Type
Funder
Country
—
Documents
7
through any edge
Papers
0
authorship edges
Awards made
4
3 grant numbers
Named as funder
7
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 National Heart Foundation of Australia has funded
4 awards under 3 distinct grant numbers, across 4 documents. A further 7 documents name it as a funder without a grant number — a weaker claim, counted separately.
Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countriesgrant 102112 · 2022-03-31Comprehensive Geometric Parameterization and Computationally Efficient 3D Shape Matching Optimization of Realistic Stentsgrant 103079 · 2024-10-22fmf-risk-taxonomy-and-thresholdsgrant JTC2018Application of Federated Learning in Cardiology: Key Challenges and Potential Solutionsgrant 102112 · 2024-10-11
4 of 11 funding edges