Eui-Young Cha

491 total citations
34 papers, 321 citations indexed

About

Eui-Young Cha is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Eui-Young Cha has authored 34 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Eui-Young Cha's work include Face recognition and analysis (5 papers), Handwritten Text Recognition Techniques (4 papers) and Face and Expression Recognition (4 papers). Eui-Young Cha is often cited by papers focused on Face recognition and analysis (5 papers), Handwritten Text Recognition Techniques (4 papers) and Face and Expression Recognition (4 papers). Eui-Young Cha collaborates with scholars based in South Korea and New Zealand. Eui-Young Cha's co-authors include Chunlin Jin, Kwang-Baek Kim, Jaeyeon Lee, Dohyung Kim, Hosub Yoon, Tae‐Soo Chon, Ihn–Sil Kwak, Byongjo Yun, Dohyeon Kim and Hyun Jun Park and has published in prestigious journals such as Ecological Modelling, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Eui-Young Cha

32 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eui-Young Cha South Korea	10	153	39	35	33	28	34	321
Rob Bogue	3	193 1.3×	27 0.7×	12 0.3×	49 1.5×	22 0.8×	12	357
Flávio Luis Cardeal Pádua Brazil	11	259 1.7×	46 1.2×	30 0.9×	50 1.5×	27 1.0×	37	414
Lv Tang China	9	265 1.7×	53 1.4×	14 0.4×	29 0.9×	28 1.0×	28	382
Ze Zhang China	9	75 0.5×	37 0.9×	11 0.3×	21 0.6×	32 1.1×	46	250
Moataz M. Abdelwahab Egypt	10	259 1.7×	56 1.4×	18 0.5×	46 1.4×	9 0.3×	45	502
Hao Ma China	7	106 0.7×	37 0.9×	60 1.7×	60 1.8×	13 0.5×	32	359
Baofeng Zhang China	12	130 0.8×	52 1.3×	49 1.4×	47 1.4×	59 2.1×	69	419
Miroslav Benčo Slovakia	14	292 1.9×	70 1.8×	41 1.2×	45 1.4×	13 0.5×	45	533
Parinya Sanguansat Thailand	10	119 0.8×	83 2.1×	33 0.9×	9 0.3×	17 0.6×	45	368
Esteban Vázquez-Fernández Spain	6	184 1.2×	23 0.6×	128 3.7×	39 1.2×	21 0.8×	11	325

Countries citing papers authored by Eui-Young Cha

Since Specialization

Citations

This map shows the geographic impact of Eui-Young Cha'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 Eui-Young Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eui-Young Cha more than expected).

Fields of papers citing papers by Eui-Young Cha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eui-Young Cha. 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 Eui-Young Cha. The network helps show where Eui-Young Cha may publish in the future.

Co-authorship network of co-authors of Eui-Young Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Eui-Young Cha. A scholar is included among the top collaborators of Eui-Young Cha 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 Eui-Young Cha. Eui-Young Cha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chang, Won-Du, et al.. (2024). Handwritten Signature Generation Using Denoising Diffusion Probabilistic Models with Auxiliary Classification Processes. Applied Sciences. 14(22). 10233–10233. 1 indexed citations

Kim, Mikyung & Eui-Young Cha. (2018). Using Skeleton Vector Information and RNN Learning Behavior Recognition Algorithm. Journal of Broadcast Engineering. 23(5). 598–605. 3 indexed citations

Cha, Eui-Young, et al.. (2017). Image recognition performance enhancements using image normalization. Human-centric Computing and Information Sciences. 7(1). 47 indexed citations

Kim, Kwang-Baek, et al.. (2016). An Improved Adaptive Binarization Algorithm Based on Fuzzy Logic. International Journal of Software Engineering and Its Applications. 10(10). 1–8. 2 indexed citations

Park, Hyun Jun, Kwang-Baek Kim, & Eui-Young Cha. (2016). An Effective Color Quantization Method Using Octree-Based Self-Organizing Maps. Computational Intelligence and Neuroscience. 2016. 1–11. 9 indexed citations

Cha, Eui-Young, et al.. (2015). Impulse Noise Filter for Beacon-AP Signal Processing in Real Time. Journal of Cryptology. 6(4). 1–7. 8 indexed citations

Park, Hyun, Kwang J. Kim, & Eui-Young Cha. (2015). A New Approach to Locate the Gallbladder from Ultrasound Image Using Intensity Stretching and SOM-based Color Quantization. Current Medical Imaging Formerly Current Medical Imaging Reviews. 11(1). 63–68. 1 indexed citations

Kim, Kwang-Baek, et al.. (2013). Color Inference Using an Enhanced Fuzzy Method. International Journal of Multimedia and Ubiquitous Engineering. 8(5). 313–324. 2 indexed citations

Cha, Eui-Young, et al.. (2012). A Novel Container ISO-Code Recognition Method using Texture Clustering with a Spatial Structure Window. International Journal of Advanced Science and Technology. 41. 83–92. 9 indexed citations

10.

Shin, Bok-Suk, et al.. (2010). Effective Feature Extraction by Trace Transform for Insect Footprint Recognition. Journal of Computational and Theoretical Nanoscience. 7(5). 868–875. 5 indexed citations

11.

Cha, Eui-Young, et al.. (2010). Real-time container position estimation method using stereo vision for container auto-landing system. ICCAS 2010. 16 indexed citations

12.

Cha, Eui-Young, et al.. (2009). Weighted cost aggregation approach for depth extraction of stereo images. The Journal of the Korean Institute of Information and Communication Engineering. 13(6). 1194–1199. 1 indexed citations

13.

Kim, Do-Hyeon & Eui-Young Cha. (2008). License Plate Extraction Using Gray Labeling and fuzzy Membership Function. The Journal of the Korean Institute of Information and Communication Engineering. 12(8). 1495–1504. 1 indexed citations

14.

Kim, Dohyeon, et al.. (2007). Contrast Enhancement Technique by Intensity Surface Stretching. The Journal of the Korean Institute of Information and Communication Engineering. 11(12). 2398–2405. 1 indexed citations

15.

Do, Younghae, et al.. (2007). Detecting response behaviors of Medaka after the treatments of heavy metal in the boundary areas. 3(2). 39–39. 2 indexed citations

16.

Kwak, Ihn–Sil, et al.. (2006). Implementation of wavelets and artificial neural networks to detection of toxic response behavior of chironomids (Chironomidae: Diptera) for water quality monitoring. Ecological Modelling. 195(1-2). 61–71. 30 indexed citations

17.

Kim, Do-Hyeon, Eui-Young Cha, & Kwang-Baek Kim. (2005). Hybrid Neural Classifier Combined with H-ART2 and F-LVQ for Face Recognition. 제어로봇시스템학회 국제학술대회 논문집. 1287–1292. 5 indexed citations

18.

Kim, Do‐Hyung, Jaeyeon Lee, Eui-Young Cha, & Young-Jo Cho. (2005). FACE IDENTIFICATION USING MULTIPLE COMBINATION STRATEGY FOR HUMAN ROBOT INTERACTION. IFAC Proceedings Volumes. 38(1). 1053–1058. 2 indexed citations

19.

Cha, Eui-Young, et al.. (2004). A Study on Digital Color Representation and Management. Journal of Digital Design. 4(1). 85–92. 1 indexed citations

20.

Jin, Chunlin, et al.. (2003). Face Detection in Color Image. 한국정보과학회 학술발표논문집. 30. 559–561. 45 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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