Liujuan Cao

4.3k citations
108 papers · 2.7k indexed · 3 hit papers · h-index 24
Topics
Advanced Neural Network Applications (35 papers)Advanced Image and Video Retrieval Techniques (34 papers)Domain Adaptation and Few-Shot Learning (26 papers)

In The Last Decade

Liujuan Cao

101 papers receiving 2.6k citations

Hit Papers

Towards Optimal Structured CNN Pruning via Generative A...2015202620182022201920152021100200300

Peers

Liujuan Cao
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 1.9k
  • Artificial Intelligence 940
  • Molecular Biology 280
  • Media Technology 230
  • Aerospace Engineering 131
Replace Hongyuan Zhu with:
Hongyuan Zhu Singapore
Matthieu Cord France
Hongyang Chao China
Mingbo Zhao China
Baoyuan Wu China
Haojie Li China
Yilong Yin China
Guo-Sen Xie China
Jingjing Liu China
Liujuan Cao relative to Hongyuan Zhu Singapore Hongyuan Zhu's profile →
Citations per field
00.5×8.5×
Hongyuan Zhu · 1×
Citations per year

Countries citing papers authored by Liujuan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Liujuan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liujuan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Liujuan Cao. A scholar is included among the top collaborators of Liujuan Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liujuan Cao. Liujuan Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 14
5 8
6 1
7 5
8 4
9 2
10 5
11 2
12 9
13 18
14 56
15 11
16 59
17 29
18 14
19 13
20 19

About Liujuan Cao

Liujuan Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 108 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (35 papers), Advanced Image and Video Retrieval Techniques (34 papers) and Domain Adaptation and Few-Shot Learning (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Artificial Intelligence (940 citations) and Media Technology (230 citations). Liujuan Cao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Rongrong Ji, Feiyue Huang, Quan Zou, Yongjian Wu, Xiaoshuai Sun, Cheng Wang, Jonathan Li, Qixiang Ye, Baochang Zhang and Shaohui Lin. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

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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