Wonwoong Cho: h-index, Total Citations, and Citation Map
Wonwoong Cho's h-index is 5 (5 i10-index, 434+ total citations across 17+ publications) according to Google Scholar as of May 2026. Wonwoong Cho is affiliated with Microsoft.
Wonwoong Cho is a researcher affiliated with Microsoft, specializing in Agentic AI, Multimodal GenAI. Their work has been cited 434 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Wonwoong Cho's Citation Metrics
Bibliometric impact based on 17 indexed publications.
- H-Index
- 5
- i10-Index
- 5
- Total Citations
- 434
- Citing Countries
- 30
As of May 2026.
Wonwoong Cho has an h-index of 5 and 434 total citations across 17 publications, with research cited by institutions in 30 countries.
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Global Impact Map
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Top Cited Works
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Image-to-image translation via group-wise deep whitening-and-coloring transformation
2019201
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
194 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered text-guided image colorization and advanced image-to-image translation through novel transformation and masking techniques, establishing a foundational framework for semantic visual synthesis.
The researcher developed Styleuv, a generative model for creating diverse and high-fidelity UV maps, establishing a foundational approach for texture mapping in 3D computer graphics.
The researcher established a comparative framework for evaluating how different data imputation techniques impact predictive model performance, providing a critical benchmark for handling missing data in machine learning applications.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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