# Quoc Viet Hung Nguyen

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/quoc-viet-hung-nguyen/

## Facts

| Field | Value |
| --- | --- |
| Citations | 9,428 |
| Field | Recommender Systems and Techniques |
| h-index | 52 |
| i10-index | 146 |
| Last Known Institution | Griffith University |
| OpenAlex ID | https://openalex.org/A5051219382 |
| ORCID iD | 0000-0002-9687-1315 |
| Works | 362 |

## Researcher papers

- [Are Graph Augmentations Necessary?](https://scholariq.org/papers/are-graph-augmentations-necessary/)
- [Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation](https://scholariq.org/papers/self-supervised-multi-channel-hypergraph-convolutional-network-for-social/)
- [Deep learning for deepfakes creation and detection: A survey](https://scholariq.org/papers/deep-learning-for-deepfakes-creation-and-detection-a-survey/)
- [Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation](https://scholariq.org/papers/where-to-go-next-modeling-long-and-short-term-user-preferences-for-point-of/)
- [XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation](https://scholariq.org/papers/xsimgcl-towards-extremely-simple-graph-contrastive-learning-for-recommendation/)
- [Adapting to User Interest Drift for POI Recommendation](https://scholariq.org/papers/adapting-to-user-interest-drift-for-poi-recommendation/)
- [Socially-Aware Self-Supervised Tri-Training for Recommendation](https://scholariq.org/papers/socially-aware-self-supervised-tri-training-for-recommendation/)
- [PME](https://scholariq.org/papers/pme/)
- [Streaming Session-based Recommendation](https://scholariq.org/papers/streaming-session-based-recommendation/)
- [An Evaluation of Aggregation Techniques in Crowdsourcing](https://scholariq.org/papers/an-evaluation-of-aggregation-techniques-in-crowdsourcing/)
- [EXPLAINABLE ARTIFICIAL INTELLIGENCE IN ADDITIVE MANUFACTURING: A SYSTEMATIC REVIEW ON METHOD CONVERGENCE AND ASSESSMENT OF STANDARDIZATION GAPS](https://scholariq.org/papers/explainable-artificial-intelligence-in-additive-manufacturing-a-systematic/)

## Researcher topics

- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)
- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Data Management and Algorithms](https://scholariq.org/topics/data-management-and-algorithms/)
- [Privacy-Preserving Technologies in Data](https://scholariq.org/topics/privacy-preserving-technologies-in-data/)

## Researcher university

- [Griffith University](https://scholariq.org/institutions/griffith-university/)

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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.