# China University of Mining and Technology

**Type:** Institutions  
**Canonical URL:** https://picoportal.org/library/institutions/china-university-of-mining-and-technology/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 70.1 |
| Citations | 4,614,087 |
| City | Xuzhou |
| Country | CN |
| Description | China University of Mining and Technology is a research organisation in Xuzhou, CN. OpenAlex records 92,886 works and 4,614,087 citations for it. 33,147 researchers list it as their most recent affiliation. |
| Homepage | https://www.cumt.edu.cn |
| OpenAlex ID | https://openalex.org/I25757504 |
| Researchers | 33,147 |
| ROR ID | https://ror.org/01xt2dr21 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q1074084 |
| Works | 92,886 |

## University papers

- [Deep Extreme Learning Machine and Its Application in EEG Classification](https://picoportal.org/library/papers/deep-extreme-learning-machine-and-its-application-in-eeg-classification/)
- [Unsupervised extreme learning machine with representational features](https://picoportal.org/library/papers/unsupervised-extreme-learning-machine-with-representational-features/)
- [Incremental extreme learning machine based on deep feature embedded](https://picoportal.org/library/papers/incremental-extreme-learning-machine-based-on-deep-feature-embedded/)
- [Research of stacked denoising sparse autoencoder](https://picoportal.org/library/papers/research-of-stacked-denoising-sparse-autoencoder/)
- [An overview on probability undirected graphs and their applications in image processing](https://picoportal.org/library/papers/an-overview-on-probability-undirected-graphs-and-their-applications-in-image/)
- [High-Order Residual Convolutional Neural Network for Robust Crop Disease Recognition](https://picoportal.org/library/papers/high-order-residual-convolutional-neural-network-for-robust-crop-disease/)
- [Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding](https://picoportal.org/library/papers/botnet-dga-domain-name-classification-using-transformer-network-with-hybrid/)
- [Broad learning system based ensemble deep model](https://picoportal.org/library/papers/broad-learning-system-based-ensemble-deep-model/)
- [Weight Uncertainty in Boltzmann Machine](https://picoportal.org/library/papers/weight-uncertainty-in-boltzmann-machine/)
- [Robust spike-and-slab deep Boltzmann machines for face denoising](https://picoportal.org/library/papers/robust-spike-and-slab-deep-boltzmann-machines-for-face-denoising/)

## University researchers

- [Y. B. Pan](https://picoportal.org/library/researchers/y-b-pan/)
- [Jian Zuo](https://picoportal.org/library/researchers/jian-zuo/)
- [Bing Xue](https://picoportal.org/library/researchers/bing-xue/)
- [Hui Huang](https://picoportal.org/library/researchers/hui-huang-2/)
- [Tao Zhang](https://picoportal.org/library/researchers/tao-zhang-3/)
- [Jiefeng Gao](https://picoportal.org/library/researchers/jiefeng-gao/)
- [Chunwen Sun](https://picoportal.org/library/researchers/chunwen-sun/)
- [Jian Zhang](https://picoportal.org/library/researchers/jian-zhang-9/)

## University top topics

Showing 8 of 25.

- [Geotechnical and Geomechanical Engineering](https://picoportal.org/library/topics/geotechnical-and-geomechanical-engineering/)
- [Geomechanics and Mining Engineering](https://picoportal.org/library/topics/geomechanics-and-mining-engineering/)
- [Geoscience and Mining Technology](https://picoportal.org/library/topics/geoscience-and-mining-technology/)
- [Rock Mechanics and Modeling](https://picoportal.org/library/topics/rock-mechanics-and-modeling/)
- [Coal Properties and Utilization](https://picoportal.org/library/topics/coal-properties-and-utilization/)
- [Hydrocarbon exploration and reservoir analysis](https://picoportal.org/library/topics/hydrocarbon-exploration-and-reservoir-analysis/)
- [Landslides and related hazards](https://picoportal.org/library/topics/landslides-and-related-hazards/)
- [Mineral Processing and Grinding](https://picoportal.org/library/topics/mineral-processing-and-grinding/)

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Source: PICO Portal — public research metadata, principally OpenAlex. See https://picoportal.org/library/sources/ for provenance and https://picoportal.org/library/methodology/ for what these figures mean.