Hoseong Kim
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- Advanced MEMS and NEMS Technologies 5
- Energy Harvesting in Wireless Networks 4
- Advanced Battery Materials and Technologies 4
- Automotive Engineering top 10%
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- Fiscal Policy and Economic Growth 6
- Economic Growth and Productivity 4
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- Income, Poverty, and Inequality 6
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- Domain Adaptation and Few-Shot Learning 5
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- Innovative Energy Harvesting Technologies 5
Hoseong Kim
41 papers receiving 655 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 419
- Electronic, Optical and Magnetic Materials 114
- Automotive Engineering 63
- Materials Chemistry 187
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Hoseong Kim
This map shows the geographic impact of Hoseong Kim'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 Hoseong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoseong Kim more than expected).
Fields of papers citing papers by Hoseong Kim
This network shows the impact of papers produced by Hoseong Kim. 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 Hoseong Kim. The network helps show where Hoseong Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hoseong Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | Revisiting Lithium‐ and Sodium‐Ion Storage in Hard Carbon Anodesbreakdown → | 2023 | 178 |
| 5 | 2023 | 1 | |
| 6 | 2022 | 22 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 35 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 14 | |
| 11 | 2021 | 7 | |
| 12 | 2018 | 1 | |
| 13 | 2013 | 11 | |
| 14 | 2011 | 7 | |
| 15 | 2011 | 18 | |
| 16 | 2010 | 4 | |
| 17 | Minimum Wages and Poverty: An Evaluation of Policy Alternatives | 2005 | 5 |
| 18 | 2001 | 2 | |
| 19 | 2000 | 6 | |
| 20 | 1999 | 1 |
About Hoseong Kim
Hoseong Kim is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Instrumentation, Artificial Intelligence and Economics and Econometrics, having authored 46 papers that have together received 676 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (6 papers), Income, Poverty, and Inequality (6 papers), Advanced MEMS and NEMS Technologies (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Innovative Energy Harvesting Technologies (5 papers), Energy Harvesting in Wireless Networks (4 papers), Economic Growth and Productivity (4 papers) and Advanced Battery Materials and Technologies (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (419 citations), Electronic, Optical and Magnetic Materials (114 citations), Automotive Engineering (63 citations), Materials Chemistry (187 citations) and Computer Vision and Pattern Recognition (68 citations). Hoseong Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jin Seung Lee, Jung Sang Suh, Hyoung‐Joon Jin, Young Soo Yun, Geun Hoi Gu, Kyungjin Park, Kwang Seok Jeong, Hyeran Byun, Jaewon Choi and Jin Bae Lee. Their work appears in journals such as Neurocomputing, Optical Engineering, Synthetic Metals, Applied Surface Science and IEEE Transactions on Consumer Electronics.
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.