Young-Min Wi

556 total citations
18 papers, 460 citations indexed

About

Young-Min Wi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Young-Min Wi has authored 18 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Young-Min Wi's work include Energy Load and Power Forecasting (12 papers), Solar Radiation and Photovoltaics (5 papers) and Smart Grid Energy Management (3 papers). Young-Min Wi is often cited by papers focused on Energy Load and Power Forecasting (12 papers), Solar Radiation and Photovoltaics (5 papers) and Smart Grid Energy Management (3 papers). Young-Min Wi collaborates with scholars based in South Korea, United States and Ireland. Young-Min Wi's co-authors include Sung‐Kwan Joo, Jonguk Lee, Kyung‐Bin Song, Jaehee Lee, Hyun‐Su Kim, Jong‐Bae Park, Kisung Lee, Hyung-Chul Jo, San Kim and Jaewon Choi and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Access and Energies.

In The Last Decade

Young-Min Wi

17 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young-Min Wi South Korea 9 417 142 75 65 62 18 460
Hanif Tayarani Iran 6 342 0.8× 115 0.8× 65 0.9× 50 0.8× 64 1.0× 9 434
Yavuz Eren Türkiye 7 313 0.8× 110 0.8× 106 1.4× 19 0.3× 28 0.5× 18 394
Xuebo Qiao China 13 473 1.1× 112 0.8× 168 2.2× 22 0.3× 26 0.4× 24 528
Mostafa Majidpour Australia 9 429 1.0× 219 1.5× 41 0.5× 41 0.6× 56 0.9× 12 479
Hanjiang Dong China 7 335 0.8× 26 0.2× 116 1.5× 45 0.7× 47 0.8× 29 393
Evangelos Kotsakis Italy 11 374 0.9× 173 1.2× 166 2.2× 21 0.3× 31 0.5× 36 489
Shuaihu Li China 9 404 1.0× 28 0.2× 161 2.1× 65 1.0× 55 0.9× 25 465
Carlos Márcio Vieira Tahan Brazil 7 453 1.1× 67 0.5× 147 2.0× 17 0.3× 33 0.5× 27 500
Zhichao Shi China 10 428 1.0× 45 0.3× 201 2.7× 34 0.5× 62 1.0× 26 528
Salim Haddad Algeria 9 257 0.6× 27 0.2× 110 1.5× 52 0.8× 61 1.0× 28 344

Countries citing papers authored by Young-Min Wi

Since Specialization
Citations

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

Fields of papers citing papers by Young-Min Wi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Min Wi. 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 Young-Min Wi. The network helps show where Young-Min Wi may publish in the future.

Co-authorship network of co-authors of Young-Min Wi

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

All Works

18 of 18 papers shown
1.
Wi, Young-Min, et al.. (2024). Multihousehold Load Forecasting Based on a Convolutional Neural Network Using Moment Information and Data Augmentation. Energies. 17(4). 902–902. 1 indexed citations
2.
Wi, Young-Min, et al.. (2024). Research on Development and Implementation of Integrated Energy Management System for Buildings. Journal of Electrical Engineering and Technology. 19(8). 5393–5405. 5 indexed citations
3.
Joo, Sung‐Kwan, et al.. (2024). Medium-Term Minimum Demand Forecasting Based on the Parallel LSTM-MLP Model. IEEE Access. 12. 195319–195331. 2 indexed citations
4.
Choi, Jaewon, et al.. (2024). Development of an Ensemble Model for Power Demand Prediction in High-Rise Hotels with Environmental Variables. Journal of Electrical Engineering and Technology. 20(3). 1911–1921. 1 indexed citations
5.
Lee, Jaehee, et al.. (2023). Day-Ahead PV Generation Scheduling in Incentive Program for Accurate Renewable Forecasting. Applied Sciences. 14(1). 228–228. 1 indexed citations
6.
Kim, Hyun‐Su, et al.. (2022). Day-Ahead Short-Term Load Forecasting for Holidays Based on Modification of Similar Days’ Load Profiles. IEEE Access. 10. 17864–17880. 35 indexed citations
7.
Kim, San, et al.. (2022). An Offer Method for Photovoltaic Power Plants with ESSs Considering Incentives for Forecasting Accuracy of Renewable Generation. The Transactions of The Korean Institute of Electrical Engineers. 71(8). 1076–1083. 1 indexed citations
8.
Wi, Young-Min, et al.. (2021). Weather Data Mixing Models for Day-Ahead PV Forecasting in Small-Scale PV Plants. Energies. 14(11). 2998–2998. 2 indexed citations
9.
Lee, Jaehee, et al.. (2021). Impact of Revised Time of Use Tariff on Variable Renewable Energy Curtailment on Jeju Island. Electronics. 10(2). 135–135. 11 indexed citations
10.
Wi, Young-Min, et al.. (2020). Day-Ahead Forecasting for Small-Scale Photovoltaic Power Based on Similar Day Detection with Selective Weather Variables. Electronics. 9(7). 1117–1117. 17 indexed citations
11.
Wi, Young-Min, et al.. (2019). Short-Term Load Forecasting for a Single Household Based on Convolution Neural Networks Using Data Augmentation. Energies. 12(18). 3560–3560. 33 indexed citations
12.
Wi, Young-Min. (2017). A Study on the Baseline Load Estimation Method using Heating Degree Days and Cooling Degree Days Adjustment. The Transactions of The Korean Institute of Electrical Engineers. 66(5). 745–749. 2 indexed citations
13.
Wi, Young-Min, et al.. (2016). Weekly Peak Load Forecasting Using Weather Stochastic Model and Weather Sensitivity. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 30(5). 59–59. 1 indexed citations
14.
Jo, Hyung-Chul, et al.. (2016). Optimization-Based Reconfiguration Method for Power System Incorporating Superconducting Fault Current Limiter Failure. IEEE Transactions on Applied Superconductivity. 26(4). 1–4. 8 indexed citations
15.
Wi, Young-Min, Jonguk Lee, & Sung‐Kwan Joo. (2013). Electric vehicle charging method for smart homes/buildings with a photovoltaic system. IEEE Transactions on Consumer Electronics. 59(2). 323–328. 197 indexed citations
16.
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
17.
Wi, Young-Min, et al.. (2010). Fault Current Constrained Decentralized Optimal Power Flow Incorporating Superconducting Fault Current Limiter (SFCL). IEEE Transactions on Applied Superconductivity. 21(3). 2157–2160. 13 indexed citations
18.

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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