Xiaobo Liu

28 papers receiving 428 citations

Peers

Xiaobo Liu
Comparison fields: 5 of 109
  • Media Technology 41
  • Mechanical Engineering 132
  • Computer Vision and Pattern Recognition 54
  • Mechanics of Materials 65
  • Ocean Engineering 37
Replace Yuheng Liu with:
Yuheng Liu China
Li Mei China
Jiajun Wu China
Kai Qiao China
Guohua Wei China
Linghua Kong China
Yuming Zhang China
Shan Lin China
Yao Huang China
Yuqing Wang China
Xiaobo Liu relative to Yuheng Liu China Yuheng Liu's profile →
Citations per field
00.5×5.6×
Yuheng Liu · 1×
Citations per year

Countries citing papers authored by Xiaobo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 202053
3 201851
4 201644
5 202144
6 201628
7 202421
8 201815
9 200812
10 201812
11 202010
12 202110
13 20199
14 19918
15 20198
16 20167
17
DIGITAL IMAGE PROCESSING: SUPERVISED CLASSIFICATION USING GENETIC ALGORITHM IN MATLAB TOOLBOX
20106
18 20196
19 20086
20 20204

About Xiaobo Liu

Xiaobo Liu is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Media Technology, Atmospheric Science and Molecular Biology, having authored 32 papers that have together received 442 indexed citations. Recurring topics across this work include Mineral Processing and Grinding (6 papers), Remote Sensing and Land Use (5 papers), Remote-Sensing Image Classification (4 papers), Video Surveillance and Tracking Methods (3 papers), Geotechnical and Geomechanical Engineering (3 papers), Advanced Image Fusion Techniques (3 papers), Mesenchymal stem cell research (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Media Technology (41 citations), Mechanical Engineering (132 citations), Computer Vision and Pattern Recognition (54 citations), Mechanics of Materials (65 citations) and Ocean Engineering (37 citations). Xiaobo Liu has collaborated with scholars based in China, Australia and Mexico. Frequent co-authors include Liancheng Wang, Yuwei Zhang, Duosheng Li, Mingfu Fu, Yetong Feng, Wugui Jiang, Pengfei Liu, Yao Wu, Yaoyu Chen and Qing‐Hua Qin. Their work appears in journals such as Energy Sources Part A Recovery Utilization and Environmental Effects, IEEE Access, Scientific Reports, Geotechnical and Geological Engineering and RSC Advances.

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.

Explore authors with similar magnitude of impact