Fashan Yu

875 citations
39 papers · 693 indexed · h-index 15

Fashan Yu

37 papers receiving 675 citations

Peers

Fashan Yu
Comparison fields: 5 of 41
  • Control and Systems Engineering 597
  • Computer Networks and Communications 175
  • Mechanical Engineering 171
  • Artificial Intelligence 50
  • Automotive Engineering 13
Replace Yao Wen with:
Yao Wen China
Xiucheng Dong China
Na Lin China
Francesco Alessandro Cuzzola Italy
Mao Wang China
Kamal Rsetam Australia
Xiaojie Sun China
Mohsen Ekramian Iran
Nazila Nikdel Iran
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Citations per year

Countries citing papers authored by Fashan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fashan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Fashan Yu, 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 Fashan Yu Line = papers co-authored together Fashan Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201322
2
Iterative learning control for farm vehicle trajectory tracking
20132
3 20133
4 201333
5
Iterative learning control for a class of linear continuous-time switched systems
201212
6
Iterative learning control for a class of nonlinear systems with measurement dropouts
20125
7 20124
8 201295
9 201216
10 20129
11
Formation Control of Mobile Robots with Input Constraints
20110
12 201141
13 20111
14 201128
15 20112
16 201150
17
Bearings-only multi-sensor multi-target tracking based on Rao-Blackwellized Monte Carlo data association
20102
18
Adaptive multi-class support vector machine for microarray classification and gene selection
20091
19
Distributed H ∞ consensus control for networks of multiple agents with linear coupling dynamics
20092
20 20081

About Fashan Yu

Fashan Yu is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, Ocean Engineering and Artificial Intelligence, having authored 39 papers that have together received 693 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (21 papers), Distributed Control Multi-Agent Systems (10 papers), Neural Networks Stability and Synchronization (8 papers), Advanced Control Systems Optimization (5 papers), Piezoelectric Actuators and Control (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Advanced machining processes and optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (597 citations), Computer Networks and Communications (175 citations), Mechanical Engineering (171 citations), Artificial Intelligence (50 citations) and Automotive Engineering (13 citations). Fashan Yu has collaborated with scholars based in China. Frequent co-authors include Xuhui Bu, Zhongsheng Hou, Deyuan Meng, Junping Du, Yingmin Jia, Yingmin Jia, Junping Du, Ziyi Fu, Wenling Li and Hongwei Zhang. Their work appears in journals such as International Journal of Systems Science, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Adaptive Control and Signal Processing, Abstract and Applied Analysis and IET Control Theory and Applications.

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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