Danyu Wang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Harbin Institute of Technology, Zhengzhou University, Key Laboratory of Guangdong Province, Heilongjiang Institute of Technologyas 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
- 0000-0002-3127-5328
- OpenAlex ID
- A5101992082as 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 11
Automatic detection of asphalt pavement thickness: A method combining GPR images and improved Canny algorithm,
Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks,
Automatic extraction and 3D modeling of real road scenes using UAV imagery and deep learning semantic segmentation,
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN,
Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks,
Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers,
Feature extraction and segmentation of pavement distress using an improved hybrid task cascade network,
ILCOC: An Incremental Learning Framework based on Contrastive One-class Classifiers
+3 more
← Authored by 11
Automatic detection of asphalt pavement thickness: A method combining GPR images and improved Canny algorithm,
Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks,
Automatic extraction and 3D modeling of real road scenes using UAV imagery and deep learning semantic segmentation,
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN,
Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks,
Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers,
Feature extraction and segmentation of pavement distress using an improved hybrid task cascade network,
ILCOC: An Incremental Learning Framework based on Contrastive One-class Classifiers
+3 more
Affiliated with 2
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Summary
Danyu Wang is a human[1].