Fashan Yu

877 citations
39 papers · 697 · h-index 15

Impact in

Papers in

Fashan Yu

37 papers receiving 681 citations

Peers

Fashan Yu
Comparison fields: 5 of 41
  • Control and Systems Engineering 599
  • Computer Networks and Communications 177
  • Mechanical Engineering 171
  • Artificial Intelligence 51
  • Biomedical Engineering 47
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Na Lin China
Xingyu Zhou China
Ahmad Afshar Iran
Ioannis Sarras France
Xiucheng Dong China
Mario Ramírez‐Neria Mexico
S. Huang Singapore
Pavel Pakshin Russia
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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-authors

The 19 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

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2 201292
3 201150
4 201350
5 201346
6 201141
7 200841
8 201333
9 201230
10 201128
11 201224
12 201323
13 201318
14 200916
15 201216
16 201114
17
Iterative learning control for a class of linear continuous-time switched systems
201212
18 200710
19 20129
20 20147

About Fashan Yu

Fashan Yu is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, Artificial Intelligence and Aerospace Engineering, having authored 39 papers that have together received 697 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), Piezoelectric Actuators and Control (5 papers), Advanced Control Systems Optimization (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Control Systems in Engineering (3 papers). The work is most often cited by research in Control and Systems Engineering (599 citations), Computer Networks and Communications (177 citations), Mechanical Engineering (171 citations), Artificial Intelligence (51 citations) and Biomedical Engineering (47 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, Nonlinear Analysis Real World Applications, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems I Regular Papers and Signal Processing.

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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