Type
Funder
Country
—
ROR
—
Documents
8
through any edge
Papers
0
authorship edges
Awards made
4
4 grant numbers
Named as funder
8
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Science and Technology Department of Xinjiang Uygur Autonomous Region has funded
4 awards under 4 distinct grant numbers, across 4 documents. A further 8 documents name it as a funder without a grant number — a weaker claim, counted separately.
Enhancing signed graph neural networks through curriculum-based traininggrant 2024A02002 · 2025-08-12Causal Semantics Refinement Model for Event Causality Identification via information bottleneck representation learninggrant 2022TSYCLJ0037 · 2026-03-12Pose Estimation of Multiple Domains Based on the Fusion of Multiple Deep Learning Models and Baidu APIgrant 2022B01008-3 · 2024-05-10Mitigating multimodal hallucinations through visual attention tracing and origin-point regenerationgrant 2023A03001 · 2026-06-04
4 of 12 funding edges