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
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5147155286
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Jingyi Zhang (openalex, provider refresh)
- Jingyi Zhang (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Task Allocation: 1 paper
- Skill Acquisition: 1 paper
- Team Performance: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| Generative AI both confuses and empowers workers: among 541 Chinese high‑tech employees, AI use raised role uncertainty (deterring collaboration) yet also boosted workers’ confidence to take on broader tasks (encouraging collaboration); stronger AI literacy dampened confusion and amplified confidence, and collaboration correlated with higher self-reported performance.openalex | Jingyi Zhang provider id |
2026-08-14 | 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.