Sung‐Il Chien

808 total citations
77 papers, 555 citations indexed

About

Sung‐Il Chien is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sung‐Il Chien has authored 77 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 29 papers in Electrical and Electronic Engineering and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Sung‐Il Chien's work include Color Science and Applications (19 papers), Plasma Diagnostics and Applications (15 papers) and Image Enhancement Techniques (14 papers). Sung‐Il Chien is often cited by papers focused on Color Science and Applications (19 papers), Plasma Diagnostics and Applications (15 papers) and Image Enhancement Techniques (14 papers). Sung‐Il Chien collaborates with scholars based in South Korea, United States and Japan. Sung‐Il Chien's 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 and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and IEEE Access.

In The Last Decade

Sung‐Il Chien

66 papers receiving 522 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sung‐Il Chien South Korea 12 265 124 119 66 59 77 555
Wonjun Hwang South Korea 17 460 1.7× 96 0.8× 55 0.5× 297 4.5× 15 0.3× 65 1.1k
Liping Zhang China 14 132 0.5× 59 0.5× 74 0.6× 215 3.3× 47 0.8× 49 477
Hao Yi China 14 353 1.3× 269 2.2× 22 0.2× 150 2.3× 102 1.7× 53 1.0k
S. Inokuchi Japan 13 416 1.6× 89 0.7× 85 0.7× 62 0.9× 89 1.5× 62 675
Matthias Rüther Austria 15 352 1.3× 124 1.0× 131 1.1× 359 5.4× 276 4.7× 47 971
Ji Ge China 13 216 0.8× 91 0.7× 101 0.8× 142 2.2× 97 1.6× 31 586
Matthew J. Everett United States 13 149 0.6× 87 0.7× 41 0.3× 575 8.7× 56 0.9× 25 948
Chunman Yan China 8 87 0.3× 124 1.0× 26 0.2× 153 2.3× 16 0.3× 47 359
Wen‐Yuan Chen Taiwan 19 394 1.5× 114 0.9× 58 0.5× 47 0.7× 35 0.6× 72 722

Countries citing papers authored by Sung‐Il Chien

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kim, Dong Ha, Choon‐Sang Park, Eun Young Jung, et al.. (2018). Experimental study on atmospheric pressure plasma polymerized conducting polymer under coupling and remote conditions. Molecular Crystals and Liquid Crystals. 663(1). 108–114. 6 indexed citations
2.
Kavitha, Muthu Subash, Takio Kurita, Soon-Yong Park, et al.. (2017). Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells. PLoS ONE. 12(12). e0189974–e0189974. 34 indexed citations
3.
Kavitha, Muthu Subash, Soon-Yong Park, Min-Suk Heo, & Sung‐Il Chien. (2016). Distributional Variations in the Quantitative Cortical and Trabecular Bone Radiographic Measurements of Mandible, between Male and Female Populations of Korea, and its Utilization. PLoS ONE. 11(12). e0167992–e0167992. 25 indexed citations
4.
Nam, Seung‐Woo, et al.. (2016). Hole-Filling Methods Using Depth and Color Information for Generating Multiview Images. ETRI Journal. 38(5). 996–1007. 3 indexed citations
5.
Kavitha, Muthu Subash, Soon-Yong Park, Kyung‐Hoe Huh, et al.. (2016). Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches. Dentomaxillofacial Radiology. 45(7). 20160076–20160076. 36 indexed citations
6.
Kim, Sang‐Chul & Sung‐Il Chien. (2011). Edge Enhancement of Halftone Image using Adaptive Error Diffusion Method. Journal of the Institute of Electronics Engineers of Korea. 48(6). 96–104. 1 indexed citations
7.
Chien, Sung‐Il, et al.. (2011). Preferred Skin Color Reproduction Based on Y-Dependent Gaussian Modeling of Skin Color. Journal of Imaging Science and Technology. 55(4). 40504–1. 2 indexed citations
8.
Chien, Sung‐Il, et al.. (2007). Skin Color Detection through Estimation and Conversion of Illuminant Color Under Various Illuminations. IEEE Transactions on Consumer Electronics. 53(3). 1103–1108. 28 indexed citations
9.
Chien, Sung‐Il, et al.. (2005). Improvement of low gray-level linearity using perceived luminance of human visual system in PDP-TV. IEEE Transactions on Consumer Electronics. 51(1). 204–209. 10 indexed citations
10.
Choi, Young, et al.. (2004). 3D Human Whole Body Construction by Contour Triangulation. IEICE Transactions on Information and Systems. 87(1). 233–243. 1 indexed citations
11.
Tae, Heung‐Sik, et al.. (2004). Bipolar Scan Waveform for Fast Address in AC Plasma Display Panel. IEICE Transactions on Electronics. 87(1). 116–119. 3 indexed citations
12.
Chien, Sung‐Il, et al.. (2004). Reduction of low gray-level contours using error diffusion based on emission characteristics of PDP. IEEE Transactions on Consumer Electronics. 50(2). 401–406. 7 indexed citations
13.
Chien, Sung‐Il, et al.. (2002). Face Detection Using Scan-Line Based Hough Transform and MLP.. Machine Vision and Applications. 314–317. 1 indexed citations
14.
Chien, Sung‐Il, et al.. (2002). Run representation based minutiae extraction in fingerprint image. 64–67. 3 indexed citations
15.
Kim, Dongsu, et al.. (2002). Correction and Extraction of Perspectively Distorted License Plates Using Scan Line Based Generalized Symmetry Transform. IEICE Transactions on Information and Systems. 85(11). 1776–1783. 1 indexed citations
16.
Kim, Incheol & Sung‐Il Chien. (2002). Speed-up of error backpropagation algorithm with class-selective relevance. Neurocomputing. 48(1-4). 1009–1014. 1 indexed citations
17.
Tae, Heung‐Sik, et al.. (2002). Improvement of low gray scale linearity using multi-luminance-level subfield method in plasma display panel. IEEE Transactions on Consumer Electronics. 48(3). 377–381. 9 indexed citations
18.
Chien, Sung‐Il, et al.. (1999). SOM-MLP Multi-Layered Neural Network with False-Alarming Nodes for Large Scale Pattern Recognition. 4(2). 232–238. 1 indexed citations
19.
Kim, Kyong-Ho, Sung‐Il Chien, Yongbum Lee, & Kwangsoo Kim. (1996). Analog and Digital Meter Recognition Using Computer Vision.. Machine Vision and Applications. 51–54. 1 indexed citations
20.
Chien, Sung‐Il, et al.. (1991). Multiclass 3-D aircraft identification and orientation estimation using multilayer feedforward neural network. 758–764 vol.1. 2 indexed citations

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.

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