Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5003716306
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- D. Choi (openalex, provider refresh)
- D. Choi (openalex, source metadata)
- Deungho Choi (openalex, provider refresh)
- Deungho Choi (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Innovation: 1 paper
- Org Design: 1 paper
Claim outcomes
- Output Quality: 1 paper
- Innovation Output: 1 paper
- Organizational Efficiency: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| University–industry AI patents in Korea are not inherently better — only firms with strong R&D and deeper, experienced collaborations convert academic ties into higher-quality patents, with absorptive capacity reducing the harms of technological distance.openalex | Deungho Choi provider id |
2025-12-29 | 2 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 2 cumulative citations. This is a coverage summary, not an author score or h-index.