Sung‐Il Chien
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Co-authors
- Dong-Su KimHeung‐Sik TaeSoon-Yong ParkMuthu Subash KavithaIncheol KimMin-Suk HeoTakio KuritaDong Ho Lee
- Topics
- Color Science and Applications (19 papers)Plasma Diagnostics and Applications (15 papers)Image Enhancement Techniques (14 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sung‐Il Chien
66 papers receiving 522 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 265
- Electrical and Electronic Engineering 124
- Media Technology 119
- Biomedical Engineering 66
- Atomic and Molecular Physics, and Optics 59
Countries citing papers authored by Sung‐Il Chien
This map shows the geographic impact of Sung‐Il Chien'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‐Il Chien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Il Chien more than expected).
Fields of papers citing papers by Sung‐Il Chien
This network shows the impact of papers produced by Sung‐Il Chien. 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‐Il Chien. The network helps show where Sung‐Il Chien may publish in the future.
Co-authorship network of co-authors of Sung‐Il Chien
This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Il Chien. A scholar is included among the top collaborators of Sung‐Il Chien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sung‐Il Chien. Sung‐Il Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | 25 | |
| 4 | 3 | |
| 5 | 36 | |
| 6 | Edge Enhancement of Halftone Image using Adaptive Error Diffusion Method | 1 |
| 7 | 2 | |
| 8 | 28 | |
| 9 | 10 | |
| 10 | 3D Human Whole Body Construction by Contour Triangulation | 1 |
| 11 | Bipolar Scan Waveform for Fast Address in AC Plasma Display Panel | 3 |
| 12 | 7 | |
| 13 | Face Detection Using Scan-Line Based Hough Transform and MLP. | 1 |
| 14 | Run representation based minutiae extraction in fingerprint image | 3 |
| 15 | Correction and Extraction of Perspectively Distorted License Plates Using Scan Line Based Generalized Symmetry Transform | 1 |
| 16 | 1 | |
| 17 | 9 | |
| 18 | SOM-MLP Multi-Layered Neural Network with False-Alarming Nodes for Large Scale Pattern Recognition | 1 |
| 19 | Analog and Digital Meter Recognition Using Computer Vision. | 1 |
| 20 | 2 |
About Sung‐Il Chien
Sung‐Il Chien is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 77 papers that have together received 555 indexed citations. Recurring topics across this work include Color Science and Applications (19 papers), Plasma Diagnostics and Applications (15 papers) and Image Enhancement Techniques (14 papers). The work is most often cited by research in Media Technology (119 citations), Computer Vision and Pattern Recognition (265 citations) and Health Informatics (10 citations). Sung‐Il Chien has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dong-Su Kim, Heung‐Sik Tae, Soon-Yong Park, Muthu Subash Kavitha, Incheol Kim, Min-Suk Heo, Takio Kurita, Dong Ho Lee, Bhum Jae Shin and Byeong‐Cheol Ahn. Their work appears in journals such as Applied Physics Letters, PLoS ONE 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.