Jin Hur
Impact in
-
- Energy Load and Power Forecasting
- Electric Power System Optimization
- Electric Vehicles and Infrastructure
- Integrated Energy Systems Optimization
Papers in
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- Energy Load and Power Forecasting 21
- Integrated Energy Systems Optimization 12
- Electric Power System Optimization 8
- Electric Vehicles and Infrastructure 5
-
- Solar Radiation and Photovoltaics 15
- Co-authors
- Gyeongmin Kim (2 shared papers)Hunyoung Shin (4 shared papers)Sunoh Kim (2 shared papers)Heejin Kim (1 shared paper)Hyunjae Lee (1 shared paper)Kyeon Hur (1 shared paper)Sehyun Kim (1 shared paper)Jaegul Lee (2 shared papers)
- Journals
- Energies (10 papers)Energy (8 papers)IEEE Access (7 papers)Renewable Energy (4 papers)IEEE Transactions on Applied Superconductivity (2 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jin Hur
43 papers receiving 620 citations
Peers
Comparison fields: 5 of 70
- Energy Engineering and Power Technology 73
- Electrical and Electronic Engineering 496
- Automotive Engineering 73
- Renewable Energy, Sustainability and the Environment 84
- Artificial Intelligence 166
Countries citing papers authored by Jin Hur
This map shows the geographic impact of Jin Hur'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 Jin Hur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Hur more than expected).
Fields of papers citing papers by Jin Hur
This network shows the impact of papers produced by Jin Hur. 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 Jin Hur. The network helps show where Jin Hur may publish in the future.
Co-authors
The 17 scholars most cited alongside Jin Hur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 66 | |
| 2 | 2018 | 64 | |
| 3 | 2020 | 36 | |
| 4 | 2023 | 35 | |
| 5 | 2020 | 34 | |
| 6 | 2019 | 33 | |
| 7 | 2021 | 31 | |
| 8 | 2018 | 30 | |
| 9 | 2020 | 28 | |
| 10 | 2021 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 2023 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2017 | 22 | |
| 16 | 2016 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2021 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 9 |
About Jin Hur
Jin Hur is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 47 papers that have together received 644 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (21 papers), Wind Energy Research and Development (16 papers), Solar Radiation and Photovoltaics (15 papers), Integrated Energy Systems Optimization (12 papers), Electric Power System Optimization (8 papers), Power System Reliability and Maintenance (8 papers), Electric Vehicles and Infrastructure (5 papers) and Advanced Battery Technologies Research (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (73 citations), Electrical and Electronic Engineering (496 citations), Automotive Engineering (73 citations), Renewable Energy, Sustainability and the Environment (84 citations) and Artificial Intelligence (166 citations). Jin Hur has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Gyeongmin Kim, Hunyoung Shin, Sunoh Kim, Heejin Kim, Hyunjae Lee, Kyeon Hur, Sehyun Kim, Jaegul Lee, Jongjoo Lee and Ross Baldick. Their work appears in journals such as Energies, Energy, IEEE Access, Renewable Energy and IEEE Transactions on Applied Superconductivity.
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.