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
3Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
102799045
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Xianping Gu (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Innovation: 1 paper
- Org Design: 1 paper
Claim outcomes
- Innovation Output: 1 paper
- Other: 1 paper
- Firm Revenue: 1 paper
- Market Structure: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| A new high‑precision patent classifier shows AI patenting has surged and converged in the U.S. and China, with China recently overtaking the U.S. in annual counts; however, the U.S. remains concentrated in large private incumbents and hubs while China’s AI patenting is more diffuse and university/SOE‑led. AI patents are associated with a substantial market‑value premium in both countries, and cross‑border citations point to continued technological interdependence rather than decoupling.arxiv | Xianping Gu provider id |
2026-04-12 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.