Lin Xiao

20.4k citations
298 papers · 14.5k indexed · 5 hit papers · h-index 58

Impact in

Papers in

Lin Xiao

282 papers receiving 14.1k citations

Hit Papers

BERT4Rec 2019 · 1.2k citations
1.2k200420262011201850010001.5k

Peers

Lin Xiao
Comparison fields: 5 of 165
  • Control and Systems Engineering 5.5k
  • Computer Networks and Communications 4.9k
  • Artificial Intelligence 5.7k
  • Statistical and Nonlinear Physics 1.4k
  • Computational Mathematics 58
Replace Shuai Li with:
Shuai Li China
Xinping Guan China
Alejandro Ribeiro United States
Shengli Xie China
Yang Shi Canada
Haibo He United States
Changyin Sun China
Yunong Zhang China
Jiming Chen China
Jiannong Cao Hong Kong
Lin Xiao relative to Shuai Li China Shuai Li's profile →
Citations per field
00.5×1.5×2.1×
Shuai Li · 1×
Citations per year

Countries citing papers authored by Lin Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lin Xiao, 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 Lin Xiao Line = papers co-authored together Lin Xiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20250
5 20241
6 202452
7 20243
8 20242
9 20246
10 20243
11 20234
12 202361
13 20238
14 20234
15 20236
16 202127
17 202042
18 202024
19
Dual-mode multi-phase sinusoidal oscillator with equal amplitudes
20163
20
Economic Performance for Predictive Control Systems under Model Uncertainty
20133

About Lin Xiao

Lin Xiao is a scholar working on Computational Mathematics, Control and Systems Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 298 papers that have together received 14.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (97 papers), Robotic Mechanisms and Dynamics (86 papers), Iterative Learning Control Systems (46 papers), Adaptive Control of Nonlinear Systems (34 papers), Control Systems and Identification (24 papers), Model Reduction and Neural Networks (22 papers), Advanced Numerical Analysis Techniques (19 papers) and Image and Video Stabilization (19 papers). The work is most often cited by research in Control and Systems Engineering (5.5k citations), Computer Networks and Communications (4.9k citations), Artificial Intelligence (5.7k citations), Statistical and Nonlinear Physics (1.4k citations) and Computational Mathematics (58 citations). Lin Xiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Stephen Boyd, Sanjay Lall, Bolin Liao, Yunong Zhang, Seung-Jean Kim, Jianhua Dai, Shuai Li, Wenwu Ou, Zhijun Zhang and Peng Jiang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Industrial Informatics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Fuzzy Systems.

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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2026