations
9.
Kang, Moses, et al.. (2020). State of Health Estimation for Lithium-Ion Batteries Using Long-Term Recurrent Convolutional Network. IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. 12 indexed citations
10.
Park, Hwa-Pyeong, Mina Kim, Jongbok Baek, Moses Kang, & Jee‐Hoon Jung. (2020). Spread Spectrum Based Power Line Communication and EM Noise Reduction Technique for Bidirectional HB CLLC Resonant Converter. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 5470–5473. 6 indexed citations
11.
Kang, Moses, et al.. (2019). Comparison of Learning Techniques of LSTM Network for State of Charge Estimation in Lithium-Ion Batteries. Journal of IKEEE. 23(4). 1328–1336. 1 indexed citations
12.
13.
Yang, Dejian, Moses Kang, Jinho Kim, Junhee Hong, & Yong Cheol Kang. (2017). Stable stepwise short-term frequency support of a DFIG-based wind farm. International Transactions on Electrical Energy Systems. 28(3). e2495–e2495. 6 indexed citations
14.
Yang, Dejian, Moses Kang, Eduard Muljadi, et al.. (2017). Short-Term Frequency Response of a DFIG-Based Wind Turbine Generator for Rapid Frequency Stabilization. Energies. 10(11). 1863–1863. 6 indexed citations
15.
Kim, Yeon-Hee, Moses Kang, Eduard Muljadi, Jung-Wook Park, & Yong Cheol Kang. (2016). Power Smoothing of a Variable-Speed Wind Turbine Generator in Association With the Rotor-Speed-Dependent Gain. IEEE Transactions on Sustainable Energy. 8(3). 990–999. 43 indexed citations
16.
Wang, Xiao, Wenzhong Gao, Jianhui Wang, et al.. (2016). Assessment of system frequency support effect of PMSG-WTG using torque-limit-based inertial control. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 1 indexed citations
17.
Kang, Moses, Eduard Muljadi, Kyeon Hur, & Yong Cheol Kang. (2016). Stable Adaptive Inertial Control of a Doubly-Fed Induction Generator. IEEE Transactions on Smart Grid. 7(6). 2971–2979. 54 indexed citations
18.
Wu, Ziping, Moses Kang, Min Hwang, et al.. (2016). Frequency support of PMSG-WTG based on improved inertial control. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5. 1–5.
19.
Wang, Xiao, Wenzhong Gao, Jianhui Wang, et al.. (2016). Inertial response of wind power plants: A comparison of frequency-based inertial control and stepwise inertial control. 1–6. 10 indexed citations
20.
Kang, Moses, Jinsik Lee, & Yong Cheol Kang. (2015). Modified stepwise inertial control using the mechanical input and electrical output curves of a doubly fed induction generator. 357–361. 13 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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