Wu Ai

1.1k total citations
71 papers, 817 citations indexed

About

Wu Ai is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Wu Ai has authored 71 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 21 papers in Artificial Intelligence and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Wu Ai's work include Iterative Learning Control Systems (12 papers), Machine Learning and ELM (11 papers) and Neural Networks and Applications (11 papers). Wu Ai is often cited by papers focused on Iterative Learning Control Systems (12 papers), Machine Learning and ELM (11 papers) and Neural Networks and Applications (11 papers). Wu Ai collaborates with scholars based in China, United States and Hong Kong. Wu Ai's co-authors include Huazhou Chen, Zude Zhou, Quanxi Feng, Youping Chen, Bing Chen, Ken Cai, Weisheng Chen, Ke Chen, Yi Liu and Jin Xie and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Information Sciences.

In The Last Decade

Wu Ai

65 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wu Ai China	16	249	242	143	131	113	71	817
Rui Gao China	16	195 0.8×	117 0.5×	68 0.5×	164 1.3×	47 0.4×	42	778
Chengliang Liu China	13	50 0.2×	162 0.7×	36 0.3×	255 1.9×	31 0.3×	49	909
Shao Hui-he China	18	158 0.6×	951 3.9×	246 1.7×	119 0.9×	192 1.7×	105	1.4k
Yankai Cao Canada	19	599 2.4×	361 1.5×	57 0.4×	36 0.3×	38 0.3×	65	1.2k
Bo Lu United States	13	40 0.2×	226 0.9×	74 0.5×	79 0.6×	17 0.2×	34	560
Cong Liu China	16	99 0.4×	98 0.4×	704 4.9×	87 0.7×	50 0.4×	58	1.2k
Wu Wang China	13	133 0.5×	213 0.9×	32 0.2×	141 1.1×	60 0.5×	85	550
Javier Gámez García Spain	18	75 0.3×	222 0.9×	93 0.7×	272 2.1×	19 0.2×	99	1.0k
Aditya Tulsyan United States	16	154 0.6×	539 2.2×	172 1.2×	102 0.8×	14 0.1×	41	911
Bin Xing China	16	92 0.4×	56 0.2×	105 0.7×	41 0.3×	93 0.8×	74	684

Countries citing papers authored by Wu Ai

Since Specialization

Citations

This map shows the geographic impact of Wu Ai'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 Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Ai more than expected).

Fields of papers citing papers by Wu Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wu Ai. 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 Ai. The network helps show where Wu Ai may publish in the future.

Co-authorship network of co-authors of Wu Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Ai. A scholar is included among the top collaborators of Wu Ai 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 Ai. Wu Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhou, Yujun, et al.. (2023). Distributed sparse learning for stochastic configuration networks via alternating direction method of multipliers. Applied Intelligence. 53(20). 23522–23537. 1 indexed citations

Ai, Wu, et al.. (2023). Communication-efficient decentralized elastic-net broad learning system based on quantized and censored communications. Applied Soft Computing. 134. 109999–109999. 1 indexed citations

Camino, C., T. Poblete, Xiao Zhi, et al.. (2023). Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 8. 1952–1955. 1 indexed citations

Ai, Wu, Dafeng Zhang, Shuxing Zhou, et al.. (2023). Separable calcium sulphate modified biochar gel beads for efficient cadmium removal from wastewater. International Journal of Biological Macromolecules. 252. 126253–126253. 14 indexed citations

Feng, Quanxi, et al.. (2023). Differential evolution with the mutation strategy transformation based on a quartile for numerical optimization. Applied Intelligence. 54(1). 334–356. 2 indexed citations

Ai, Wu, et al.. (2022). Decentralized Federated Learning for Industrial IoT With Deep Echo State Networks. IEEE Transactions on Industrial Informatics. 19(4). 5849–5857. 21 indexed citations

Li, Shuling, Wu Ai, Jian Wu, & Quanxi Feng. (2021). A Fixed-time Distributed Algorithm for Least Square Solutions of Linear Equations. International Journal of Control Automation and Systems. 19(3). 1311–1318. 1 indexed citations

Cai, Ken, et al.. (2021). Feedback Convolutional Network for Intelligent Data Fusion Based on Near-Infrared Collaborative IoT Technology. IEEE Transactions on Industrial Informatics. 18(2). 1200–1209. 65 indexed citations

Ai, Wu & Dianhui Wang. (2020). Distributed stochastic configuration networks with cooperative learning paradigm. Information Sciences. 540. 1–16. 18 indexed citations

10.

Chen, Huazhou, et al.. (2020). Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy. The Science of The Total Environment. 714. 136765–136765. 48 indexed citations

11.

Chen, Huazhou, et al.. (2018). Quantitative analysis of soil nutrition based on FT-NIR spectroscopy integrated with BP neural deep learning. Analytical Methods. 10(41). 5004–5013. 26 indexed citations

12.

Peng, Wang, Youping Chen, Wu Ai, et al.. (2017). CMOS-Compatible Fabrication for Photonic Crystal-Based Nanofluidic Structure. Nanoscale Research Letters. 12(1). 103–103. 9 indexed citations

13.

Chen, Ke, Wu Ai, Bing Chen, & Yi Liu. (2016). A Novel Online Multivariate Identification for Autotuning Speed Control in PMSM Drives. Mathematical Problems in Engineering. 2016. 1–13. 1 indexed citations

14.

Ai, Wu, et al.. (2016). Control Design of the Brushless Doubly-Fed Machines for Stand-Alone VSCF Ship Shaft Generator Systems. Journal of Power Electronics. 16(1). 259–267. 40 indexed citations

15.

Liu, Yi, et al.. (2015). Operation control of the brushless doubly-fed machine for stand-alone ship shaft generator systems. 800–805. 5 indexed citations

16.

Li, Qiang, et al.. (2013). Variable angle compensation control of noncircular turning. The International Journal of Advanced Manufacturing Technology. 70(1-4). 735–746. 9 indexed citations

17.

Xie, Jianfeng, et al.. (2010). A hybrid control method of sliding mode and PID controllers based on adaptive controlled switching portion. Chinese Control Conference. 439–445. 5 indexed citations

18.

Ai, Wu. (2007). A Security Scheme for Power Dispatching Data Network Based on VPN. Dianli xitong zidonghua. 3 indexed citations

19.

Ai, Wu, et al.. (2007). A class of SIR epidemic model with saturation incidence and age of infection. 146–149. 5 indexed citations

20.

Pujolle, Guy & Wu Ai. (1986). A Solution For Multiserver And Multiclass Open Queueing Networks. INFOR Information Systems and Operational Research. 24(3). 221–230. 21 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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