Hyun Kim
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- Advanced Neural Network Applications 53
- Advanced Image and Video Retrieval Techniques 14
- Advanced Data Compression Techniques 8
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 19
- Media Technology top 5%
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 19
- Instrumentation top 10%
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- Video Coding and Compression Technologies 14
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- Advanced Memory and Neural Computing 13
- CCD and CMOS Imaging Sensors 8
- Co-authors
- Hyuk‐Jae LeeDuy Thanh NguyenTuan Nghia NguyenYeonho LeeDohyung KimIk‐Joon ChangJi-Woong ChoiMoon-Soo Kim
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Hyun Kim
107 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 812
- Hardware and Architecture 158
- Media Technology 99
- Artificial Intelligence 308
- Instrumentation 31
Countries citing papers authored by Hyun Kim
This map shows the geographic impact of Hyun 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 Hyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun Kim more than expected).
Fields of papers citing papers by Hyun Kim
This network shows the impact of papers produced by Hyun 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 Hyun Kim. The network helps show where Hyun Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyun 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 | 2025 | 0 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 35 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 34 | |
| 15 | A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detectionbreakdown → | 2019 | 323 |
| 16 | 2018 | 7 | |
| 17 | 2018 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2018 | 6 | |
| 20 | 2017 | 24 |
About Hyun Kim
Hyun Kim is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Instrumentation, having authored 128 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (53 papers), Domain Adaptation and Few-Shot Learning (19 papers), Parallel Computing and Optimization Techniques (19 papers), Video Coding and Compression Technologies (14 papers), Advanced Image and Video Retrieval Techniques (14 papers), Advanced Memory and Neural Computing (13 papers), Advanced Data Compression Techniques (8 papers) and CCD and CMOS Imaging Sensors (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (812 citations), Hardware and Architecture (158 citations) and Media Technology (99 citations). Hyun Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Hyuk‐Jae Lee, Duy Thanh Nguyen, Tuan Nghia Nguyen, Yeonho Lee, Dohyung Kim, Ik‐Joon Chang, Ji-Woong Choi, Moon-Soo Kim, Wooshik Kim and Chang-Joo Kim. Their work appears in journals such as PLoS ONE, Optics Express and IEEE Access.
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.