Xiaolin Ai

1.0k citations
31 papers · 772 indexed · h-index 14

Impact in

Papers in

Xiaolin Ai

29 papers receiving 755 citations

Peers

Xiaolin Ai
Comparison fields: 5 of 50
  • Control and Systems Engineering 467
  • Computer Networks and Communications 376
  • Aerospace Engineering 312
  • Computer Vision and Pattern Recognition 135
  • Industrial and Manufacturing Engineering 47
Replace Xiaobo Li with:
Xiaobo Li China
Zhenyue Jia China
Liang Han China
Shaobao Li China
Maopeng Ran China
Huaxin Qiu China
Hanchen Lu China
David Saldaña United States
Héctor M. Becerra Mexico
Christos K. Verginis Sweden
Xiaolin Ai relative to Xiaobo Li China Xiaobo Li's profile →
Citations per field
00.5×1.6×
Xiaobo Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaolin Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaolin Ai Line = papers co-authored together Xiaolin Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017233
2 201897
3 201965
4 201843
5 201942
6 201737
7 201934
8 201730
9 201529
10 201926
11 202020
12 201719
13 202217
14 202316
15 201712
16 20219
17 20219
18 20196
19 20195
20 20235

About Xiaolin Ai

Xiaolin Ai is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Aerospace Engineering, Public Health, Environmental and Occupational Health and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 772 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (15 papers), Adaptive Control of Nonlinear Systems (10 papers), Neural Networks Stability and Synchronization (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Guidance and Control Systems (6 papers), Robotic Path Planning Algorithms (5 papers), Reinforcement Learning in Robotics (4 papers) and Control and Dynamics of Mobile Robots (4 papers). The work is most often cited by research in Control and Systems Engineering (467 citations), Computer Networks and Communications (376 citations), Aerospace Engineering (312 citations), Computer Vision and Pattern Recognition (135 citations) and Industrial and Manufacturing Engineering (47 citations). Xiaolin Ai has collaborated with scholars based in China. Frequent co-authors include Jianqiao Yu, Zhenyue Jia, Yuanchuan Shen, Yongbo Chen, Yuesong Mei, Jianqiao Yu, Di Yang, Linlin Wang, Lin-Lin Wang and Zhiqiang Pu. Their work appears in journals such as Aerospace Science and Technology, Nonlinear Dynamics, International Journal of Robust and Nonlinear Control, The Aeronautical Journal and Chinese Journal of Aeronautics.

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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