Yanjun Xiao

752 citations
51 papers · 489 · h-index 11

Impact in

Papers in

    • Iterative Learning Control Systems 10
    • Fault Detection and Control Systems 7
    • Magnetic Bearings and Levitation Dynamics 5
    • Industrial Automation and Control Systems 5
    • Machine Fault Diagnosis Techniques 4
    • Advanced Control Systems Optimization 4
    • Industrial Technology and Control Systems 3

Yanjun Xiao

44 papers receiving 477 citations

Peers

Yanjun Xiao
Comparison fields: 5 of 79
  • Control and Systems Engineering 183
  • Signal Processing 67
  • Computer Networks and Communications 107
  • Computer Vision and Pattern Recognition 75
  • Information Systems 82
Replace Bo Mi with:
Bo Mi China
Guan Wang China
Paul Martin United States
Yuya Maruyama Japan
Ke Zhu China
Tan Zhang China
Zhanpeng Fang China
Siqi Huang China
Xiaofang Xia China
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Citations per field
00.5×
Bo Mi · 1×
Citations per year

Countries citing papers authored by Yanjun Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022112
2 200687
3 202043
4 201939
5 200931
6 202327
7 201315
8 202112
9 201112
10 200411
11 202110
12 20229
13 20057
14 20216
15 20226
16 20205
17 20225
18 20244
19 20224
20 20244

About Yanjun Xiao

Yanjun Xiao is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering and Computer Networks and Communications, having authored 51 papers that have together received 489 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (10 papers), Fault Detection and Control Systems (7 papers), Magnetic Bearings and Levitation Dynamics (5 papers), Industrial Automation and Control Systems (5 papers), Machine Fault Diagnosis Techniques (4 papers), Advanced Control Systems Optimization (4 papers), Industrial Technology and Control Systems (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Control and Systems Engineering (183 citations), Signal Processing (67 citations), Computer Networks and Communications (107 citations), Computer Vision and Pattern Recognition (75 citations) and Information Systems (82 citations). Yanjun Xiao has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Zhihong Tian, Zhiyong Zhang, Zonghua Zhang, Nan Gao, Nan Gao, Zhaozong Meng, Zhangying Wang, Xiangqian Jiang, Feng Gao and Hui Zhang. Their work appears in journals such as IEEE Access, Journal of Intelligent & Fuzzy Systems, PLoS ONE, Applied Optics and IEEE Transactions on Sustainable Computing.

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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