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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5110379309
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Lan Tian (openalex, provider refresh)
- Tian Lan (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
- Org Design: 1 paper
Claim outcomes
- Market Structure: 1 paper
- Governance And Regulation: 1 paper
- Innovation Output: 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 |
|---|---|---|---|
| A theoretical model finds the AI computing-power industry moves through distinct stages—early 'natural monopoly', mid-period 'regulatory stalemate' traps, and a mature phase of co-opetition—shaped by downstream vertical integration and incumbents' choice to open interfaces, suggesting time-varying, targeted antitrust interventions are required.openalex | Tian Lan provider id |
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.