Kuang‐Rong Shih

1.0k total citations · 1 hit paper
10 papers, 811 citations indexed

About

Kuang‐Rong Shih is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Kuang‐Rong Shih has authored 10 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 5 papers in Control and Systems Engineering and 3 papers in Management Science and Operations Research. Recurrent topics in Kuang‐Rong Shih's work include Power System Optimization and Stability (6 papers), Fault Detection and Control Systems (3 papers) and Energy Load and Power Forecasting (3 papers). Kuang‐Rong Shih is often cited by papers focused on Power System Optimization and Stability (6 papers), Fault Detection and Control Systems (3 papers) and Energy Load and Power Forecasting (3 papers). Kuang‐Rong Shih collaborates with scholars based in Taiwan. Kuang‐Rong Shih's co-authors include Shyh‐Jier Huang, Shyh-Jier Huang, Tsorng‐Juu Liang, Ching-Lien Huang, Hong‐Tzer Yang, Yaw‐Juen Wang, Chien‐Hung Huang, Chien‐Hsing Lee, Chien-Hsing Lee and Wenbin Lin and has published in prestigious journals such as IEEE Transactions on Power Systems, International Journal of Electrical Power & Energy Systems and IEEE Power Engineering Review.

In The Last Decade

Kuang‐Rong Shih

9 papers receiving 766 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Short-term load forecasting via ARMA model identification including non-gaussian process considerations

2003 530 citations Shyh‐Jier Huang, Kuang‐Rong Shih IEEE Transactions on Power Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuang‐Rong Shih Taiwan	7	739	250	189	179	77	10	811
W. Charytoniuk United States	8	584 0.8×	196 0.8×	144 0.8×	90 0.5×	90 1.2×	10	642
Che Guan United States	6	659 0.9×	229 0.9×	183 1.0×	77 0.4×	189 2.5×	8	714
George Sideratos Greece	10	936 1.3×	107 0.4×	364 1.9×	134 0.7×	60 0.8×	15	1.0k
J. Liao United States	11	763 1.0×	94 0.4×	142 0.8×	180 1.0×	36 0.5×	14	814
C.S. Özveren United Kingdom	9	454 0.6×	71 0.3×	99 0.5×	110 0.6×	37 0.5×	36	579
M.-S. Chen United States	8	900 1.2×	76 0.3×	131 0.7×	559 3.1×	49 0.6×	15	1.0k
D. M. Vinod Kumar India	16	921 1.2×	62 0.2×	236 1.2×	265 1.5×	32 0.4×	54	1.1k
Yvon Bésanger France	15	773 1.0×	60 0.2×	80 0.4×	437 2.4×	48 0.6×	61	886
Zhou Jian-hua China	10	279 0.4×	184 0.7×	79 0.4×	55 0.3×	54 0.7×	31	587
K. Methaprayoon United States	10	560 0.8×	83 0.3×	105 0.6×	128 0.7×	37 0.5×	15	602

Countries citing papers authored by Kuang‐Rong Shih

Since Specialization

Citations

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

Fields of papers citing papers by Kuang‐Rong Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuang‐Rong Shih. 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 Kuang‐Rong Shih. The network helps show where Kuang‐Rong Shih may publish in the future.

Co-authorship network of co-authors of Kuang‐Rong Shih

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

All Works

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10 of 10 papers shown

1.

Lin, Wenbin, et al.. (2010). LabVIEW implement for distorted signal detection with robust complex extended Kalman filter. International Journal of the Physical Sciences. 5(14). 2161–2170. 1 indexed citations

2.

Huang, Chien‐Hung, Chien‐Hsing Lee, Kuang‐Rong Shih, & Yaw‐Juen Wang. (2009). Bad data analysis in power system measurement estimation using complex artificial neural network based on the extended complex Kalman filter. European Transactions on Electrical Power. 20(8). 1082–1100. 6 indexed citations

3.

Huang, Chien‐Hung, Chien-Hsing Lee, Kuang‐Rong Shih, & Yaw‐Juen Wang. (2007). Extended Complex Kalman Filter Artificial Neural Network for Bad-Data Detection in Power System State Estimation. 2. 1–7. 3 indexed citations

4.

Huang, Shyh‐Jier & Kuang‐Rong Shih. (2003). Short-term load forecasting via ARMA model identification including non-gaussian process considerations. IEEE Transactions on Power Systems. 18(2). 673–679. 530 indexed citations breakdown →

5.

Huang, Shyh-Jier, et al.. (2003). Application of sliding surface-enhanced fuzzy control for dynamic state estimation of a power system. IEEE Transactions on Power Systems. 18(2). 570–577. 44 indexed citations

6.

Shih, Kuang‐Rong & Shyh‐Jier Huang. (2002). Application of a Robust Algorithm for Dynamic State Estimation of a Power System. IEEE Power Engineering Review. 22(1). 70–70. 9 indexed citations

7.

Huang, Shyh‐Jier & Kuang‐Rong Shih. (2002). Dynamic-state-estimation scheme including nonlinear measurement function considerations. IEE Proceedings - Generation Transmission and Distribution. 149(6). 673–673. 37 indexed citations

8.

Huang, Shyh‐Jier & Kuang‐Rong Shih. (2002). Application of a fuzzy model for short-term load forecast with group method of data handling enhancement. International Journal of Electrical Power & Energy Systems. 24(8). 631–638. 16 indexed citations

9.

Shih, Kuang‐Rong & Shyh‐Jier Huang. (2002). Application of a robust algorithm for dynamic state estimation of a power system. IEEE Transactions on Power Systems. 17(1). 141–147. 154 indexed citations

10.

Yang, Hong‐Tzer, Tsorng‐Juu Liang, Kuang‐Rong Shih, & Ching-Lien Huang. (2002). Power system yearly peak load forecasting: a grey system modeling approach. 1. 261–266. 11 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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