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
4Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5101429260
ORCID evidence
Observed aliases (4)
- Tian, Xuan (openalex, provider refresh)
- Tian, Xuan (openalex, source metadata)
- Xuan Tian (openalex, provider refresh)
- Xuan Tian (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Innovation: 1 paper
Claim outcomes
- Decision Quality: 1 paper
- Firm Revenue: 1 paper
- Governance And Regulation: 1 paper
- Other: 1 paper
- Output Quality: 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 |
|---|---|---|---|
| An AI that listens to expert calls improves startup selection: a model combining LLM-extracted signals with sequential Bayesian updating raises prediction accuracy by 6.7% and boosts backtested portfolio ROI by 15.3%, disproportionately helping young, tech‑intensive, diverse, and low‑visibility startups.openalex | Tian, Xuan provider id |
2025-12-24 | 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.