Baodi Liu

1.8k citations
166 papers · 1.2k · h-index 20

Impact in

Papers in

Baodi Liu

152 papers receiving 1.2k citations

Peers

Baodi Liu
Comparison fields: 5 of 88
  • Media Technology 435
  • Computer Vision and Pattern Recognition 683
  • Artificial Intelligence 455
  • Atmospheric Science 143
  • Computational Mathematics 3
Replace Cong Bai with:
Cong Bai China
Lingjun Zhao China
Taiping Zhang China
Xi Yang China
Hongbing Ma China
Yibing Zhan China
Rui Song China
Shiming Xiang China
S. Arivazhagan India
Ruxin Wang China
Baodi Liu relative to Cong Bai China Cong Bai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Baodi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Baodi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 201249
3 201645
4 202240
5 202135
6 202231
7 202131
8 201229
9 202028
10 201924
11 202123
12 201822
13 202222
14 202221
15 202221
16 202419
17 202319
18 201719
19 201619
20 202219

About Baodi Liu

Baodi Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 166 papers that have together received 1.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (44 papers), Advanced Image and Video Retrieval Techniques (41 papers), Remote-Sensing Image Classification (39 papers), Face and Expression Recognition (23 papers), Advanced Image Fusion Techniques (20 papers), Image Retrieval and Classification Techniques (17 papers), Video Surveillance and Tracking Methods (16 papers) and Sparse and Compressive Sensing Techniques (15 papers). The work is most often cited by research in Media Technology (435 citations), Computer Vision and Pattern Recognition (683 citations), Artificial Intelligence (455 citations), Atmospheric Science (143 citations) and Computational Mathematics (3 citations). Baodi Liu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Weifeng Liu, Yanjiang Wang, Bin Shen, Shuai Shao, Yu-Xiong Wang, Rui Xu, Yujin Zhang, Xue Li, Yu‐Jin Zhang and Dapeng Tao. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Neurocomputing, IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Neural Processing 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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