Beom Jin Kim
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- Advanced Memory and Neural Computing 3
- Perovskite Materials and Applications 2
- Polymers and Plastics top 10%
- Conducting polymers and applications 3
- Artificial Intelligence top 10%
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- Stochastic processes and financial applications 4
- Financial Risk and Volatility Modeling 2
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- Advanced Sensor and Energy Harvesting Materials 4
- Nanowire Synthesis and Applications 2
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- 2D Materials and Applications 3
- Co-authors
- Jong‐Hyun AhnJiewei ChenTianqing WanYang ChaiZheng ZhouJinfeng KangYue ZhouAnh Tuấn Hoàng
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- Advanced Materials (1 paper)SHILAP Revista de lepidopterología (1 paper)ACS Nano (2 papers)
- Partner nations
- South KoreaChinaHong Kong
In The Last Decade
Beom Jin Kim
16 papers receiving 986 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 266
- Electrical and Electronic Engineering 745
- Polymers and Plastics 154
- Acoustics and Ultrasonics 7
- Artificial Intelligence 182
Countries citing papers authored by Beom Jin Kim
This map shows the geographic impact of Beom Jin 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 Beom Jin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beom Jin Kim more than expected).
Fields of papers citing papers by Beom Jin Kim
This network shows the impact of papers produced by Beom Jin 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 Beom Jin Kim. The network helps show where Beom Jin Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beom Jin 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 | 0 | |
| 2 | 2024 | 13 | |
| 3 | Optoelectronic graded neurons for bioinspired in-sensor motion perceptionbreakdown → | 2023 | 273 |
| 4 | 2023 | 16 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 36 | |
| 7 | 2023 | 49 | |
| 8 | Bioinspired in-sensor visual adaptation for accurate perceptionbreakdown → | 2022 | 450 |
| 9 | 2022 | 20 | |
| 10 | 2021 | 84 | |
| 11 | Parameter Optimization Analysis in Urban Flood Simulation by Applying 1D-2D Coupled Hydraulic Model | 2017 | 4 |
| 12 | 2017 | 2 | |
| 13 | 2016 | 9 | |
| 14 | 2013 | 7 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 12 | |
| 17 | 2012 | 8 |
About Beom Jin Kim
Beom Jin Kim is a scholar working on Finance, Polymers and Plastics and Numerical Analysis, having authored 17 papers that have together received 1000 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Advanced Memory and Neural Computing (3 papers), 2D Materials and Applications (3 papers), Conducting polymers and applications (3 papers), Perovskite Materials and Applications (2 papers), Financial Risk and Volatility Modeling (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (266 citations), Electrical and Electronic Engineering (745 citations) and Polymers and Plastics (154 citations). Beom Jin Kim has collaborated with scholars based in South Korea, China and Hong Kong. Frequent co-authors include Jong‐Hyun Ahn, Jiewei Chen, Tianqing Wan, Yang Chai, Zheng Zhou, Jinfeng Kang, Yue Zhou, Anh Tuấn Hoàng, Fuyou Liao and Jingli Wang. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.
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.