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 →
2Distinct papers
4Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2081082776
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Bingnan Guo (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Innovation: 2 papers
- Governance: 1 paper
Claim outcomes
- Other: 1 paper
- Organizational Efficiency: 1 paper
- Governance And Regulation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Industrial robots strengthen Chinese cities' ability to withstand energy shocks, chiefly by modernising industry and boosting green innovation; the resilience gains are larger in cities with stricter environmental rules and higher science budgets.openalex | Bingnan Guo provider id |
2026-03-21 | 4 |
| AI adoption in Chinese cities is associated with measurable cuts in pollution and carbon emissions (estimated coefficient -0.026), working through improved energy efficiency, industrial restructuring and more green innovation; effects are strongest in some inland and Beijing–Tianjin–Hebei agglomerations and weaker or insignificant in major coastal manufacturing regions.openalex | Bingnan Guo provider id |
2026-01-13 | 7 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 11 cumulative citations. This is a coverage summary, not an author score or h-index.