Dokkyun Yi

431 total citations
20 papers, 301 citations indexed

About

Dokkyun Yi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Dokkyun Yi has authored 20 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Dokkyun Yi's work include Neural Networks and Applications (6 papers), Image and Signal Denoising Methods (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Dokkyun Yi is often cited by papers focused on Neural Networks and Applications (6 papers), Image and Signal Denoising Methods (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Dokkyun Yi collaborates with scholars based in South Korea. Dokkyun Yi's co-authors include Jae-Hyun Ahn, Sungyun Lee, Xiangfan Piao, Jae-Min Kwon, Sang‐Hee Lee, Sang Dong Kim, Kyung‐Soo Kim, Youngsoo Ha, Do‐Hyung Kim and Seokwon Yeom and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis and Applied Mathematics and Computation.

In The Last Decade

Dokkyun Yi

20 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dokkyun Yi South Korea	9	74	64	45	35	22	20	301
Gang Hu China	13	47 0.6×	94 1.5×	36 0.8×	36 1.0×	25 1.1×	36	321
Songyang Zhang United States	10	56 0.8×	85 1.3×	66 1.5×	55 1.6×	14 0.6×	33	300
Liming Wang China	12	115 1.6×	68 1.1×	45 1.0×	12 0.3×	56 2.5×	83	432
Stephanie Thomas United States	12	30 0.4×	29 0.5×	54 1.2×	17 0.5×	19 0.9×	46	445
Christoph Dalitz Germany	8	150 2.0×	29 0.5×	16 0.4×	22 0.6×	21 1.0×	25	278
Jingbo Zhang China	11	45 0.6×	65 1.0×	57 1.3×	14 0.4×	43 2.0×	63	320
Didier Keymeulen United States	10	95 1.3×	64 1.0×	68 1.5×	8 0.2×	69 3.1×	34	317
Huigang Wang China	11	98 1.3×	53 0.8×	45 1.0×	36 1.0×	31 1.4×	44	435
Marci Hoffman United States	12	80 1.1×	101 1.6×	150 3.3×	99 2.8×	57 2.6×	50	479
Keith D. Copsey United Kingdom	5	56 0.8×	105 1.6×	27 0.6×	19 0.5×	39 1.8×	10	351

Countries citing papers authored by Dokkyun Yi

Since Specialization

Citations

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

Fields of papers citing papers by Dokkyun Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dokkyun Yi. 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 Dokkyun Yi. The network helps show where Dokkyun Yi may publish in the future.

Co-authorship network of co-authors of Dokkyun Yi

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

All Works

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20 of 20 papers shown

Yi, Dokkyun, et al.. (2024). Variations of Training Process in Vanilla Recurrent Neural Network Framework. Neural Network World. 34(2). 73–87. 2 indexed citations

Yi, Dokkyun, et al.. (2022). Robust Deep Support Vector Data Description for Unreliable Data. 124–129. 1 indexed citations

Yi, Dokkyun, et al.. (2021). An Adaptive Optimization Method Based on Learning Rate Schedule for Neural Networks. Applied Sciences. 11(2). 850–850. 2 indexed citations

Yi, Dokkyun, et al.. (2020). A Novel Learning Rate Schedule in Optimization for Neural Networks and It’s Convergence. Symmetry. 12(4). 660–660. 29 indexed citations

Yi, Dokkyun, et al.. (2020). An Effective Optimization Method for Machine Learning Based on ADAM. Applied Sciences. 10(3). 1073–1073. 120 indexed citations

Yi, Dokkyun, et al.. (2020). Analysis of Recurrent Neural Network and Predictions. Symmetry. 12(4). 615–615. 27 indexed citations

Yi, Dokkyun, et al.. (2019). An Enhanced Optimization Scheme Based on Gradient Descent Methods for Machine Learning. Symmetry. 11(7). 942–942. 15 indexed citations

Yi, Dokkyun, et al.. (2019). An Enhanced Algorithm of RNN Using Trend in Time-Series. Symmetry. 11(7). 912–912. 12 indexed citations

Yi, Dokkyun, et al.. (2017). Experimental Study on Image Interpolation for Concealed Object Detection. 30. 501–504. 1 indexed citations

10.

Yi, Dokkyun, et al.. (2017). A mass conservative scheme for solving the Vlasov–Poisson equation using characteristic curve. Journal of Computational and Applied Mathematics. 324. 1–16. 2 indexed citations

11.

Piao, Xiangfan, et al.. (2015). An Iteration Free Backward Semi-Lagrangian Scheme for Guiding Center Problems. SIAM Journal on Numerical Analysis. 53(1). 619–643. 13 indexed citations

12.

Kwon, Jae-Min, et al.. (2014). Development of semi-Lagrangian gyrokinetic code for full-f turbulence simulation in general tokamak geometry. Journal of Computational Physics. 283. 518–540. 17 indexed citations

13.

Yi, Dokkyun, et al.. (2013). An effective method for solving nonlinear equations and its application. Applied Mathematics and Computation. 220. 568–579. 2 indexed citations

14.

Yi, Dokkyun. (2013). An Iterative Scheme for Total Variation-Based Image Denoising. Journal of Scientific Computing. 58(3). 648–671. 2 indexed citations

15.

Lee, Sang‐Hee, et al.. (2011). Characterizing Facial Expressions in Males and Females by Using Branch Length Similarity Entropy. Journal of the Korean Physical Society. 58(2). 377–380. 13 indexed citations

16.

Ha, Youngsoo & Dokkyun Yi. (2009). THE NUMERICAL SOLUTION FOR THE VLASOV EQUATION USING WENO METHODS. 99–102. 3 indexed citations

17.

Yi, Dokkyun, et al.. (2009). Convergence of a fixed point iteration method for the OSV model. Applied Mathematics and Computation. 215(5). 1780–1790. 2 indexed citations

18.

Yi, Dokkyun. (2008). An Algorithm for image removals and decompositions without inverse matrices. Journal of Computational and Applied Mathematics. 225(2). 428–439. 4 indexed citations

19.

Yi, Dokkyun & Sungyun Lee. (2005). Fourth-order partial differential equations for image enhancement. Applied Mathematics and Computation. 175(1). 430–440. 28 indexed citations

20.

Kim, Kyung‐Soo, Dokkyun Yi, & Sungyun Lee. (2004). Mortar method for nonconforming finite elements. Applied Mathematics and Computation. 167(1). 650–669. 6 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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