# China Postdoctoral Science Foundation

**Type:** Funders  
**Canonical URL:** https://scholariq.org/funders/china-postdoctoral-science-foundation/

## Facts

| Field | Value |
| --- | --- |
| Country | CN |
| Description | nonprofit organization in Beijing, China |
| OpenAlex ID | https://openalex.org/F4320321543 |
| ROR ID | https://ror.org/0426zh255 |
| Works | 258,246 |

## Funder papers

- [A multi-level root cause analysis method for production anomalies in manufacturing workshops](https://scholariq.org/papers/a-multi-level-root-cause-analysis-method-for-production-anomalies-in/)
- [Long‐Term Outcomes of Endoscopic Ultrasound‐Guided Coloenterostomy With a Lumen‐Apposing Metal Stent for Malignant Small Bowel Obstruction](https://scholariq.org/papers/long-term-outcomes-of-endoscopic-ultrasound-guided-coloenterostomy-with-a-lumen/)
- [Integration of Metabolomics, Lipidomics, and Machine Learning for Developing a Biomarker Panel to Distinguish the Severity of Metabolic‐Associated Fatty Liver Disease](https://scholariq.org/papers/integration-of-metabolomics-lipidomics-and-machine-learning-for-developing-a/)
- [Integrated bioinformatics and in vitro validation reveal TUBB as a core gene and therapeutic target in NAFLD-related hepatocellular carcinoma](https://scholariq.org/papers/integrated-bioinformatics-and-in-vitro-validation-reveal-tubb-as-a-core-gene-and/)
- [Transformer-Based Multi-modal Fusion for Automatic Recognition and Learning of Craniomaxillofacial Suturing Skills](https://scholariq.org/papers/transformer-based-multi-modal-fusion-for-automatic-recognition-and-learning-of/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.