Wu Deng

10.9k total citations · 18 hit papers
153 papers, 8.8k citations indexed

About

Wu Deng is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Wu Deng has authored 153 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 47 papers in Control and Systems Engineering and 25 papers in Mechanical Engineering. Recurrent topics in Wu Deng's work include Metaheuristic Optimization Algorithms Research (32 papers), Machine Fault Diagnosis Techniques (29 papers) and Gear and Bearing Dynamics Analysis (18 papers). Wu Deng is often cited by papers focused on Metaheuristic Optimization Algorithms Research (32 papers), Machine Fault Diagnosis Techniques (29 papers) and Gear and Bearing Dynamics Analysis (18 papers). Wu Deng collaborates with scholars based in China, Thailand and Ethiopia. Wu Deng's co-authors include Huimin Zhao, Junjie Xu, Yingjie Song, Xinhua Yang, Xiangbing Zhou, Huayue Chen, Guangyu Li, Yongquan Zhou, Huiling Chen and Rui Yao and has published in prestigious journals such as Scientific Reports, Materials Science and Engineering A and Expert Systems with Applications.

In The Last Decade

Wu Deng

141 papers receiving 8.6k citations

Hit Papers

An Improved Ant Colony Optimization Algorithm Based on Hy... 2016 2026 2019 2022 2019 2017 2020 2021 2020 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wu Deng China 47 3.0k 2.7k 1.5k 1.1k 1.1k 153 8.8k
Huimin Zhao China 33 2.2k 0.7× 2.4k 0.9× 1.2k 0.8× 792 0.7× 776 0.7× 103 6.7k
Vladimir Stojanović Serbia 61 1.8k 0.6× 3.2k 1.2× 941 0.6× 1.0k 0.9× 758 0.7× 87 6.9k
Weihua Gui China 48 1.7k 0.6× 4.1k 1.5× 2.9k 1.9× 815 0.7× 1.4k 1.3× 729 10.4k
Amir H. Alavi United States 64 5.5k 1.9× 1.2k 0.4× 1.9k 1.3× 862 0.8× 1.9k 1.8× 205 16.4k
Robert Babuška Netherlands 51 5.0k 1.7× 5.2k 1.9× 1.3k 0.9× 766 0.7× 1.7k 1.6× 336 12.4k
Chee Peng Lim Australia 59 4.5k 1.5× 2.1k 0.8× 581 0.4× 1.9k 1.6× 1.3k 1.2× 464 11.9k
Wen Yu Mexico 45 2.9k 1.0× 3.7k 1.4× 945 0.6× 846 0.7× 837 0.8× 637 9.0k
Vimal Savsani India 31 3.8k 1.3× 1.2k 0.5× 1.1k 0.7× 612 0.5× 1.8k 1.7× 66 8.0k
Xinyu Li China 69 3.2k 1.1× 3.3k 1.2× 2.0k 1.4× 878 0.8× 1.2k 1.2× 552 15.4k
Robert John United Kingdom 43 5.4k 1.8× 1.6k 0.6× 766 0.5× 545 0.5× 599 0.6× 246 9.4k

