Sung Hyun Han
- Polymers and Plastics top 10%
- Polymer crystallization and properties 8
- Organic Chemistry top 10%
- Advanced Polymer Synthesis and Characterization 14
- Surfaces, Coatings and Films top 10%
- Materials Chemistry top 10%
- Block Copolymer Self-Assembly 14
- Machine Learning in Materials Science 4
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- Advanced Vision and Imaging 8
- Optical measurement and interference techniques 4
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- Image Processing Techniques and Applications 5
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- Robotics and Sensor-Based Localization 5
Sung Hyun Han
36 papers receiving 939 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Polymers and Plastics 196
- Organic Chemistry 317
- Surfaces, Coatings and Films 75
- Materials Chemistry 486
- Electronic, Optical and Magnetic Materials 145
Countries citing papers authored by Sung Hyun Han
This map shows the geographic impact of Sung Hyun 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 Sung Hyun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Hyun Han more than expected).
Fields of papers citing papers by Sung Hyun Han
This network shows the impact of papers produced by Sung Hyun 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 Sung Hyun Han. The network helps show where Sung Hyun Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung Hyun 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 | Metasurface-driven OLED displays beyond 10,000 pixels per inchbreakdown → | 2020 | 308 |
| 2 | 2017 | 25 | |
| 3 | 2017 | 23 | |
| 4 | Geometric Relationship between Stereo Disparity and Optical Flow and an Efficient Recursive Algorithm | 2016 | 1 |
| 5 | 2015 | 32 | |
| 6 | 2013 | 5 | |
| 7 | 2012 | 27 | |
| 8 | Analysis of a crab robot based on Jansen mechanism | 2011 | 5 |
| 9 | 2010 | 1 | |
| 10 | 2009 | 12 | |
| 11 | 2009 | 11 | |
| 12 | 2003 | 15 | |
| 13 | Real Time Implementation of Visual Servoing Control For Dual-Arm Robot Manipulator | 2003 | 2 |
| 14 | 2003 | 34 | |
| 15 | 2002 | 33 | |
| 16 | 2002 | 8 | |
| 17 | 2002 | 2 | |
| 18 | 2001 | 1 | |
| 19 | Design of a DSP-Based Adaptive Controller for Real Time Dynamic Conrol of AMI Robot | 1998 | 0 |
| 20 | Development of Robust Adaptive Control Algorithm for Dynamic Control of a AMI Robot | 1998 | 0 |
About Sung Hyun Han
Sung Hyun Han is a scholar working on Polymers and Plastics, Media Technology and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 970 indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (14 papers), Block Copolymer Self-Assembly (14 papers), Advanced Vision and Imaging (8 papers), Polymer crystallization and properties (8 papers), Image Processing Techniques and Applications (5 papers), Robotics and Sensor-Based Localization (5 papers), Machine Learning in Materials Science (4 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Polymers and Plastics (196 citations), Organic Chemistry (317 citations) and Surfaces, Coatings and Films (75 citations). Sung Hyun Han has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jin Kon Kim, Victor Pryamitsyn, Venkat Ganesan, Dong Hyun Lee, Jongheon Kwak, Weibin Zha, Seok Ho Song, Sunjin Song, Young‐Nam Kwon and Sungwoo Hwang. Their work appears in journals such as Macromolecules, Polymer, IEEE Transactions on Industrial Electronics, ACS Nano and Science.
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.