Yajing Yu

500 citations
14 papers · 360 indexed · h-index 8

Yajing Yu

14 papers receiving 354 citations

Peers

Yajing Yu
Comparison fields: 5 of 51
  • Computer Networks and Communications 214
  • Control and Systems Engineering 205
  • Automotive Engineering 29
  • Aerospace Engineering 58
  • Computational Theory and Mathematics 36
Replace Lin‐Xing Xu with:
Lin‐Xing Xu China
Jieqiang Wei Sweden
Jiankun Sun China
Ricardo Sanz Spain
Hamed Kharrati Iran
Patrick Coirault France
Henrik Ebel Germany
Shuangshuang Xiong China
Pablo Rodríguez-Ramírez Mexico
Yajing Yu relative to Lin‐Xing Xu China Lin‐Xing Xu's profile →
Citations per field
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Lin‐Xing Xu · 1×
Citations per year

Countries citing papers authored by Yajing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yajing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Yajing 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 Yajing Yu Line = papers co-authored together Yajing Yu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202316
2 20231
3 202323
4 202267
5 2022107
6 20221
7 202110
8 20203
9 20188
10 20161
11 201628
12 201590
13 20151
14 20154

About Yajing Yu

Yajing Yu is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Human-Computer Interaction, Industrial and Manufacturing Engineering and Orthopedics and Sports Medicine, having authored 14 papers that have together received 360 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (6 papers), Neural Networks Stability and Synchronization (5 papers), Adaptive Control of Nonlinear Systems (4 papers), Stability and Control of Uncertain Systems (4 papers), Advanced Memory and Neural Computing (2 papers), UAV Applications and Optimization (2 papers), Adaptive Dynamic Programming Control (1 paper) and Vehicle Dynamics and Control Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (214 citations), Control and Systems Engineering (205 citations), Automotive Engineering (29 citations), Aerospace Engineering (58 citations) and Computational Theory and Mathematics (36 citations). Yajing Yu has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Jian Guo, Zhengrong Xiang, Choon Ki Ahn, Mohammed Chadli, Zidong Wang, Hongli Dong, Fuad E. Alsaadi, Weijian Ren, Yue Fu and Liqiang Jin. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IET Control Theory and Applications, Neural Computing and Applications, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

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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