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
6Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5134200113
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Md. Mehedi Hasan (openalex, provider refresh)
- Md. Mehedi Hasan (openalex, source metadata)
- Mehedi Hasan (openalex, provider refresh)
- Mehedi Hasan (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Fiscal And Macroeconomic: 1 paper
- Other: 1 paper
- Governance And Regulation: 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 innovation is linked to long-run declines in U.S. CO2 emissions, implying efficiency and optimization effects can outweigh scale pressures; but continued economic growth, energy use, foreign investment and urbanization keep upward pressure on emissions, highlighting the need for complementary energy and industrial policies.openalex | Md. Mehedi Hasan provider id |
2025-12-30 | 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.