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: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5150648636
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Wenjing Zhang (openalex, provider refresh)
- Wenjing Zhang (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
Claim outcomes
- Other: 1 paper
- Consumer Welfare: 1 paper
- Decision 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 |
|---|---|---|---|
| Emotion-driven spending is a growing research frontier: it can lift consumption quality when constrained but, left unchecked, damages health, heightens household financial vulnerability and amplifies short-term market and credit risk; researchers should link long-term administrative and digital-trace data and apply causal machine-learning to measure algorithmic impacts and heterogeneity.openalex | Wenjing Zhang provider id |
2026-09-07 | 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.