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:
A5008893912
ORCID evidence
Observed aliases (1)
- Hui Liang (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Inequality: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Wages: 1 paper
- Firm Productivity: 1 paper
- Inequality: 1 paper
- Innovation Output: 1 paper
- Job Displacement: 1 paper
- Labor Share: 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 |
|---|---|---|---|
| AI development at Chinese listed firms widens wage gaps: firms with more AI-related patents exhibit higher skill premiums and lower labor income shares, with stronger effects in non-state firms, more digitalized firms, and less concentrated industries.openalex | Hui Liang orcid |
2026-05-02 | 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.