Yanjun Shu

480 citations
25 papers · 407 · h-index 10

Impact in

Papers in

Yanjun Shu

25 papers receiving 405 citations

Peers

Yanjun Shu
Comparison fields: 5 of 35
  • Computer Networks and Communications 278
  • Control and Systems Engineering 259
  • Statistical and Nonlinear Physics 84
  • Computational Theory and Mathematics 45
  • Artificial Intelligence 84
Replace Zhaoxia Duan with:
Zhaoxia Duan China
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Ramasamy Kavikumar South Korea
Yunzhe Men China
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Yanjun Shu relative to Zhaoxia Duan China Zhaoxia Duan's profile →
Citations per field
00.5×1.6×
Zhaoxia Duan · 1×
Citations per year

Countries citing papers authored by Yanjun Shu

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Yanjun Shu, 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 Yanjun Shu Line = papers co-authored together Yanjun Shu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017205
2 201531
3 201622
4 201719
5 201917
6 201615
7 201612
8 201711
9 202410
10 20159
11 20179
12 20168
13 20168
14 20236
15 20235
16 20205
17 20164
18 20163
19 20132
20 20251

About Yanjun Shu

Yanjun Shu is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 25 papers that have together received 407 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (13 papers), Stability and Control of Uncertain Systems (11 papers), Adaptive Control of Nonlinear Systems (7 papers), Stability and Controllability of Differential Equations (4 papers), Advanced Memory and Neural Computing (4 papers), Distributed Control Multi-Agent Systems (4 papers), Guidance and Control Systems (3 papers) and Adaptive Dynamic Programming Control (3 papers). The work is most often cited by research in Computer Networks and Communications (278 citations), Control and Systems Engineering (259 citations), Statistical and Nonlinear Physics (84 citations), Computational Theory and Mathematics (45 citations) and Artificial Intelligence (84 citations). Yanjun Shu has collaborated with scholars based in China, South Korea and South Africa. Frequent co-authors include Yajuan Liu, Ju H. Park, Bao‐Zhu Guo, Xinge Liu, Mei-Lan Tang, Wei Emma Zhang, Yuangong Sun, Jian Liu, Quan Z. Sheng and Shuo Tang. Their work appears in journals such as Advances in Difference Equations, International Journal of Control, Nonlinear Dynamics, Neurocomputing and International Journal of Machine Learning and Cybernetics.

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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