Xiaobo Li

583 citations
67 papers · 389 · h-index 11

Impact in

Papers in

    • Fault Detection and Control Systems 5
    • Control Systems and Identification 4
    • Advanced Control Systems Optimization 4
    • Advanced SAR Imaging Techniques 6
    • Radar Systems and Signal Processing 5
    • Military Defense Systems Analysis 4

Xiaobo Li

64 papers receiving 373 citations

Peers

Xiaobo Li
Comparison fields: 5 of 90
  • Fluid Flow and Transfer Processes 74
  • Control and Systems Engineering 104
  • Automotive Engineering 49
  • Software 13
  • Signal Processing 33
Replace Dean K. Frederick with:
Dean K. Frederick United States
Inseok Park South Korea
Miguel Caballer Spain
Elena De Santis Italy
S. Tosserams Netherlands
Önder Uluyol United States
Murat Onay Türkiye
A. Ebenezer Jeyakumar India
Mohamadreza Ahmadi United States
Xiaobo Li relative to Dean K. Frederick United States Dean K. Frederick's profile →
Citations per field
00.5×11×
Dean K. Frederick · 1×
Citations per year

Countries citing papers authored by Xiaobo Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201846
2 201925
3 201420
4 201517
5 201116
6 201616
7 201915
8 202115
9 201013
10 201012
11 201311
12 20149
13 20257
14 20197
15 20247
16 20027
17 20087
18 20117
19 20137
20 20226

About Xiaobo Li

Xiaobo Li is a scholar working on Control and Systems Engineering, Aerospace Engineering, Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 67 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (6 papers), Fault Detection and Control Systems (5 papers), Radar Systems and Signal Processing (5 papers), Advanced Combustion Engine Technologies (5 papers), Control Systems and Identification (4 papers), Military Defense Systems Analysis (4 papers), Simulation Techniques and Applications (4 papers) and Advanced Control Systems Optimization (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (74 citations), Control and Systems Engineering (104 citations), Automotive Engineering (49 citations), Software (13 citations) and Signal Processing (33 citations). Xiaobo Li has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Hugh H. T. Liu, Guixin Wang, Wenbin Yu, Rui Yang, Weiping Wang, Wentao Wu, Bin Jiang, Yifan Zhu, Tao Wang and Kemin Zhou. Their work appears in journals such as IEEE Access, Fuel, Energy Sources Part A Recovery Utilization and Environmental Effects, Electronics and Knowledge-Based Systems.

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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