Seunghyoung Ryu

1.3k total citations
21 papers, 976 citations indexed

About

Seunghyoung Ryu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seunghyoung Ryu has authored 21 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seunghyoung Ryu's work include Smart Grid Energy Management (7 papers), Energy Load and Power Forecasting (7 papers) and Image and Signal Denoising Methods (5 papers). Seunghyoung Ryu is often cited by papers focused on Smart Grid Energy Management (7 papers), Energy Load and Power Forecasting (7 papers) and Image and Signal Denoising Methods (5 papers). Seunghyoung Ryu collaborates with scholars based in South Korea and Canada. Seunghyoung Ryu's co-authors include Hongseok Kim, Jae-Koo Noh, Yohwan Choi, Kyungnam Park, Hyoseop Lee, Saehong Park, Yonggyun Yu, Jihyo Kim, Hogeon Seo and Hyeonmin Kim and has published in prestigious journals such as IEEE Transactions on Power Systems, Expert Systems with Applications and IEEE Access.

In The Last Decade

Seunghyoung Ryu

21 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seunghyoung Ryu South Korea	13	716	199	197	145	135	21	976
Minghao Xu United Kingdom	6	881 1.2×	199 1.0×	79 0.4×	119 0.8×	200 1.5×	13	998
Mao Tan China	15	623 0.9×	149 0.7×	90 0.5×	172 1.2×	99 0.7×	56	853
Nalin Behari Dev Choudhury India	15	809 1.1×	143 0.7×	137 0.7×	282 1.9×	76 0.6×	79	942
Oveis Abedinia Iran	15	909 1.3×	228 1.1×	148 0.8×	272 1.9×	72 0.5×	29	1.2k
Abdulaziz Almalaq Saudi Arabia	18	657 0.9×	219 1.1×	70 0.4×	258 1.8×	112 0.8×	37	939
Saifur Rahman United States	15	1.2k 1.6×	301 1.5×	256 1.3×	254 1.8×	154 1.1×	59	1.5k
Mohamed Massaoudi Qatar	15	604 0.8×	298 1.5×	49 0.2×	197 1.4×	79 0.6×	40	937
Yongxin Su China	13	537 0.8×	94 0.5×	49 0.2×	151 1.0×	84 0.6×	46	848
Hamidreza Jahangir Iran	14	766 1.1×	116 0.6×	194 1.0×	259 1.8×	47 0.3×	22	914
George J. Tsekouras Greece	16	782 1.1×	142 0.7×	213 1.1×	222 1.5×	68 0.5×	58	1.3k

Countries citing papers authored by Seunghyoung Ryu

Since Specialization

Citations

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

Fields of papers citing papers by Seunghyoung Ryu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seunghyoung Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Seunghyoung Ryu. A scholar is included among the top collaborators of Seunghyoung Ryu 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 Seunghyoung Ryu. Seunghyoung Ryu 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

Ryu, Seunghyoung, et al.. (2025). Quantitative comparison of explainable artificial intelligence methods for nuclear power plant accident diagnosis models. Progress in Nuclear Energy. 180. 105605–105605. 2 indexed citations

Kim, Kangsan, et al.. (2024). Data-Driven Clustering Analysis for Representative Electric Vehicle Charging Profile in South Korea. Sensors. 24(21). 6800–6800. 2 indexed citations

Ryu, Seunghyoung, Yonggyun Yu, & Hogeon Seo. (2024). Can Untrained Neural Networks Detect Anomalies?. IEEE Transactions on Industrial Informatics. 20(4). 6477–6488. 2 indexed citations

Ryu, Seunghyoung & Yonggyun Yu. (2023). Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-Term Load Forecasting. IEEE Transactions on Smart Grid. 15(2). 2237–2250. 14 indexed citations

Kim, Hyeonmin, et al.. (2022). An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system. Reliability Engineering & System Safety. 222. 108446–108446. 6 indexed citations

Ryu, Seunghyoung, et al.. (2022). Development of deep autoencoder-based anomaly detection system for HANARO. Nuclear Engineering and Technology. 55(2). 475–483. 14 indexed citations

Ryu, Seunghyoung, et al.. (2022). Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal–hydraulic code. Expert Systems with Applications. 200. 116966–116966. 18 indexed citations

Ryu, Seunghyoung, et al.. (2020). Denoising Autoencoder-Based Missing Value Imputation for Smart Meters. IEEE Access. 8. 40656–40666. 68 indexed citations

Ryu, Seunghyoung, et al.. (2019). Convolutional Autoencoder Based Feature Extraction and Clustering for Customer Load Analysis. IEEE Transactions on Power Systems. 35(2). 1048–1060. 104 indexed citations

10.

Choi, Yohwan, Seunghyoung Ryu, Kyungnam Park, & Hongseok Kim. (2019). Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles. IEEE Access. 7. 75143–75152. 182 indexed citations

11.

Ryu, Seunghyoung, et al.. (2018). Residential Load Profile Clustering via Deep Convolutional Autoencoder. 28. 1–6. 16 indexed citations

12.

Ryu, Seunghyoung, et al.. (2018). Gaussian Residual Bidding Based Coalition for Two-Settlement Renewable Energy Market. IEEE Access. 6. 43029–43038. 12 indexed citations

13.

Ryu, Seunghyoung, et al.. (2018). Short-Term Load Forecasting based on ResNet and LSTM. 1–6. 73 indexed citations

14.

Ryu, Seunghyoung, et al.. (2017). Coalition-based bidding strategies for integrating renewable energy sources in electricity market. 1–5. 2 indexed citations

15.

Choi, Yohwan, et al.. (2017). Robust Operation of Energy Storage System with Uncertain Load Profiles. Energies. 10(4). 416–416. 23 indexed citations

16.

Ryu, Seunghyoung, Jae-Koo Noh, & Hongseok Kim. (2016). Deep neural network based demand side short term load forecasting. 308–313. 51 indexed citations

17.

Ryu, Seunghyoung, Jae-Koo Noh, & Hongseok Kim. (2016). Deep Neural Network Based Demand Side Short Term Load Forecasting. Energies. 10(1). 3–3. 297 indexed citations

18.

Ryu, Seunghyoung, et al.. (2016). Customer Load Pattern Analysis using Clustering Techniques. 2(1). 61–69. 8 indexed citations

19.

Park, Saehong, Seunghyoung Ryu, Yohwan Choi, Jihyo Kim, & Hongseok Kim. (2015). Data-Driven Baseline Estimation of Residential Buildings for Demand Response. Energies. 8(9). 10239–10259. 48 indexed citations

20.

Park, Saehong, Seunghyoung Ryu, Yohwan Choi, & Hongseok Kim. (2014). A framework for baseline load estimation in demand response: Data mining approach. 638–643. 25 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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