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
6Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5083209364
ORCID evidence
Observed aliases (4)
- Q.G. Lin (openalex, provider refresh)
- Q.G. Lin (openalex, source metadata)
- Qiao Lin (openalex, provider refresh)
- Qiao Lin (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Innovation Output: 1 paper
- Research Productivity: 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 NLP + heterogeneous-graph pipeline identifies plausible, previously implicit links in rice drought‑tolerance research and outperforms standard baselines, with a subset of model-predicted associations later appearing in the 2021–2023 literature, suggesting potential to speed discovery and reduce search costs in R&D.openalex | Qiao Lin provider id |
2026-08-03 | 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.