# Chinese Academy of Sciences

**Type:** Funders  
**Canonical URL:** https://scholariq.org/funders/chinese-academy-of-sciences/

## Facts

| Field | Value |
| --- | --- |
| Country | CN |
| Description | national academy for natural sciences of China |
| OpenAlex ID | https://openalex.org/F4320321133 |
| ROR ID | https://ror.org/034t30j35 |
| Works | 211,481 |

## Funder papers

- [Learning Skill Characteristics From Manipulations](https://scholariq.org/papers/learning-skill-characteristics-from-manipulations/)
- [A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills](https://scholariq.org/papers/a-multilayer-and-multimodal-fusion-architecture-for-simultaneous-recognition-of/)
- [Surgical Skill Assessment Based on Dynamic Warping Manipulations](https://scholariq.org/papers/surgical-skill-assessment-based-on-dynamic-warping-manipulations/)
- [Exploration of Interventionists’ Technical Manipulation Skills for Robot-Assisted Intravascular PCI Catheterization](https://scholariq.org/papers/exploration-of-interventionists-technical-manipulation-skills-for-robot-assisted/)
- [High-Order Residual Convolutional Neural Network for Robust Crop Disease Recognition](https://scholariq.org/papers/high-order-residual-convolutional-neural-network-for-robust-crop-disease/)
- [Efficacy of Zhengtian Pill for migraine prophylaxis: A randomized, multicenter, double-blind, placebo-controlled, parallel-group study](https://scholariq.org/papers/efficacy-of-zhengtian-pill-for-migraine-prophylaxis-a-randomized-multicenter/)
- [Interventionalist Hand Motion Recognition With Convolutional Neural Network in Robot-Assisted Coronary Interventions](https://scholariq.org/papers/interventionalist-hand-motion-recognition-with-convolutional-neural-network-in/)
- [Exploring Operators’ Natural Behaviors to Predict Catheterization Trial Outcomes in Robot-Assisted Intravascular Interventions](https://scholariq.org/papers/exploring-operators-natural-behaviors-to-predict-catheterization-trial-outcomes/)
- [Blood metabolic panels for identifying significant fibrosis and inflammation in patients with MASLD](https://scholariq.org/papers/blood-metabolic-panels-for-identifying-significant-fibrosis-and-inflammation-in/)

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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.