Chih-Ming Hong

2.1k total citations
51 papers, 1.7k citations indexed

About

Chih-Ming Hong is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Chih-Ming Hong has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 12 papers in Energy Engineering and Power Technology. Recurrent topics in Chih-Ming Hong's work include Wind Turbine Control Systems (22 papers), Energy Load and Power Forecasting (12 papers) and Frequency Control in Power Systems (11 papers). Chih-Ming Hong is often cited by papers focused on Wind Turbine Control Systems (22 papers), Energy Load and Power Forecasting (12 papers) and Frequency Control in Power Systems (11 papers). Chih-Ming Hong collaborates with scholars based in Taiwan, China and Yemen. Chih-Ming Hong's co-authors include Whei-Min Lin, Chiung-Hsing Chen, Ting‐Chia Ou, Fu-Sheng Cheng, Kai-Hung Lu, Chia‐Sheng Tu, Cong‐Hui Huang, Ta‐Peng Tsao, Whei‐Min Lin and Yulong Lei and has published in prestigious journals such as IEEE Transactions on Power Electronics, Energy Conversion and Management and Energy.

In The Last Decade

Chih-Ming Hong

50 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih-Ming Hong Taiwan 20 1.4k 823 373 282 262 51 1.7k
Julio Usaola Spain 28 2.3k 1.7× 835 1.0× 197 0.5× 100 0.4× 310 1.2× 70 2.6k
Majid Jamil India 18 900 0.7× 540 0.7× 292 0.8× 293 1.0× 219 0.8× 97 1.3k
Minh Quan Duong Vietnam 19 1.2k 0.9× 623 0.8× 181 0.5× 155 0.5× 149 0.6× 86 1.4k
S. Ali Pourmousavi Australia 23 1.9k 1.4× 1.1k 1.3× 207 0.6× 129 0.5× 105 0.4× 79 2.1k
Peng Hou Denmark 21 959 0.7× 365 0.4× 147 0.4× 150 0.5× 747 2.9× 56 1.5k
Il‐Yop Chung South Korea 24 1.7k 1.2× 1.2k 1.5× 175 0.5× 208 0.7× 44 0.2× 87 1.9k
Bernd Klöckl Netherlands 10 1.7k 1.3× 538 0.7× 123 0.3× 73 0.3× 186 0.7× 16 1.9k
Shuli Wen China 18 1.0k 0.7× 491 0.6× 143 0.4× 214 0.8× 102 0.4× 62 1.7k
Jianwu Zeng United States 15 1.2k 0.9× 522 0.6× 341 0.9× 348 1.2× 67 0.3× 58 1.5k
Ruifeng Yan Australia 27 2.3k 1.7× 1.7k 2.1× 312 0.8× 180 0.6× 46 0.2× 102 2.6k

Countries citing papers authored by Chih-Ming Hong

Since Specialization
Citations

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

Fields of papers citing papers by Chih-Ming Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chih-Ming Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Chih-Ming Hong. A scholar is included among the top collaborators of Chih-Ming 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 Chih-Ming Hong. Chih-Ming Hong 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.
Lu, Kai-Hung, Chih-Ming Hong, Jijian Lian, & Fu-Sheng Cheng. (2025). A Review of Synergies Between Advanced Grid Integration Strategies and Carbon Market for Wind Energy Development. Energies. 18(3). 590–590. 3 indexed citations
2.
Hong, Chih-Ming, et al.. (2023). A Review of State-of-the-art and Short-Term Forecasting Models for Solar PV Power Generation. Preprints.org. 13 indexed citations
3.
Hong, Chih-Ming, et al.. (2023). A Review of Modern Wind Power Generation Forecasting Technologies. Preprints.org. 21 indexed citations
4.
Hong, Chih-Ming, et al.. (2023). A Review of Modern Wind Power Generation Forecasting Technologies. Sustainability. 15(14). 10757–10757. 29 indexed citations
5.
Hong, Chih-Ming, et al.. (2023). A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation. Energies. 16(14). 5436–5436. 21 indexed citations
6.
Hong, Chih-Ming, et al.. (2022). Short-Term Solar Power Forecasting via General Regression Neural Network with Grey Wolf Optimization. Energies. 15(18). 6624–6624. 23 indexed citations
7.
Lu, Kai-Hung, Chih-Ming Hong, & Fu-Sheng Cheng. (2022). Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller. Energies. 15(21). 8263–8263. 2 indexed citations
8.
Tu, Chia‐Sheng, et al.. (2020). Short Term Wind Power Prediction Based on Data Regression and Enhanced Support Vector Machine. Energies. 13(23). 6319–6319. 15 indexed citations
9.
Chen, Chiung-Hsing, et al.. (2017). Improved ZigBee module based on fuzzy model for indoor positioning system. 1331–1334. 2 indexed citations
10.
Hong, Chih-Ming, et al.. (2016). Design of intelligent control for stabilization of microgrid system. International Journal of Electrical Power & Energy Systems. 82. 569–578. 16 indexed citations
11.
Ou, Ting‐Chia, et al.. (2015). SELF-REGULATION GROUND FAULTS MODEL FOR MICROGRID DISTRIBUTION. ICIC express letters. Part B, Applications. 6(12). 3225–3230. 14 indexed citations
12.
Hong, Chih-Ming, Ting‐Chia Ou, & Kai-Hung Lu. (2013). Development of intelligent MPPT (maximum power point tracking) control for a grid-connected hybrid power generation system. Energy. 50. 270–279. 124 indexed citations
13.
Hong, Chih-Ming, Chiung-Hsing Chen, & Chia‐Sheng Tu. (2013). Maximum power point tracking-based control algorithm for PMSG wind generation system without mechanical sensors. Energy Conversion and Management. 69. 58–67. 111 indexed citations
14.
Hong, Chih-Ming & Chiung-Hsing Chen. (2013). Intelligent control of a grid-connected wind-photovoltaic hybrid power systems. International Journal of Electrical Power & Energy Systems. 55. 554–561. 62 indexed citations
15.
Chen, Chiung-Hsing, Kai-Hung Lu, Chih-Ming Hong, & Ting‐Chia Ou. (2012). Dynamic characteristic analysis for FACTS using GACO-FNN. 1. 954–959. 2 indexed citations
16.
Lin, Whei‐Min, et al.. (2011). MPPT control strategy for wind energy conversion system based on RBF network. 41. 1–6. 4 indexed citations
17.
Hong, Chih-Ming, et al.. (2011). Hybrid fuzzy control of wind turbine generator by pitch control using RNN. International Journal of Ambient Energy. 33(2). 56–64. 14 indexed citations
18.
Lin, Whei-Min, et al.. (2010). Hybrid intelligent control of PMSG wind generation system using pitch angle control with RBFN. Energy Conversion and Management. 52(2). 1244–1251. 66 indexed citations
19.
Lin, Whei-Min & Chih-Ming Hong. (2010). Intelligent approach to maximum power point tracking control strategy for variable-speed wind turbine generation system. Energy. 35(6). 2440–2447. 139 indexed citations
20.
Ou, Ting‐Chia, Kai-Hung Lu, Whei‐Min Lin, & Chih-Ming Hong. (2010). A study for price-based unit commitment with carbon trading by DI&C simulation. 139. 73–78. 6 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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