Junjie Xu
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- Machine Fault Diagnosis Techniques 6
- Fault Detection and Control Systems 3
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 7
- Anomaly Detection Techniques and Applications 3
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- Advanced Multi-Objective Optimization Algorithms 3
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- Air Traffic Management and Optimization 3
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- Engineering Diagnostics and Reliability 3
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- Advancements in Battery Materials 3
- Cited by
- Control and Systems EngineeringArtificial IntelligenceIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junjie Xu
37 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Control and Systems Engineering 905
- Artificial Intelligence 1.2k
- Industrial and Manufacturing Engineering 255
- Computational Theory and Mathematics 388
- Computer Vision and Pattern Recognition 386
Countries citing papers authored by Junjie Xu
This map shows the geographic impact of Junjie Xu'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 Junjie Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Xu more than expected).
Fields of papers citing papers by Junjie Xu
This network shows the impact of papers produced by Junjie Xu. 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 Junjie Xu. The network helps show where Junjie Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junjie Xu, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 25 | |
| 6 | 2024 | 9 | |
| 7 | Intelligent Diagnosis Using Continuous Wavelet Transform and Gauss Convolutional Deep Belief Networkbreakdown → | 2022 | 228 |
| 8 | 2022 | 64 | |
| 9 | 2022 | 7 | |
| 10 | Revisiting Time Series Outlier Detection: Definitions and Benchmarks | 2021 | 39 |
| 11 | 2021 | 1 | |
| 12 | 2021 | 31 | |
| 13 | An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Networkbreakdown → | 2020 | 377 |
| 14 | An Enhanced MSIQDE Algorithm With Novel Multiple Strategies for Global Optimization Problemsbreakdown → | 2020 | 347 |
| 15 | 2019 | 176 | |
| 16 | 2019 | 204 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 16 | |
| 19 | 2011 | 46 | |
| 20 | 2004 | 1 |
About Junjie Xu
Junjie Xu is a scholar working on Software, Artificial Intelligence and Control and Systems Engineering, having authored 41 papers that have together received 3.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Machine Fault Diagnosis Techniques (6 papers), Fault Detection and Control Systems (3 papers), Air Traffic Management and Optimization (3 papers), Engineering Diagnostics and Reliability (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Advancements in Battery Materials (3 papers). The work is most often cited by research in Control and Systems Engineering (905 citations), Artificial Intelligence (1.2k citations) and Industrial and Manufacturing Engineering (255 citations). Junjie Xu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huimin Zhao, Wu Deng, Yingjie Song, Xiao‐Zhi Gao, Hailong Liu, Haodong Liu, Huayue Chen, Xing Cai, Wu Deng and Jie Liu. Their work appears in journals such as Applied Catalysis B: Environmental, The Plant Journal and Small.
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.