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:
A5110118227
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Shawn Wang (openalex, provider refresh)
- Shawn Wang (openalex, source metadata)
- Shuailong Wang (openalex, provider refresh)
- Shuailong Wang (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Other: 1 paper
- Automation Exposure: 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’s environmental impact in Chinese cities follows an inverted U: early AI expansion tends to raise carbon intensity, but after a maturity threshold AI adoption lowers emissions — yet by 2020 most cities remained on the emission-increasing side. The effect operates via energy use, green innovation and industrial upgrading and spills across neighbouring cities.openalex | Shuailong Wang provider id |
2026-08-05 | 2 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 2 cumulative citations. This is a coverage summary, not an author score or h-index.