Wenxuan Tu
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Beijing Institute of Technology, Hainan University, Hainan Agricultural Schoolas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-1353-2968
- OpenAlex ID
- A5085607536as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 39
An Animal Classification based on Light Convolutional Network Neural Network,
An Improved Method for the Fitting and Prediction of the Number of COVID-19 Confirmed Cases Based on LSTM,
A Non-parametric Graph Clustering Framework for Multi-View Data,
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal,
Attributed Graph Clustering with Dual Redundancy Reduction,
Attribute-Missing Graph Clustering Network,
Channel-wise Attention in 3D Convolutional Networks for Violence Detection,
Cluster-Guided Contrastive Graph Clustering Network
+31 more
← Authored by 39
An Animal Classification based on Light Convolutional Network Neural Network,
An Improved Method for the Fitting and Prediction of the Number of COVID-19 Confirmed Cases Based on LSTM,
A Non-parametric Graph Clustering Framework for Multi-View Data,
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal,
Attributed Graph Clustering with Dual Redundancy Reduction,
Attribute-Missing Graph Clustering Network,
Channel-wise Attention in 3D Convolutional Networks for Violence Detection,
Cluster-Guided Contrastive Graph Clustering Network
+31 more
Affiliated with 3
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Summary
Wenxuan Tu is a human[1].