Wu Deng
Impact in
- Control and Systems Engineering top 0.2%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Papers in
-
- Metaheuristic Optimization Algorithms Research 32
- Evolutionary Algorithms and Applications 11
-
- Machine Fault Diagnosis Techniques 29
- Fault Detection and Control Systems 12
- Co-authors
- Huimin Zhao (53 shared papers)Junjie Xu (17 shared papers)Yingjie Song (15 shared papers)Xinhua Yang (23 shared papers)Xiangbing Zhou (17 shared papers)Huayue Chen (22 shared papers)Guangyu Li (5 shared papers)Yongquan Zhou (11 shared papers)
In The Last Decade
Wu Deng
148 papers receiving 9.0k citations
Wu Deng's Hit Papers
Peers
Comparison fields: 5 of 168
- Control and Systems Engineering 2.8k
- Industrial and Manufacturing Engineering 1.0k
- Artificial Intelligence 3.1k
- Computational Theory and Mathematics 1.0k
- Computer Vision and Pattern Recognition 1.2k
Countries citing papers authored by Wu Deng
This map shows the geographic impact of Wu Deng'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 Wu Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Deng more than expected).
Fields of papers citing papers by Wu Deng
This network shows the impact of papers produced by Wu Deng. 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 Wu Deng. The network helps show where Wu Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem Hit paper breakdown → | 2019 | 483 |
| 2 | A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm Hit paper breakdown → | 2017 | 417 |
| 3 | An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network Hit paper breakdown → | 2020 | 382 |
| 4 | An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems Hit paper breakdown → | 2021 | 363 |
| 5 | An Enhanced MSIQDE Algorithm With Novel Multiple Strategies for Global Optimization Problems Hit paper breakdown → | 2020 | 349 |
| 6 | A novel collaborative optimization algorithm in solving complex optimization problems Hit paper breakdown → | 2016 | 349 |
| 7 | Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment Hit paper breakdown → | 2017 | 328 |
| 8 | A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA Hit paper breakdown → | 2020 | 304 |
| 9 | An improved differential evolution algorithm and its application in optimization problem Hit paper breakdown → | 2021 | 270 |
| 10 | Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem Hit paper breakdown → | 2020 | 254 |
| 11 | A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing Hit paper breakdown → | 2018 | 250 |
| 12 | Intelligent Diagnosis Using Continuous Wavelet Transform and Gauss Convolutional Deep Belief Network Hit paper breakdown → | 2022 | 234 |
| 13 | 2020 | 210 | |
| 14 | 2019 | 204 | |
| 15 | 2012 | 196 | |
| 16 | 2016 | 192 | |
| 17 | 2019 | 188 | |
| 18 | Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization Hit paper breakdown → | 2021 | 174 |
| 19 | Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism Hit paper breakdown → | 2022 | 174 |
| 20 | A Novel K-Means Clustering Algorithm with a Noise Algorithm for Capturing Urban Hotspots Hit paper breakdown → | 2021 | 171 |
About Wu Deng
Wu Deng is a scholar working on Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 157 papers that have together received 9.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (32 papers), Machine Fault Diagnosis Techniques (29 papers), Gear and Bearing Dynamics Analysis (18 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Vehicle Routing Optimization Methods (15 papers), Engineering Diagnostics and Reliability (14 papers), Fault Detection and Control Systems (12 papers) and Evolutionary Algorithms and Applications (11 papers). The work is most often cited by research in Control and Systems Engineering (2.8k citations), Industrial and Manufacturing Engineering (1.0k citations), Artificial Intelligence (3.1k citations), Computational Theory and Mathematics (1.0k citations) and Computer Vision and Pattern Recognition (1.2k citations). Wu Deng has collaborated with scholars based in China, Thailand and Finland. Frequent co-authors include Huimin Zhao, Junjie Xu, Yingjie Song, Xinhua Yang, Xiangbing Zhou, Huayue Chen, Guangyu Li, Yongquan Zhou, Huiling Chen and Rui Yao. Their work appears in journals such as Electronics, Applied Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence and Information Sciences.
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.