Jin Hur

878 citations
49 papers · 663 · h-index 16

Impact in

Papers in

Jin Hur

43 papers receiving 649 citations

Peers

Jin Hur
Comparison fields: 5 of 70
  • Energy Engineering and Power Technology 73
  • Electrical and Electronic Engineering 510
  • Automotive Engineering 74
  • Artificial Intelligence 172
  • Renewable Energy, Sustainability and the Environment 84
Replace Kazem Pourhossein with:
Kazem Pourhossein Iran
M. Carolin Mabel India
Mehmet Kurban Türkiye
Xiqiang Chang China
Bülent Oral Türkiye
Manoel H. N. Marinho Brazil
Jianhua Bai China
Kate Doubleday United States
Emrah Dokur Türkiye
Sergio Martín‐Martínez Spain
Jin Hur relative to Kazem Pourhossein Iran Kazem Pourhossein's profile →
Citations per field
00.5×3.3×
Kazem Pourhossein · 1×
Citations per year

Countries citing papers authored by Jin Hur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 19 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.

Border = papers with Jin Hur Line = papers co-authored together Jin Hur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201866
2 201865
3 202339
4 202036
5 202034
6 201933
7 202133
8 201831
9 202329
10 202028
11 202127
12 202026
13 201826
14 201826
15 201722
16 201616
17 201715
18 202112
19 202110
20 20229

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 49 papers that have together received 663 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (22 papers), Wind Energy Research and Development (16 papers), Solar Radiation and Photovoltaics (15 papers), Integrated Energy Systems Optimization (12 papers), Power System Reliability and Maintenance (9 papers), Electric Power System Optimization (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 (510 citations), Automotive Engineering (74 citations), Artificial Intelligence (172 citations) and Renewable Energy, Sustainability and the Environment (84 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, Kyeon Hur, Heejin Kim, Sehyun Kim, Hyunjae Lee, Jaegul Lee, Jongjoo Lee and Yebin Lee. Their work appears in journals such as Energies, Energy, IEEE Access, Renewable Energy and Thermal Science and Engineering Progress.

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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