Yajun Yu
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Science and Technology of China, Zhejiang A & F University, Northwestern Polytechnical University, Wuhan University, University of Texas Southwestern Medical Centeras 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
- 0000-0002-4073-7715
- OpenAlex ID
- A5101764903as 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 6
Coupled Bionic Design Based on Primnoa Mouthpart to Improve the Performance of a Straw Returning Machine,
Feasibility study of 3D time‐reversal reconstruction of proton‐induced acoustic signals for dose verification in the head and the liver: A simulation study,
Graph classification based on sparse graph feature selection and extreme learning machine,
High-Resolution Low-Power Hyperspectral Line-Scan Imaging of Fast Cellular Dynamics Using Azo-Enhanced Raman Scattering Probes,
Hybrid Principal Component Analysis Denoising Enables Rapid, Label-Free Morpho-Chemical Quantification of Individual Nanoliposomes,
Technical Note: Machine learning approaches for range and dose verification in proton therapy using proton‐induced positron emitters
← Authored by 6
Coupled Bionic Design Based on Primnoa Mouthpart to Improve the Performance of a Straw Returning Machine,
Feasibility study of 3D time‐reversal reconstruction of proton‐induced acoustic signals for dose verification in the head and the liver: A simulation study,
Graph classification based on sparse graph feature selection and extreme learning machine,
High-Resolution Low-Power Hyperspectral Line-Scan Imaging of Fast Cellular Dynamics Using Azo-Enhanced Raman Scattering Probes,
Hybrid Principal Component Analysis Denoising Enables Rapid, Label-Free Morpho-Chemical Quantification of Individual Nanoliposomes,
Technical Note: Machine learning approaches for range and dose verification in proton therapy using proton‐induced positron emitters
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Summary
Yajun Yu is a human[1].