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Byeungwoo Jeon

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Sungkyunkwan Universityas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0002-5650-2881
OpenAlex ID
A5074587654, A5125630787as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 47
Adaptive keypoint-based CU depth decision for HEVC intra coding, Adaptively determining regularisation parameters in non‐local total variation regularisation for image denoising, Adjacent Superpixel-Based Multiscale Spatial-Spectral Kernel for Hyperspectral Classification, An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation, A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising, A novel subspace spatial-spectral low rank learning method for hyperspectral denoising, A Novel Weighted Cross Total Variation Method for Hyperspectral Image Mixed Denoising, A Privacy-Preserving Handwritten Signature Verification Method Using Combinational Features and Secure KNN +39 more
← Authored by 47
Adaptive keypoint-based CU depth decision for HEVC intra coding, Adaptively determining regularisation parameters in non‐local total variation regularisation for image denoising, Adjacent Superpixel-Based Multiscale Spatial-Spectral Kernel for Hyperspectral Classification, An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation, A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising, A novel subspace spatial-spectral low rank learning method for hyperspectral denoising, A Novel Weighted Cross Total Variation Method for Hyperspectral Image Mixed Denoising, A Privacy-Preserving Handwritten Signature Verification Method Using Combinational Features and Secure KNN +39 more
Affiliated with 1
Sungkyunkwan University
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Summary

Byeungwoo Jeon is a human[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Byeungwoo Jeon. Retrieved October 25, 2026, from https://4ort.xyz/entity/byeungwoo-jeon
MLA “Byeungwoo Jeon.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/byeungwoo-jeon.
BibTeX @misc{4ortxyz_byeungwoo-jeon_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Byeungwoo Jeon}}, year = {2026}, url = {https://4ort.xyz/entity/byeungwoo-jeon}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Byeungwoo Jeon — https://4ort.xyz/entity/byeungwoo-jeon (retrieved 2026-10-25)

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