Xiu Kan

617 citations
40 papers · 453 indexed · h-index 11

Impact in

Papers in

Xiu Kan

33 papers receiving 430 citations

Peers

Xiu Kan
Comparison fields: 5 of 69
  • Computer Networks and Communications 256
  • Signal Processing 71
  • Artificial Intelligence 185
  • Control and Systems Engineering 112
  • Computer Vision and Pattern Recognition 55
Replace Haina Tang with:
Haina Tang China
Manal Abdullah Alohali Saudi Arabia
Hongwu Lv China
Raja Kumar Murugesan Malaysia
David J. Parish United Kingdom
Emad-ul-Haq Qazi Saudi Arabia
Nannan Lu China
Abas Md Said Malaysia
Tarem Ahmed Bangladesh
Xiu Kan relative to Haina Tang China Haina Tang's profile →
Citations per field
00.5×6.8×
Haina Tang · 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-authorship network

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
#Work
1 20242
2 20240
3 20232
4 202311
5 20229
6 2021156
7 20216
8 20200
9 20203
10 20191
11 20190
12 20171
13 201727
14 20155
15 20145
16 201414
17 20141
18
Almost sure state estimation for a class of nonlinear stochastic Markovian jump systems
20120
19 20120
20
[Cytopathology in China].
20052

About Xiu Kan

Xiu Kan is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Finance, Urban Studies and Artificial Intelligence, having authored 40 papers that have together received 453 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), Network Security and Intrusion Detection (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Distributed Control Multi-Agent Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (256 citations), Signal Processing (71 citations), Artificial Intelligence (185 citations), Control and Systems Engineering (112 citations) and Computer Vision and Pattern Recognition (55 citations). Xiu Kan has collaborated with scholars based in China, Saudi Arabia and Australia. Frequent co-authors include Huisheng Shu, Yixuan Fan, Zhijun Fang, Naixue Xiong, Jinling Liang, Huaping Liu, Zidong Wang, Le Cao, Weiqiang Gong and Chi‐Hung Chi. Their work appears in journals such as Neurocomputing, IEEE Access, Nonlinear Dynamics, International Journal of Systems Science and Information Sciences.

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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