Junhui Zhao
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Seoul National University of Science and Technology, East China Jiaotong University, Beijing Jiaotong 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
- 0000-0002-4429-494X
- OpenAlex ID
- A5085078614, A5122878100, A5136761998as 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 47
Adaptive Resource Allocation for Mobile Edge Computing in Internet of Vehicles: A Deep Reinforcement Learning Approach,
Adaptive Virtual Impedance Droop Control Based on Consensus Control of Reactive Current,
A Model-Driven Deep Learning Method for Massive MIMO Detection,
An anomaly identification model for wind turbine state parameters,
A new weighting k -means type clustering framework with an l 2 -norm regularization,
A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers,
Anti-Jamming Technique for IRS Aided JRC System in Mobile Vehicular Networks,
A Transformer Fault Diagnosis Model Using an Optimal Hybrid Dissolved Gas Analysis Features Subset with Improved Social Group Optimization-Support Vector Machine Classifier
+39 more
← Authored by 47
Adaptive Resource Allocation for Mobile Edge Computing in Internet of Vehicles: A Deep Reinforcement Learning Approach,
Adaptive Virtual Impedance Droop Control Based on Consensus Control of Reactive Current,
A Model-Driven Deep Learning Method for Massive MIMO Detection,
An anomaly identification model for wind turbine state parameters,
A new weighting k -means type clustering framework with an l 2 -norm regularization,
A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers,
Anti-Jamming Technique for IRS Aided JRC System in Mobile Vehicular Networks,
A Transformer Fault Diagnosis Model Using an Optimal Hybrid Dissolved Gas Analysis Features Subset with Improved Social Group Optimization-Support Vector Machine Classifier
+39 more
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Summary
Junhui Zhao is a human[1].