Type
Funder
Country
—
ROR
—
Documents
4
through any edge
Papers
0
authorship edges
Awards made
5
5 grant numbers
Named as funder
4
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 Samsung Medical Center, Sungkyunkwan University has funded
5 awards under 5 distinct grant numbers, across 4 documents. A further 4 documents name it as a funder without a grant number — a weaker claim, counted separately.
Computationally efficient and stable real-world synthetic emergency room electronic health record data generation: high similarity and privacy preserving diffusion model approach: A retrospective cohort studygrant OTA2101731 · 2024-09-30SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generatorgrant OTC1190671 · 2024-12-24SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generatorgrant RS-2024-00357912 · 2024-12-24Equilibrium Contrastive Learning for Imbalanced Image Classificationgrant SMO1240791 · 2026-04-02Application of Machine Learning Algorithm in Predicting Axillary Lymph Node Metastasis from Breast Cancer on Preoperative Chest CTgrant SMC1210791 · 2023-09-14
5 of 9 funding edges