Ke Zhao
- Control and Systems Engineering top 0.5%
- Machine Fault Diagnosis Techniques 27
- Fault Detection and Control Systems 11
- Mechanical Engineering top 2%
- Gear and Bearing Dynamics Analysis 11
- Mechanical Failure Analysis and Simulation 6
- Non-Destructive Testing Techniques 5
- Mechanics of Materials top 5%
- Engineering Diagnostics and Reliability 9
- Artificial Intelligence top 5%
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- Advanced Multi-Objective Optimization Algorithms 8
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- Probabilistic and Robust Engineering Design 4
In The Last Decade
Ke Zhao
50 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Control and Systems Engineering 1.2k
- Mechanical Engineering 747
- Mechanics of Materials 366
- Radiological and Ultrasound Technology 63
- Artificial Intelligence 327
Countries citing papers authored by Ke Zhao
This map shows the geographic impact of Ke Zhao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ke Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Zhao more than expected).
Fields of papers citing papers by Ke Zhao
This network shows the impact of papers produced by Ke Zhao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ke Zhao. The network helps show where Ke Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ke Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | Universal federated domain adaptation for gearbox fault diagnosis: A robust framework for credible pseudo-label generationbreakdown → | 2025 | 18 |
| 6 | 2025 | 2 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 29 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 25 | |
| 12 | 2024 | 2 | |
| 13 | Class-Aware Adversarial Multiwavelet Convolutional Neural Network for Cross-Domain Fault Diagnosisbreakdown → | 2023 | 72 |
| 14 | 2023 | 2 | |
| 15 | 2022 | 16 | |
| 16 | 2021 | 18 | |
| 17 | Mechanical Fault Diagnosis Research of High Voltage Circuit Breaker Based on Kernel Principal Component Analysis and SoftMax | 2020 | 2 |
| 18 | 2020 | 1 | |
| 19 | Airfoil optimization based on distributed particle swarm algorithm | 2011 | 2 |
| 20 | Investigations on Low Speed Flowfield and Aerodynamic Characteristic of Multi-element Airfoils | 2009 | 1 |
About Ke Zhao
Ke Zhao is a scholar working on Control and Systems Engineering, General Energy and Statistics, Probability and Uncertainty, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (27 papers), Fault Detection and Control Systems (11 papers), Gear and Bearing Dynamics Analysis (11 papers), Engineering Diagnostics and Reliability (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Mechanical Failure Analysis and Simulation (6 papers), Non-Destructive Testing Techniques (5 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Mechanical Engineering (747 citations) and Mechanics of Materials (366 citations). Ke Zhao has collaborated with scholars based in China, Portugal and Hong Kong. Frequent co-authors include Hongkai Jiang, Haidong Shao, Xingqiu Li, Zhenghong Wu, Kaibo Wang, Feng Jia, Zhenghong Gao, Zhenbao Liu, Jiangtao Huang and Haidong Shao. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Energy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.