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
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5125151010
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Shiwen Liu (openalex, provider refresh)
- Shiwen Liu (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Fiscal And Macroeconomic: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Other: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| China’s AI readiness and STEM buildup are linked to long-run economic modernization, but they coincide with slower climate-transition progress; digital and industrial upgrading appear emissions-intensive unless paired with targeted energy and governance policies.openalex | Shiwen Liu provider id |
2026-02-18 | 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.