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Bumshik Lee

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Chosun University, Korea Energy Economics Institute, Korea Institute of Energy Research, Kentech Instruments (United Kingdom), Kentech Corporation (Japan)as 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
0000-0003-2482-1869
OpenAlex ID
A5051083488as 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

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 26
A Frame-Level Constant Bit-Rate Control Using Recursive Bayesian Estimation for Versatile Video Coding, A hybrid super learner ensemble for phishing detection on mobile devices, AMCC-Net: An asymmetric multi-cross convolution for skin lesion segmentation on dermoscopic images, An All-Zero Block Detection Scheme for Low-Complexity HEVC Encoders, A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19), A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI, A Squeeze U-SegNet Architecture Based on Residual Convolution for Brain MRI Segmentation, Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture +18 more
← Authored by 26
A Frame-Level Constant Bit-Rate Control Using Recursive Bayesian Estimation for Versatile Video Coding, A hybrid super learner ensemble for phishing detection on mobile devices, AMCC-Net: An asymmetric multi-cross convolution for skin lesion segmentation on dermoscopic images, An All-Zero Block Detection Scheme for Low-Complexity HEVC Encoders, A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19), A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI, A Squeeze U-SegNet Architecture Based on Residual Convolution for Brain MRI Segmentation, Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture +18 more
Affiliated with 3
LG Group, KAIST, Chosun University
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Summary

Bumshik Lee 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). Bumshik Lee. Retrieved October 25, 2026, from https://4ort.xyz/entity/bumshik-lee
MLA “Bumshik Lee.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/bumshik-lee.
BibTeX @misc{4ortxyz_bumshik-lee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bumshik Lee}}, year = {2026}, url = {https://4ort.xyz/entity/bumshik-lee}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bumshik Lee — https://4ort.xyz/entity/bumshik-lee (retrieved 2026-10-25)

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