Type
Funder
Country
—
ROR
—
Documents
53
through any edge
Papers
0
authorship edges
Awards made
73
54 grant numbers
Named as funder
53
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 Natural Science Foundation of Qingdao has funded
73 awards under 54 distinct grant numbers, across 47 documents. A further 53 documents name it as a funder without a grant number — a weaker claim, counted separately.
Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizergrant 23-2-1-112-zyyd-jch · 2024-01-01Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant 2021CXGC011304 · 2024-04-19Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant 2021ZYA12004 · 2024-04-19Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant 23-2-1-118-zyyd-jch · 2024-04-19Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant 62303272 · 2024-04-19Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant QDBSH20220201013 · 2024-04-19Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant SDCX-ZG-202203036 · 2024-04-19Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant ZR2020MF066 · 2024-04-19Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant ZR2022QF038 · 2024-04-19Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalizationgrant ZR2023QF067 · 2024-04-19
10 of 126 funding edges