Type
Funder
Country
—
ROR
—
Documents
1
through any edge
Papers
0
authorship edges
Awards made
5
5 grant numbers
Named as funder
1
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 Bureau of Xinjiang Production and Construction Corps has funded
5 awards under 5 distinct grant numbers, across 1 documents. A further 1 documents name it as a funder without a grant number — a weaker claim, counted separately.
M2-Net: multi-view learning multi-scale fusion network for image tampering detectiongrant 2023AB010 · 2025-07-19M2-Net: multi-view learning multi-scale fusion network for image tampering detectiongrant 2023AB021 · 2025-07-19M2-Net: multi-view learning multi-scale fusion network for image tampering detectiongrant KXO0760202 · 2025-07-19M2-Net: multi-view learning multi-scale fusion network for image tampering detectiongrant S2023AA5383 · 2025-07-19M2-Net: multi-view learning multi-scale fusion network for image tampering detectiongrant S2024AB048 · 2025-07-19
5 of 6 funding edges