# First Affiliated Hospital of Jiangxi Medical College

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/first-affiliated-hospital-of-jiangxi-medical-college/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 19.8 |
| Citations | 140,888 |
| City | Nanchang |
| Country | CN |
| Description | First Affiliated Hospital of Jiangxi Medical College is a research organisation in Nanchang, CN. OpenAlex records 7,077 works and 140,888 citations for it. 8,515 researchers list it as their most recent affiliation. |
| Homepage | http://www.jyyfy.com/ |
| OpenAlex ID | https://openalex.org/I4210093739 |
| Researchers | 8,515 |
| ROR ID | https://ror.org/00g3pqv36 |
| Type | healthcare |
| Works | 7,077 |

## University papers

Showing 12 of 30.

- [The Visual Object Tracking VOT2016 Challenge Results](https://scholariq.org/papers/the-visual-object-tracking-vot2016-challenge-results/)
- [The Visual Object Tracking VOT2017 Challenge Results](https://scholariq.org/papers/the-visual-object-tracking-vot2017-challenge-results/)
- [Learning Spatial-Aware Regressions for Visual Tracking](https://scholariq.org/papers/learning-spatial-aware-regressions-for-visual-tracking/)
- [Research on Recognition Model of Crop Diseases and Insect Pests Based on Deep Learning in Harsh Environments](https://scholariq.org/papers/research-on-recognition-model-of-crop-diseases-and-insect-pests-based-on-deep/)
- [Kernelized Subspace Ranking for Saliency Detection](https://scholariq.org/papers/kernelized-subspace-ranking-for-saliency-detection/)
- [CRISPR-Cas13: A new technology for the rapid detection of pathogenic microorganisms](https://scholariq.org/papers/crispr-cas13-a-new-technology-for-the-rapid-detection-of-pathogenic/)
- [High-density Lipoprotein and Inflammation and Its Significance to Atherosclerosis](https://scholariq.org/papers/high-density-lipoprotein-and-inflammation-and-its-significance-to/)
- [Person Re-Identification via Distance Metric Learning With Latent Variables](https://scholariq.org/papers/person-re-identification-via-distance-metric-learning-with-latent-variables/)
- [A Double-Layer Detection and Classification Approach for Network Attacks](https://scholariq.org/papers/a-double-layer-detection-and-classification-approach-for-network-attacks/)
- [The application of agglomerative hierarchical spatial clustering algorithm in tea blending](https://scholariq.org/papers/the-application-of-agglomerative-hierarchical-spatial-clustering-algorithm-in/)
- [Visual Tracking via Joint Discriminative Appearance Learning](https://scholariq.org/papers/visual-tracking-via-joint-discriminative-appearance-learning/)
- [Four thermostatic steps: A novel CRISPR-Cas12-based system for the rapid at-home detection of respiratory pathogens](https://scholariq.org/papers/four-thermostatic-steps-a-novel-crispr-cas12-based-system-for-the-rapid-at-home/)

## University researchers

- [Chong Sun](https://scholariq.org/researchers/chong-sun/)
- [Jianhua Fang](https://scholariq.org/researchers/jianhua-fang/)
- [Jing Hu](https://scholariq.org/researchers/jing-hu/)

## University top topics

Showing 8 of 25.

- [Ferroptosis and cancer prognosis](https://scholariq.org/topics/ferroptosis-and-cancer-prognosis/)
- [RNA modifications and cancer](https://scholariq.org/topics/rna-modifications-and-cancer/)
- [Cancer-related molecular mechanisms research](https://scholariq.org/topics/cancer-related-molecular-mechanisms-research/)
- [Immune cells in cancer](https://scholariq.org/topics/immune-cells-in-cancer/)
- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)
- [Cancer, Hypoxia, and Metabolism](https://scholariq.org/topics/cancer-hypoxia-and-metabolism/)
- [Gut microbiota and health](https://scholariq.org/topics/gut-microbiota-and-health/)
- [Inflammasome and immune disorders](https://scholariq.org/topics/inflammasome-and-immune-disorders/)

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