Kyung‐Bin Song

1.1k total citations
81 papers, 917 citations indexed

About

Kyung‐Bin Song is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Kyung‐Bin Song has authored 81 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 18 papers in Control and Systems Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Kyung‐Bin Song's work include Energy Load and Power Forecasting (31 papers), Smart Grid and Power Systems (14 papers) and Power System Optimization and Stability (11 papers). Kyung‐Bin Song is often cited by papers focused on Energy Load and Power Forecasting (31 papers), Smart Grid and Power Systems (14 papers) and Power System Optimization and Stability (11 papers). Kyung‐Bin Song collaborates with scholars based in South Korea, United States and Australia. Kyung‐Bin Song's co-authors include Sung‐Kwan Joo, Young-Min Wi, Jung-Wook Park, Kyu‐Ho Kim, Kyeon Hur, Jin‐O Kim, Gilsoo Jang, Heon-Su Ryu, Young-Hyun Moon and Woo‐Jae Park and has published in prestigious journals such as Biochemical and Biophysical Research Communications, IEEE Transactions on Power Systems and Journal of Membrane Science.

In The Last Decade

Kyung‐Bin Song

63 papers receiving 833 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyung‐Bin Song South Korea 16 679 299 90 78 73 81 917
Abhishek Somani United States 12 285 0.4× 110 0.4× 46 0.5× 22 0.3× 23 0.3× 49 424
Min Lu China 15 250 0.4× 71 0.2× 97 1.1× 24 0.3× 33 0.5× 78 753
N. Kamaraj India 15 350 0.5× 199 0.7× 63 0.7× 24 0.3× 23 0.3× 68 626
Hua Wei China 17 735 1.1× 250 0.8× 62 0.7× 54 0.7× 6 0.1× 61 920
Guozhou Zhang China 16 752 1.1× 497 1.7× 55 0.6× 11 0.1× 49 0.7× 60 1.1k
Xiaodong Zheng China 16 830 1.2× 322 1.1× 22 0.2× 41 0.5× 20 0.3× 53 1.1k
Yuehui Huang China 16 955 1.4× 432 1.4× 167 1.9× 31 0.4× 39 0.5× 87 1.2k

Countries citing papers authored by Kyung‐Bin Song

Since Specialization
Citations

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

Fields of papers citing papers by Kyung‐Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung‐Bin Song. 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 Kyung‐Bin Song. The network helps show where Kyung‐Bin Song may publish in the future.

Co-authorship network of co-authors of Kyung‐Bin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Bin Song. A scholar is included among the top collaborators of Kyung‐Bin Song 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 Kyung‐Bin Song. Kyung‐Bin Song 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.
Song, Kyung‐Bin, et al.. (2025). XGBoost-Based Very Short-Term Load Forecasting Using Day-Ahead Load Forecasting Results. Electronics. 14(18). 3747–3747. 1 indexed citations
2.
Song, Kyung‐Bin, et al.. (2024). Mid-term Load Forecasting Algorithm for Large-Scale Power Systems Based on Deep Learning Considering the Impact of Behind-the-Meter Solar PV Generation. Journal of Electrical Engineering and Technology. 20(3). 1183–1192. 1 indexed citations
3.
Song, Kyung‐Bin, et al.. (2021). Load Forecasting Algorithm for Special Days by Considering Temperature Sensitivity and BTM Estimation. The Transactions of The Korean Institute of Electrical Engineers. 70(2). 290–296.
4.
Song, Kyung‐Bin, et al.. (2020). The Load Model Composition Method in Power Systems Using Artificial Neural Network. Journal of Electrical Engineering and Technology. 15(2). 519–526. 1 indexed citations
5.
Song, Kyung‐Bin, et al.. (2020). Economic Evaluation and Sensitivity Analysis of Solar PV Generation Business from the Perspective of Solar PV Generation Owners according to Fluctuation Scenarios of SMP and the Price of REC. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 34(10). 36–44. 1 indexed citations
6.
Song, Kyung‐Bin, et al.. (2018). Very Short-term Electric Load Forecasting for Real-time Power System Operation. Journal of Electrical Engineering and Technology. 13(4). 1419–1424. 10 indexed citations
7.
Kim, Kyu‐Ho, et al.. (2016). Generation Rescheduling Based on Energy Margin Sensitivity for Transient Stability Enhancement. Journal of Electrical Engineering and Technology. 11(1). 20–28. 2 indexed citations
8.
Song, Kyung‐Bin, et al.. (2013). An Analysis of Electric Demand Management Programs in Korea. Journal of International Council on Electrical Engineering. 3(4). 290–294. 1 indexed citations
9.
Lee, Soo Hyoung, et al.. (2013). Improvement of Composite Load Modeling Based on Parameter Sensitivity and Dependency Analyses. IEEE Transactions on Power Systems. 29(1). 242–250. 61 indexed citations
10.
Kim, Si Yeon, et al.. (2013). Representative Temperature Assessment for Improvement of Short-Term Load Forecasting Accuracy. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 27(6). 39–43. 7 indexed citations
11.
Wi, Young-Min, Sung‐Kwan Joo, & Kyung‐Bin Song. (2011). Holiday Load Forecasting Using Fuzzy Polynomial Regression With Weather Feature Selection and Adjustment. IEEE Transactions on Power Systems. 27(2). 596–603. 103 indexed citations
12.
Song, Kyung‐Bin, et al.. (2011). Inactivation of Foodborne Pathogenic Bacteria in Corn Silk Tea Using a Microwave Plasma Sterilization System. Journal of the Korean Society of Food Science and Nutrition. 40(8). 1195–1199. 1 indexed citations
13.
Song, Kyung‐Bin. (2010). The 24 Hourly Load Forecasting of the Election Day Using the Load Variation Rate. The Transactions of The Korean Institute of Electrical Engineers. 59(6). 1041–1045. 1 indexed citations
14.
Kim, Ki-Su, et al.. (2009). A Study on Estimation of Wind Power Generation using Weather Data in Jeju Island. The Transactions of The Korean Institute of Electrical Engineers. 58(12). 2349–2353. 3 indexed citations
15.
Song, Kyung‐Bin. (2007). Various Models of Fuzzy Least-Squares Linear Regression for Load Forecasting. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 21(7). 61–67. 5 indexed citations
16.
Chung, Kyung‐Sook, Seung‐Hee Lee, Sun-Kyung Kim, et al.. (2006). Cerulenin-mediated apoptosis is involved in adenine metabolic pathway. Biochemical and Biophysical Research Communications. 349(3). 1025–1031. 5 indexed citations
17.
Shin, Hosung & Kyung‐Bin Song. (2005). Load Shedding Algorithm Using Linear Programming for Congestion Problems by a Major Contingency. 371–377. 4 indexed citations
18.
Lee, Myoungsook, et al.. (2005). Physicochemical Properties of Soy Protein Isolate Films Laminated with Corn Zein or Wheat Gluten. Korean Journal of Food Science and Technology. 37(1). 142–146. 2 indexed citations
19.
Song, Kyung‐Bin, et al.. (2005). Implementing Distributed Optimal Power Flow Using the Alternating Direction Method. 412–415. 2 indexed citations
20.
Lee, Young Moo & Kyung‐Bin Song. (1997). Hydrogen Plasma Resistive and Highly Textured SnO2:F/ZnO:In Bilayer Films Prepared by the Pyrosol Method. Japanese Journal of Applied Physics. 36(7R). 4418–4418. 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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