David K. Han
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Speech and Audio Processing 39
- Music and Audio Processing 33
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- Video Surveillance and Tracking Methods 18
- Image Enhancement Techniques 17
- Advanced Image Processing Techniques 15
- Advanced Vision and Imaging 12
- Co-authors
- Hanseok KoMin Jae KimBonhwa KuSungmin EumJohn G. RogersMaggie WignessHeesung KwonWooil Kim
- Journals
- Pattern Recognition Letters (5 papers)IEEE Transactions on Consumer Electronics (4 papers)IEEE Access (3 papers)Applied Acoustics (3 papers)IEEE Signal Processing Letters (3 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
David K. Han
99 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 906
- Media Technology 388
- Signal Processing 289
- Human-Computer Interaction 138
- Developmental Biology 22
Countries citing papers authored by David K. Han
This map shows the geographic impact of David K. Han'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 David K. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Han more than expected).
Fields of papers citing papers by David K. Han
This network shows the impact of papers produced by David K. Han. 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 David K. Han. The network helps show where David K. Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David K. Han, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 87 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 42 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 42 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 2 | |
| 16 | 2015 | 4 | |
| 17 | 2013 | 20 | |
| 18 | 2013 | 9 | |
| 19 | 2012 | 4 | |
| 20 | Motion primitives for designing flexible gesture set in Human-Robot Interface | 2011 | 3 |
About David K. Han
David K. Han is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction and Artificial Intelligence, having authored 103 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech and Audio Processing (39 papers), Music and Audio Processing (33 papers), Video Surveillance and Tracking Methods (18 papers), Image Enhancement Techniques (17 papers), Speech Recognition and Synthesis (15 papers), Advanced Image Processing Techniques (15 papers), Advanced Vision and Imaging (12 papers) and Advanced Image Fusion Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (906 citations), Media Technology (388 citations), Signal Processing (289 citations), Human-Computer Interaction (138 citations) and Developmental Biology (22 citations). David K. Han has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Hanseok Ko, Min Jae Kim, Bonhwa Ku, Sungmin Eum, John G. Rogers, Maggie Wigness, Heesung Kwon, Wooil Kim, Suwon Shon and Gwantae Kim. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Consumer Electronics, IEEE Access, Applied Acoustics and IEEE Signal Processing Letters.
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.