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
0/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5150026904
ORCID evidence
Observed aliases (1)
- Keyu Chen (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Innovation: 1 paper
Claim outcomes
- Decision Quality: 1 paper
- Error Rate: 1 paper
- Organizational Efficiency: 1 paper
- Task Completion Time: 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 deep-learning early-warning system that fuses transactions, social media and financial reports achieves 91% accuracy and flags credit risk about 28 days earlier in internal tests on three Chinese banks, outperforming legacy rule-based systems by roughly 15 percentage points.arxiv | Keyu Chen orcid |
2026-09-14 | Missing, not zero |
Citation observation summary
OpenAlex supplied counts for 0 of 1 papers in this view; 1 are missing.