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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5129057260
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Yingxin Ma (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Fiscal And Macroeconomic: 1 paper
- Firm Productivity: 1 paper
- Other: 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 |
|---|---|---|---|
| Chinese industries with concentrated AI patenting grew roughly 1.9 percentage points faster after 2010 than low‑AI sectors, with the biggest gains in high‑tech, capital‑ and knowledge‑intensive industries; the effect rises over time and is amplified by R&D, though measurement and endogeneity concerns limit definitive causal claims.openalex | Yingxin Ma provider id |
2026-03-13 | 0 |
Citation observation summary
OpenAlex 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.