Libo Yang

537 citations
36 papers · 380 · h-index 8

Impact in

    • Robotic Path Planning Algorithms
    • Advanced Vision and Imaging
    • Advanced Data Compression Techniques
    • Image and Video Quality Assessment
    • Advanced Image Processing Techniques
    • Video Coding and Compression Technologies

Papers in

Libo Yang

29 papers receiving 355 citations

Peers

Libo Yang
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 272
  • Signal Processing 106
  • Software 18
  • Computer Graphics and Computer-Aided Design 15
  • Aerospace Engineering 91
Replace Chenxu Zhao with:
Chenxu Zhao China
Emily Johnston United States
You Li China
Jun Ling China
Weichao Qiu United States
Kwang-Seok Moon South Korea
Xinggang Lin China
Simon Korman Israel
Chengpo Mu China
Dmytro Bobkov Germany
Libo Yang relative to Chenxu Zhao China Chenxu Zhao's profile →
Citations per field
00.5×1.5×2.0×
Chenxu Zhao · 1×
Citations per year

Countries citing papers authored by Libo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Libo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002120
2 200572
3 200444
4 200623
5 202118
6 202015
7 200215
8 20237
9 20247
10 20236
11 20196
12 20235
13 20045
14 20215
15 20205
16 20204
17 20204
18 20034
19 20253
20 20202

About Libo Yang

Libo Yang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 36 papers that have together received 380 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (5 papers), Video Coding and Compression Technologies (4 papers), Face and Expression Recognition (3 papers), Age of Information Optimization (3 papers), Machine Learning and ELM (3 papers), Advanced Data Compression Techniques (3 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (272 citations), Signal Processing (106 citations), Software (18 citations), Computer Graphics and Computer-Aided Design (15 citations) and Aerospace Engineering (91 citations). Libo Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Steven M. LaValle, Michael S. Branicky, Keman Yu, Shipeng Li, Li Jiang, Xuemei Liu, Jiang Li, Feiping Nie, Lingchen Wang and Hairui Li. Their work appears in journals such as IEEE Access, IEEE Transactions on Robotics and Automation, Journal of Hydrology, Electronics and Remote Sensing Letters.

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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