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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5121453887
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Yijing Zhang (openalex, provider refresh)
- Yijing Zhang (openalex, source metadata)
- Zhang Yijing (openalex, provider refresh)
- Zhang Yijing (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Org Design: 1 paper
Claim outcomes
- Other: 1 paper
- Organizational Efficiency: 1 paper
- Regulatory Compliance: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Firms that disclose greater use of generative AI face higher audit bills: a large panel of Chinese listed companies shows GenAI-related disclosures predict statistically significant increases in audit fees, particularly for firms with high institutional ownership, low analyst coverage, or non‑Big Four auditors.openalex | Yijing Zhang provider id |
2026-08-21 | 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.