Sang‐Bock Cho

49 papers receiving 302 citations

Peers

Sang‐Bock Cho
Comparison fields: 5 of 56
  • Electrical and Electronic Engineering 178
  • Materials Chemistry 103
  • Electronic, Optical and Magnetic Materials 67
  • Computer Vision and Pattern Recognition 59
  • Biomedical Engineering 38
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Claudiu Lung Romania
Jong-Pil Kim South Korea
Gerard McVicker United States
Jan Doutreloigne Belgium
C. H. Yu Taiwan
Taeyoung Kim United States
Víctor M. López Spain
Ryan Prosser United Kingdom
Seungtaek Jeong South Korea
Liang Deng China
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Citations per field
00.5×1.7×
Claudiu Lung · 1×
Citations per year

Countries citing papers authored by Sang‐Bock Cho

Since Specialization
Citations

This map shows the geographic impact of Sang‐Bock Cho'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 Sang‐Bock Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Bock Cho more than expected).

Fields of papers citing papers by Sang‐Bock Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Bock Cho. 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 Sang‐Bock Cho. The network helps show where Sang‐Bock Cho may publish in the future.

Co-authorship network of co-authors of Sang‐Bock Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Bock Cho. A scholar is included among the top collaborators of Sang‐Bock Cho 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 Sang‐Bock Cho. Sang‐Bock Cho 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
#WorkIndexed citations
1 34
2 1
3 36
4 3
5 4
6 1
7 9
8
Super-Resolution Algorithm Using Motion Estimation for Moving Vehicles
0
9 5
10 2
11
A New Method Using Geometric Invariability for Lens Distortion Correction
2
12
Lane Detection Algorithm using Morphology and Color Information
3
13
Synthesis of the Dan Trahn Based on a Parameter Extraction System
5
14
Super Resolution Image Reconstruction based on Local Gradient and Median Filter
0
15 17
16 17
17
Advanced Block Matching Algorithm for Motion Estimation and Motion Compensation
0
18 8
19
Multichannel Transimpedance Amplifier Away in a $0.35\mu m$ CMOS Technology for Optical Communication Applications
0
20
FPGA Implementation of a 3/spl times/3 window median filter based on a new efficient bit-serial sorting algorithm
7

About Sang‐Bock Cho

Sang‐Bock Cho is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Automotive Engineering, having authored 56 papers that have together received 318 indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (13 papers), 3D IC and TSV technologies (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (67 citations), Hardware and Architecture (23 citations) and Electrical and Electronic Engineering (178 citations). Sang‐Bock Cho has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jin Soo Kim, Jung Hyun Jeong, Byung Chun Choi, Saikat Mondal, Hyun Kyoung Yang, Ill Won Kim, Jae‐Hyun Cho, Jaehyun Cho, Kwang-Sei Lee and Sung Min Park. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Electronics Letters and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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