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:
A5123895342
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Min Song (openalex, provider refresh)
- Min Song (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Innovation: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Other: 1 paper
- Employment: 1 paper
- Labor Share: 1 paper
- Wages: 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 |
|---|---|---|---|
| Urban digital infrastructure in China is raising skill premiums by complementing high-skilled labour, increasing demand for skilled workers across both skill-intensive and non-skill-intensive industries; deepening digital capital enables skilled workers to contribute more to output than material capital.openalex | Min Song provider id |
2026-01-26 | 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.