Type
Funder
Country
—
ROR
—
Documents
5
through any edge
Papers
0
authorship edges
Awards made
5
5 grant numbers
Named as funder
5
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 Research Fund for Coal and Steel has funded
5 awards under 5 distinct grant numbers, across 4 documents. A further 5 documents name it as a funder without a grant number — a weaker claim, counted separately.
Assessing the implementation of machine learning models for thermal treatments designgrant RFCS-2019- 899268 · 2021-11-01Assessing the implementation of machine learning models for thermal treatments designgrant RFCS-2019-899251 · 2021-11-01A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnacegrant RFSR-CT-2015-00029 · 2021-04-16Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactorsgrant 800659 · 2021-01-01Context-Aware Simulation with Machine Vision for Industrial Safetygrant 101112102 · 2025-10-13
5 of 10 funding edges