Xiaolin Ai

1.0k total citations
31 papers, 772 citations indexed

About

Xiaolin Ai is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Xiaolin Ai has authored 31 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Control and Systems Engineering and 11 papers in Aerospace Engineering. Recurrent topics in Xiaolin Ai's work include Distributed Control Multi-Agent Systems (15 papers), Adaptive Control of Nonlinear Systems (10 papers) and Neural Networks Stability and Synchronization (8 papers). Xiaolin Ai is often cited by papers focused on Distributed Control Multi-Agent Systems (15 papers), Adaptive Control of Nonlinear Systems (10 papers) and Neural Networks Stability and Synchronization (8 papers). Xiaolin Ai collaborates with scholars based in China. Xiaolin Ai's co-authors include Jianqiao Yu, Zhenyue Jia, Yuanchuan Shen, Yongbo Chen, Yuesong Mei, Jianqiao Yu, Di Yang, Linlin Wang, Lin-Lin Wang and Jianqiang Yi and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Journal of the Franklin Institute and Applied Soft Computing.

In The Last Decade

Xiaolin Ai

29 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Ai China 14 467 376 312 135 73 31 772
Xiaobo Li China 13 558 1.2× 628 1.7× 200 0.6× 158 1.2× 130 1.8× 32 1.0k
Zhenyue Jia China 8 312 0.7× 211 0.6× 200 0.6× 115 0.9× 44 0.6× 11 501
Liang Han China 13 329 0.7× 438 1.2× 205 0.7× 74 0.5× 56 0.8× 66 741
Shaobao Li China 15 349 0.7× 577 1.5× 107 0.3× 65 0.5× 67 0.9× 57 773
Hanchen Lu China 14 807 1.7× 517 1.4× 366 1.2× 148 1.1× 107 1.5× 35 1.1k
Huaxin Qiu China 13 111 0.2× 314 0.8× 292 0.9× 167 1.2× 51 0.7× 37 590
Maopeng Ran China 16 719 1.5× 235 0.6× 192 0.6× 71 0.5× 96 1.3× 45 895
Yukang Cui China 17 475 1.0× 463 1.2× 84 0.3× 32 0.2× 68 0.9× 53 800
Héctor M. Becerra Mexico 15 418 0.9× 185 0.5× 265 0.8× 318 2.4× 59 0.8× 50 766
David Gómez‐Gutiérrez Mexico 16 785 1.7× 442 1.2× 151 0.5× 88 0.7× 135 1.8× 50 1.1k

Countries citing papers authored by Xiaolin Ai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Ai. A scholar is included among the top collaborators of Xiaolin 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 Xiaolin Ai. Xiaolin Ai 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.
Yi, Jianqiang, et al.. (2024). Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1688–1698. 1 indexed citations
3.
Yi, Jianqiang, et al.. (2024). A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9621–9635. 1 indexed citations
4.
Ai, Xiaolin, et al.. (2023). 3D deployment of UAV-mounted base stations for heterogeneous access requirements. Aerospace Science and Technology. 143. 108731–108731. 2 indexed citations
6.
Pu, Zhiqiang, Xiaolin Ai, & Jianqiang Yi. (2022). Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication. Nonlinear Dynamics. 109(4). 2781–2798. 3 indexed citations
7.
Ai, Xiaolin. (2022). Fixed-time consensus disturbance rejection for high-order nonlinear multi-agent systems with input saturation. Transactions of the Institute of Measurement and Control. 44(12). 2443–2453. 3 indexed citations
8.
Zhang, Yuhang, Yulian Jiang, Wenle Zhang, & Xiaolin Ai. (2022). Distributed coordinated tracking control for multi-manipulator systems under intermittent communications. Nonlinear Dynamics. 107(4). 3573–3591. 17 indexed citations
9.
Zhang, Yuhang, et al.. (2021). Observer‐based consensus control for heterogeneous multi‐agent systems with intermittent communications. International Journal of Robust and Nonlinear Control. 31(13). 6492–6506. 9 indexed citations
10.
Ai, Xiaolin. (2021). Distributed Nash equilibrium seeking for integrated game and control of multi-agent systems with input delay. Nonlinear Dynamics. 106(1). 583–603. 9 indexed citations
11.
Ai, Xiaolin & Jianqiao Yu. (2019). Fixed-time trajectory tracking for a quadrotor with external disturbances: A flatness-based sliding mode control approach. Aerospace Science and Technology. 89. 58–76. 65 indexed citations
12.
Ai, Xiaolin, et al.. (2019). Adaptive integrated guidance and control for impact angle constrained interception with actuator saturation. The Aeronautical Journal. 123(1267). 1437–1453. 6 indexed citations
13.
Ai, Xiaolin & Jianqiao Yu. (2019). Autonomous Navigation and Nonlinear Control for Quadrotors in a Structured Environment. Journal of Aerospace Engineering. 32(4). 2 indexed citations
14.
Jia, Zhenyue, Lin-Lin Wang, Jianqiao Yu, & Xiaolin Ai. (2019). Distributed adaptive neural networks leader-following formation control for quadrotors with directed switching topologies. ISA Transactions. 93. 93–107. 34 indexed citations
15.
Ai, Xiaolin & Jianqiao Yu. (2019). Flatness-based finite-time leader–follower formation control of multiple quadrotors with external disturbances. Aerospace Science and Technology. 92. 20–33. 42 indexed citations
16.
Ai, Xiaolin. (2019). Adaptive robust bipartite consensus of high-order uncertain multi-agent systems over cooperation-competition networks. Journal of the Franklin Institute. 357(3). 1813–1831. 26 indexed citations
17.
Ai, Xiaolin, Linlin Wang, Jianqiao Yu, & Yuanchuan Shen. (2018). Field-of-view constrained two-stage guidance law design for three-dimensional salvo attack of multiple missiles via an optimal control approach. Aerospace Science and Technology. 85. 334–346. 43 indexed citations
18.
Ai, Xiaolin, et al.. (2017). Adaptive robust consensus tracking for nonlinear second‐order multi‐agent systems with heterogeneous uncertainties. International Journal of Robust and Nonlinear Control. 27(18). 5082–5096. 37 indexed citations
19.
Ai, Xiaolin, et al.. (2017). Disturbance observer–based consensus tracking for nonlinear multiagent systems with switching topologies. International Journal of Robust and Nonlinear Control. 28(6). 2144–2160. 19 indexed citations
20.
Chen, Yongbo, Jianqiao Yu, Yuesong Mei, et al.. (2015). Trajectory optimization of multiple quad-rotor UAVs in collaborative assembling task. Chinese Journal of Aeronautics. 29(1). 184–201. 29 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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