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Profil bibliographique

Yongquan Dong

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

69Publications signalées
1247Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Metaheuristic Optimization Algorithms ResearchAdvanced Clustering Algorithms ResearchAdvanced Polymer Synthesis and CharacterizationAnomaly Detection Techniques and ApplicationsAdvanced Multi-Objective Optimization Algorithms

Les publications récentes

2025 article OpenAlex

Numerical Study of Subsurface Defect Detection in Ultra-High-Molecular-Weight Polyethylene Materials Using Pulsed Infrared Thermography

Yongquan Dong, Wenming Su, Changjing Xu, Haochen Wang

This study numerically investigates the effectiveness of pulsed infrared thermography (PIT), an active infrared imaging technique, for detecting subsurface defects and damage in ultra-high-molecular-weight polyethylene (UHMWPE) materials, which are widely used in helmets and armor systems. To understand the heat transfer mechanisms …

cn (code pays fourni par la source)

0 citations Journal of Nanoelectronics and Optoelectronics
Accès ouvert 2025 article OpenAlex

Construction control of cable-stayed bridge top push method based on BIM technology

Chengyong Chen, Wenming Su, Wenqiang Dou, Yongquan Dong et autres

This research focuses on enhancing the precision and management of the top push method in cable-stayed bridge construction through the application of building information modeling (BIM) technology. By evaluating BIM standards, engineering decomposition standards, and modeling software, an appropriate BIM platform and …

1 citation Discover Applied Sciences
Accès ouvert 2025 preprint OpenAlex

Fuzzy Cluster-Aware Contrastive Clustering for Time Series

Congyu Wang, Mingjing Du, Xiang Jiang, Yongquan Dong

The rapid growth of unlabeled time series data, driven by the Internet of Things (IoT), poses significant challenges in uncovering underlying patterns. Traditional unsupervised clustering methods often fail to capture the complex nature of time series data. Recent deep learning-based clustering approaches, …

0 citations arXiv (Cornell University)
2025 conference-paper OpenAlex

Sentiment classification of MOOC courses by merging local context focus and bi-directional gated recurrent unit

Yongquan Dong, Bin He, Nan Zhou, Linjie Yan

Existing MOOC review sentiment classification methods do not fully utilize the local context information associated with aspect, and they ignore the connection between local and global contexts, while resulting in modeled features that lack the information connection between aspect and contexts. In …

cn (code pays fourni par la source)

0 citations

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