Countries citing papers authored by Wu Deng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wu Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Deng. A scholar is included among the top collaborators of Wu Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wu Deng. Wu Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Chen, et al.. (2025). A dendrite net learning multi-objective artificial bee colony algorithm for UAV. Applied Soft Computing. 189. 114449–114449.
2.
Ran, Xiaojuan, et al.. (2025). A novel fuzzy system-based genetic algorithm for trajectory segment generation in urban global positioning system. Journal of Advanced Research. 81. 469–480. 6 indexed citations
3.
Song, Yingjie, et al.. (2024). A dual-time dual-population multi-objective evolutionary algorithm with application to the portfolio optimization problem. Engineering Applications of Artificial Intelligence. 133. 108638–108638. 33 indexed citations
4.
Ran, Xiaojuan, et al.. (2024). A hybrid genetic-fuzzy ant colony optimization algorithm for automatic K-means clustering in urban global positioning system. Engineering Applications of Artificial Intelligence. 137. 109237–109237. 44 indexed citations
6.
Chen, Tao, et al.. (2024). Cross-Hopping Graph Networks for Hyperspectral–High Spatial Resolution (H2) Image Classification. Remote Sensing. 16(17). 3155–3155. 1 indexed citations
7.
Song, Yingjie, Ying Liu, Huayue Chen, & Wu Deng. (2023). A Multi-Strategy Adaptive Particle Swarm Optimization Algorithm for Solving Optimization Problem. Electronics. 12(3). 491–491. 16 indexed citations
8.
Zhang, Lifang, et al.. (2023). Rail Surface Defect Detection Based on Image Enhancement and Improved YOLOX. Electronics. 12(12). 2672–2672. 21 indexed citations
9.
Huang, Chen, Xiangbing Zhou, Xiaojuan Ran, et al.. (2023). Adaptive cylinder vector particle swarm optimization with differential evolution for UAV path planning. Engineering Applications of Artificial Intelligence. 121. 105942–105942. 122 indexed citations breakdown →
10.
Lv, Lei, et al.. (2023). Spectral Clustering Approach with K-Nearest Neighbor and Weighted Mahalanobis Distance for Data Mining. Electronics. 12(15). 3284–3284. 8 indexed citations
11.
Li, Ning, Guo Zhou, Yongquan Zhou, Wu Deng, & Qifang Luo. (2023). Multi-objective pathfinder algorithm for multi-objective optimal power flow problem with random renewable energy sources: wind, photovoltaic and tidal. Scientific Reports. 13(1). 10647–10647. 14 indexed citations
12.
Zhou, Yongquan, et al.. (2022). Improved chimp optimization algorithm for three-dimensional path planning problem. Multimedia Tools and Applications. 81(19). 27397–27422. 36 indexed citations
13.
Zhao, Huimin, Jie Liu, Huayue Chen, et al.. (2022). Intelligent Diagnosis Using Continuous Wavelet Transform and Gauss Convolutional Deep Belief Network. IEEE Transactions on Reliability. 72(2). 692–702. 228 indexed citations breakdown →
14.
Zhou, Xiangbing, et al.. (2021). Tri-Partition Alphabet-Based State Prediction for Multivariate Time-Series. Applied Sciences. 11(23). 11294–11294. 1 indexed citations
15.
Zhou, Guo, et al.. (2021). MOMPA: Multi-objective marine predator algorithm. Computer Methods in Applied Mechanics and Engineering. 385. 114029–114029. 99 indexed citations
16.
Deng, Wu, Hailong Liu, Junjie Xu, Huimin Zhao, & Yingjie Song. (2020). An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network. IEEE Transactions on Instrumentation and Measurement. 69(10). 7319–7327. 377 indexed citations breakdown →
17.
Li, Xiumei, et al.. (2017). A Novel Bearing Fault Diagnosis Method Based on LMD and Wavelet Packet Energy Entropy. International Journal of Emerging Electric Power Systems. 18(5). 6 indexed citations
18.
Li, Xiumei, et al.. (2017). Study on a Novel Bearing Fault Diagnosis Method from Frequency and Energy Perspective. International Journal of Emerging Electric Power Systems. 18(6). 1 indexed citations
19.
Deng, Wu. (2012). Analysis of vibration spectrum characteristics for asynchronous motor driven by inverter. Dianji yu kongzhi xuebao. 4 indexed citations
20.
Deng, Wu, Xinhua Yang, & Huimin Zhao. (2006). RESEARCH ON A DYNAMIC E-COMMERCE APPLICATION ARCHITECTURE BASED ON SOA and Web Service. Science Technology and Engineering. 236–239. 1 indexed citations

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.

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