Haijun Yang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Shandong University, China Mobile, Shandong Management University, Beihang Universityas 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
- 0000-0001-8941-7571
- OpenAlex ID
- A5058675840, A5123687556, A5131297544as 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
An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery,
A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR,
A Single Attention-Based Combination of CNN and RNN for Relation Classification,
Feature Selection Solution with High Dimensionality and Low-Sample Size for Land Cover Classification in Object-Based Image Analysis,
Improving stock trading decisions based on pattern recognition using machine learning technology,
Rapid and sensitive detection of esophageal cancer by FTIR spectroscopy of serum and plasma,
Research on the Stability of Open Financial System,
Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme
+3 more
← Authored by 11
An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery,
A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR,
A Single Attention-Based Combination of CNN and RNN for Relation Classification,
Feature Selection Solution with High Dimensionality and Low-Sample Size for Land Cover Classification in Object-Based Image Analysis,
Improving stock trading decisions based on pattern recognition using machine learning technology,
Rapid and sensitive detection of esophageal cancer by FTIR spectroscopy of serum and plasma,
Research on the Stability of Open Financial System,
Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme
+3 more
Affiliated with 10
Beihang University,
Ministry of Ecology and Environment of the People's Republic of China,
Southwest University of Science and Technology,
Henan University of Science and Technology,
Mianyang Normal University,
Hainan Tropical Ocean University,
Anyang Tumor Hospital,
Beijing Advanced Sciences and Innovation Center
+2 more
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Summary
Haijun Yang is a human[1].