# Chongqing University of Technology

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/chongqing-university-of-technology/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 14 |
| Citations | 683,187 |
| City | Chongqing |
| Country | CN |
| Description | Chongqing University of Technology is a research organisation in Chongqing, CN. OpenAlex records 22,621 works and 683,187 citations for it. 9,959 researchers list it as their most recent affiliation. |
| Homepage | https://cqut.edu.cn |
| OpenAlex ID | https://openalex.org/I50632499 |
| Researchers | 9,959 |
| ROR ID | https://ror.org/04vgbd477 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q15913567 |
| Works | 22,621 |

## University papers

- [RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism](https://scholariq.org/papers/ric-net-a-plant-disease-classification-model-based-on-the-fusion-of-inception/)
- [A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction](https://scholariq.org/papers/a-deep-learning-based-method-for-identification-of-bacteriophage-host/)
- [Improved RRT-Connect Based Path Planning Algorithm for Mobile Robots](https://scholariq.org/papers/improved-rrt-connect-based-path-planning-algorithm-for-mobile-robots/)
- [SEV‐Net: Residual network embedded with attention mechanism for plant disease severity detection](https://scholariq.org/papers/sev-net-residual-network-embedded-with-attention-mechanism-for-plant-disease/)
- [Global plus local: A complete framework for feature extraction and recognition](https://scholariq.org/papers/global-plus-local-a-complete-framework-for-feature-extraction-and-recognition/)
- [An integrative biomarker approach to assess the environmental stress in the north coast of Shandong Peninsula using native oysters, Crassostrea gigas](https://scholariq.org/papers/an-integrative-biomarker-approach-to-assess-the-environmental-stress-in-the/)
- [HEAL: an automated deep learning framework for cancer histopathology image analysis](https://scholariq.org/papers/heal-an-automated-deep-learning-framework-for-cancer-histopathology-image/)
- [MR image super-resolution reconstruction using sparse representation, nonlocal similarity and sparse derivative prior](https://scholariq.org/papers/mr-image-super-resolution-reconstruction-using-sparse-representation-nonlocal/)
- [Evaluated serum perfluoroalkyl acids and their relationships with the incidence of rheumatoid arthritis in the general population in Hangzhou, China](https://scholariq.org/papers/evaluated-serum-perfluoroalkyl-acids-and-their-relationships-with-the-incidence/)
- [The influences of perfluoroalkyl substances on the rheumatoid arthritis clinic](https://scholariq.org/papers/the-influences-of-perfluoroalkyl-substances-on-the-rheumatoid-arthritis-clinic/)

## University researchers

- [Yun Zhao](https://scholariq.org/researchers/yun-zhao-2/)

## University top topics

Showing 8 of 24.

- [Aluminum Alloys Composites Properties](https://scholariq.org/topics/aluminum-alloys-composites-properties/)
- [Magnesium Alloys: Properties and Applications](https://scholariq.org/topics/magnesium-alloys-properties-and-applications/)
- [Advancements in Battery Materials](https://scholariq.org/topics/advancements-in-battery-materials/)
- [Advanced Battery Technologies Research](https://scholariq.org/topics/advanced-battery-technologies-research/)
- [Advanced Battery Materials and Technologies](https://scholariq.org/topics/advanced-battery-materials-and-technologies/)
- [Aluminum Alloy Microstructure Properties](https://scholariq.org/topics/aluminum-alloy-microstructure-properties/)
- [Advanced Sensor and Control Systems](https://scholariq.org/topics/advanced-sensor-and-control-systems/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.