Lingqiao Liu

9.7k citations
105 papers · 4.7k indexed · 5 hit papers · h-index 32
Topics
Domain Adaptation and Few-Shot Learning (36 papers)Advanced Image and Video Retrieval Techniques (28 papers)Multimodal Machine Learning Applications (22 papers)

In The Last Decade

Lingqiao Liu

100 papers receiving 4.6k citations

Hit Papers

Memorizing Normality to Detect Anomaly:...2011202620162021201920162011202220232505007501000

Peers

Lingqiao Liu
Comparison fields: 5 of 157
  • Computer Vision and Pattern Recognition 2.9k
  • Artificial Intelligence 2.4k
  • Biomedical Engineering 584
  • Computer Networks and Communications 583
  • Aerospace Engineering 336
Replace Yang Cong with:
Yang Cong China
Ge Li China
Qinfeng Shi Australia
Shenghua Gao China
Naiyan Wang China
Mario Vento Italy
Mingli Song China
Zhun Zhong China
Muhammad Sharif Pakistan
Guanbin Li China
Lingqiao Liu relative to Yang Cong China Yang Cong's profile →
Citations per field
00.5×
Yang Cong · 1×
Citations per year

Countries citing papers authored by Lingqiao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lingqiao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingqiao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingqiao Liu. A scholar is included among the top collaborators of Lingqiao Liu 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 Lingqiao Liu. Lingqiao Liu 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 0
3 0
4 6
5 24
6 2
7 2
8 2
9 25
10 7
11 37
12 59
13 24
14 10
15 107
16 33
17 56
18 31
19 28
20 147

About Lingqiao Liu

Lingqiao Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 105 papers that have together received 4.7k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (36 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Multimodal Machine Learning Applications (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Artificial Intelligence (2.4k citations) and Media Technology (308 citations). Lingqiao Liu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Chunhua Shen, Anton van den Hengel, Lei Wang, Dong Gong, Moussa Reda Mansour, Svetha Venkatesh, Budhaditya Saha, Vuong Le, Ian Reid and Xinwang Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Applied Materials & Interfaces.

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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