Xujun Yang

1.5k citations
38 papers · 1.3k · h-index 21

Impact in

Papers in

Xujun Yang

38 papers receiving 1.3k citations

Peers

Xujun Yang
Comparison fields: 5 of 83
  • Modeling and Simulation 204
  • Statistical and Nonlinear Physics 508
  • Computer Networks and Communications 834
  • Artificial Intelligence 379
  • Environmental Chemistry 88
Replace Rishabh Gupta with:
Rishabh Gupta India
Yusen Wu China
A.B. Roy India
Tengda Wei China
Qi Lü China
Yingxin Guo China
Shouming Zhong China
Hajime Maeda Japan
Xinge Liu China
Wen Sun China
Xujun Yang relative to Rishabh Gupta India Rishabh Gupta's profile →
Citations per field
00.5×10×20×30×44×
Rishabh Gupta · 1×
Citations per year

Countries citing papers authored by Xujun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xujun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014141
2 2018126
3 201997
4 201893
5 201689
6 201763
7 201760
8 201660
9 201658
10 201855
11 201854
12 201441
13 201041
14 201838
15 201731
16 201330
17 201624
18 201423
19 201523
20 202122

About Xujun Yang

Xujun Yang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Modeling and Simulation, Artificial Intelligence and Control and Systems Engineering, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (23 papers), Fractional Differential Equations Solutions (12 papers), stochastic dynamics and bifurcation (11 papers), Neural Networks and Applications (9 papers), Advanced Control Systems Design (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Algal biology and biofuel production (3 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Modeling and Simulation (204 citations), Statistical and Nonlinear Physics (508 citations), Computer Networks and Communications (834 citations), Artificial Intelligence (379 citations) and Environmental Chemistry (88 citations). Xujun Yang has collaborated with scholars based in China, Qatar and Saudi Arabia. Frequent co-authors include Qiankun Song, Chuandong Li, Tingwen Huang, Junjian Huang, Xiaofeng Chen, Zhenjiang Zhao, Yurong Liu, Shiping Wen, Shouming Zhong and Jianying Xiao. Their work appears in journals such as Neurocomputing, Neural Processing Letters, Neural Networks, Frontiers in Microbiology and Applied Mathematics and Computation.

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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