# Hangzhou Dianzi University

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/hangzhou-dianzi-university/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 41 |
| Citations | 1,254,288 |
| City | Hangzhou |
| Country | CN |
| Description | Hangzhou Dianzi University is a research organisation in Hangzhou, CN. OpenAlex records 37,650 works and 1,254,288 citations for it. 12,822 researchers list it as their most recent affiliation. |
| Homepage | https://www.hdu.edu.cn |
| OpenAlex ID | https://openalex.org/I50760025 |
| Researchers | 12,822 |
| ROR ID | https://ror.org/0576gt767 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q11102606 |
| Works | 37,650 |

## University papers

Showing 12 of 21.

- [Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases](https://scholariq.org/papers/accurate-leukocyte-detection-based-on-deformable-detr-and-multi-level-feature/)
- [EEG classification of driver mental states by deep learning](https://scholariq.org/papers/eeg-classification-of-driver-mental-states-by-deep-learning/)
- [A novel method for peanut variety identification and classification by Improved VGG16](https://scholariq.org/papers/a-novel-method-for-peanut-variety-identification-and-classification-by-improved/)
- [Fine-grained leukocyte classification with deep residual learning for microscopic images](https://scholariq.org/papers/fine-grained-leukocyte-classification-with-deep-residual-learning-for/)
- [Recognition pest by image‐based transfer learning](https://scholariq.org/papers/recognition-pest-by-image-based-transfer-learning/)
- [Aflatoxin rapid detection based on hyperspectral with 1D-convolution neural network in the pixel level](https://scholariq.org/papers/aflatoxin-rapid-detection-based-on-hyperspectral-with-1d-convolution-neural/)
- [Monitoring the Change Process of Banana Freshness by GoogLeNet](https://scholariq.org/papers/monitoring-the-change-process-of-banana-freshness-by-googlenet/)
- [GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition](https://scholariq.org/papers/gfil-a-unified-framework-for-the-importance-analysis-of-features-frequency-bands/)
- [A miR-135b-TAZ positive feedback loop promotes epithelial–mesenchymal transition (EMT) and tumorigenesis in osteosarcoma](https://scholariq.org/papers/a-mir-135b-taz-positive-feedback-loop-promotes-epithelial-mesenchymal-transition/)
- [White Blood Cells Classification with Deep Convolutional Neural Networks](https://scholariq.org/papers/white-blood-cells-classification-with-deep-convolutional-neural-networks/)
- [A deep learning approach to the classification of 3D CAD models](https://scholariq.org/papers/a-deep-learning-approach-to-the-classification-of-3d-cad-models/)
- [Recurrent neural network from adder’s perspective: Carry-lookahead RNN](https://scholariq.org/papers/recurrent-neural-network-from-adder-s-perspective-carry-lookahead-rnn/)

## University researchers

- [Feiwei Qin](https://scholariq.org/researchers/feiwei-qin/)
- [Jiangong Ni](https://scholariq.org/researchers/jiangong-ni/)

## University top topics

Showing 8 of 24.

- [Microwave Engineering and Waveguides](https://scholariq.org/topics/microwave-engineering-and-waveguides/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Advanced Algorithms and Applications](https://scholariq.org/topics/advanced-algorithms-and-applications/)
- [Radio Frequency Integrated Circuit Design](https://scholariq.org/topics/radio-frequency-integrated-circuit-design/)
- [Stability and Control of Uncertain Systems](https://scholariq.org/topics/stability-and-control-of-uncertain-systems/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Advanced Antenna and Metasurface Technologies](https://scholariq.org/topics/advanced-antenna-and-metasurface-technologies/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

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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.