Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex & ORCID
Quoc Viet Hung Nguyen
ResearcherPublications, citations & collaboration network
Quoc Viet Hung Nguyen is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 362 works, 9,428 citations, an h-index of 52 and an i10-index of 146.
362
Works
9,428
Citations
52
h-index
146
i10-index
How has Quoc Viet Hung Nguyen's publication output changed over time?
ScholarIQpublication output · 2013–2025
Output grew0% over the shown period — from 1 works in 2013 to 1 in 2025.
1
1
1
1
1
2
2
1
1
201320162018201920202021202220232025
What are the most-cited papers on Quoc Viet Hung Nguyen?
ScholarIQmost cited works
Are Graph Augmentations Necessary?
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
S4363608773. 2022605 CitationsOPEN ACCESS
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Quoc Viet Hung Nguyen, Xiangliang Zhang
2021498 CitationsOPEN ACCESS
Deep learning for deepfakes creation and detection: A survey
Thanh Thi Nguyen, Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung T. Nguyen, Duc Thanh Nguyen, Thien Huynh‐The, Saeid Nahavandi, Thanh Thi Nguyen, Thành Tâm Nguyên, Quoc‐Viet Pham, Cuong Nguyen
S185008460. 2022433 CitationsOPEN ACCESS
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin
S4210191458. 2020395 CitationsOPEN ACCESS
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin
S30698027. 2023278 Citations
Related on ScholarIQ
Griffith University
Institution
Are Graph Augmentations Necessary?
Paper
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Paper
Deep learning for deepfakes creation and detection: A survey
Paper
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
Paper
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Paper