Xiu Kan

628 citations
40 papers · 465 · h-index 11

Impact in

Papers in

Xiu Kan

34 papers receiving 447 citations

Peers

Xiu Kan
Comparison fields: 5 of 71
  • Computer Networks and Communications 258
  • Signal Processing 71
  • Artificial Intelligence 186
  • Control and Systems Engineering 114
  • Computer Vision and Pattern Recognition 58
Replace Manal Abdullah Alohali with:
Manal Abdullah Alohali Saudi Arabia
Haina Tang China
David J. Parish United Kingdom
Nannan Lu China
Hongwu Lv China
Emad-ul-Haq Qazi Saudi Arabia
Mayank Sharma India
Tarem Ahmed Bangladesh
Abas Md Said Malaysia
Xiu Kan relative to Manal Abdullah Alohali Saudi Arabia Manal Abdullah Alohali's profile →
Citations per field
00.5×1.5×2.2×
Manal Abdullah Alohali · 1×
Citations per year

Countries citing papers authored by Xiu Kan

Since Specialization
Citations

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

Fields of papers citing papers by Xiu Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021159
2 202043
3 201334
4 201930
5 201727
6 201717
7 202314
8 201414
9 201414
10 202111
11 202210
12 20229
13 20189
14 20219
15 20217
16 20147
17 20125
18 20145
19 20155
20 20245

About Xiu Kan

Xiu Kan is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Finance and Biomedical Engineering, having authored 40 papers that have together received 465 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (12 papers), Neural Networks Stability and Synchronization (8 papers), Control Systems and Identification (7 papers), Stochastic processes and financial applications (5 papers), Anomaly Detection Techniques and Applications (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Network Security and Intrusion Detection (4 papers) and Distributed Control Multi-Agent Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (258 citations), Signal Processing (71 citations), Artificial Intelligence (186 citations), Control and Systems Engineering (114 citations) and Computer Vision and Pattern Recognition (58 citations). Xiu Kan has collaborated with scholars based in China, Saudi Arabia and Australia. Frequent co-authors include Huisheng Shu, Yixuan Fan, Naixue Xiong, Zhijun Fang, Huaping Liu, Jinling Liang, Zidong Wang, Weiqiang Gong, Le Cao and Chi‐Hung Chi. Their work appears in journals such as Neurocomputing, International Journal of Systems Science, IEEE Access, Nonlinear Dynamics and Abstract and Applied Analysis.

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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