Won Bin Kim
Impact in
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- Perovskite Materials and Applications
- Advanced Memory and Neural Computing
- Electrochemical sensors and biosensors
- Thin-Film Transistor Technologies
- Chalcogenide Semiconductor Thin Films
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- 2D Materials and Applications
- Quantum Dots Synthesis And Properties
Papers in
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- Perovskite Materials and Applications 7
- Advanced Memory and Neural Computing 4
- Electrochemical sensors and biosensors 1
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- 2D Materials and Applications 1
- Quantum Dots Synthesis And Properties 1
- Co-authors
- Hyun Suk Jung (13 shared papers)Dong Geon Lee (4 shared papers)Xiaodong Ren (3 shared papers)Gill Sang Han (3 shared papers)Jae Bum Jeon (1 shared paper)Gi Joo Bang (1 shared paper)Pengjun Zhao (1 shared paper)Byeong Jo Kim (1 shared paper)
- Journals
- ACS Applied Materials & Interfaces (4 papers)Chemical Engineering Journal (1 paper)Advanced Materials (1 paper)InfoMat (1 paper)Solar RRL (1 paper)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Won Bin Kim
14 papers receiving 593 citations
Peers
Comparison fields: 5 of 18
- Electrical and Electronic Engineering 525
- Materials Chemistry 73
- Renewable Energy, Sustainability and the Environment 16
- Electronic, Optical and Magnetic Materials 7
- General Materials Science 1
Countries citing papers authored by Won Bin Kim
This map shows the geographic impact of Won Bin 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 Won Bin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Bin Kim more than expected).
Fields of papers citing papers by Won Bin Kim
This network shows the impact of papers produced by Won Bin 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 Won Bin Kim. The network helps show where Won Bin Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Bin 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 | 2018 | 161 | |
| 2 | 2020 | 110 | |
| 3 | 2017 | 65 | |
| 4 | 2021 | 62 | |
| 5 | 2019 | 61 | |
| 6 | 2020 | 48 | |
| 7 | 2019 | 41 | |
| 8 | 2020 | 26 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2017 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 2 |
About Won Bin Kim
Won Bin Kim is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 14 papers that have together received 603 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (7 papers), Advanced Memory and Neural Computing (4 papers), 2D Materials and Applications (1 paper), Quantum Dots Synthesis And Properties (1 paper), Electrochemical sensors and biosensors (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (525 citations), Materials Chemistry (73 citations), Renewable Energy, Sustainability and the Environment (16 citations), Electronic, Optical and Magnetic Materials (7 citations) and General Materials Science (1 citation). Won Bin Kim has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Hyun Suk Jung, Dong Geon Lee, Xiaodong Ren, Gill Sang Han, Jae Bum Jeon, Gi Joo Bang, Pengjun Zhao, Byeong Jo Kim, Jae Myeong Lee and Misuk Cho. Their work appears in journals such as ACS Applied Materials & Interfaces, Chemical Engineering Journal, Advanced Materials, InfoMat and Solar RRL.
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.