Lingqiao Liu

274 total papers · 9.6k total citations
105 papers, 4.7k citations indexed

About

Lingqiao Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lingqiao Liu has authored 105 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computer Vision and Pattern Recognition, 62 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Lingqiao Liu's 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). Lingqiao Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (36 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Multimodal Machine Learning Applications (22 papers). Lingqiao Liu collaborates with scholars based in Australia, China and United States. Lingqiao Liu's co-authors include Chunhua Shen, Anton van den Hengel, Lei Wang, Dong Gong, Budhaditya Saha, Svetha Venkatesh, Moussa Reda Mansour, Vuong Le, Ian Reid and Xinwang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Applied Materials & Interfaces.

In The Last Decade

Lingqiao Liu

100 papers receiving 4.6k citations

Hit Papers

Memorizing Normality to D... 2011 2026 2016 2021 2019 2016 2011 2022 2023 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection
    2019 1.0k citations Dong Gong, Lingqiao Liu et al. profile →
  2. What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
    2016 315 citations Qi Wu, Chunhua Shen et al. Adelaide Research & Scholarship (AR&S) (University of Adelaide) profile →
  3. In defense of soft-assignment coding
    2011 305 citations Lingqiao Liu, Lei Wang et al. Adelaide Research & Scholarship (AR&S) (University of Adelaide) profile →
  4. Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
    2022 148 citations Liang Chen, Yong Zhang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  5. ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation
    2023 103 citations Yinjie Lei, Bowen Zhang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lingqiao Liu 2.9k 2.4k 580 578 335 105 4.7k
Yang Cong 2.0k 0.7× 1.8k 0.8× 379 0.7× 499 0.9× 230 0.7× 147 3.8k
Joey Tianyi Zhou 3.6k 1.3× 3.3k 1.4× 382 0.7× 438 0.8× 192 0.6× 168 6.4k
Qinfeng Shi 3.4k 1.2× 1.9k 0.8× 343 0.6× 254 0.4× 259 0.8× 123 5.3k
Yaowei Wang 3.4k 1.2× 1.6k 0.7× 497 0.9× 202 0.3× 260 0.8× 183 4.6k
Wei Zhang 2.6k 0.9× 1.0k 0.4× 519 0.9× 314 0.5× 414 1.2× 165 4.5k
Shenghua Gao 4.3k 1.5× 3.3k 1.4× 852 1.5× 1.6k 2.7× 209 0.6× 111 6.6k
Timothy M. Hospedales 5.6k 2.0× 3.4k 1.4× 716 1.2× 173 0.3× 321 1.0× 132 7.8k
Zhun Zhong 4.1k 1.4× 1.3k 0.5× 1.3k 2.3× 198 0.3× 213 0.6× 76 5.3k
Jingkuan Song 7.2k 2.5× 3.5k 1.5× 393 0.7× 328 0.6× 300 0.9× 224 9.0k
Xinchao Wang 3.6k 1.2× 1.7k 0.7× 637 1.1× 123 0.2× 353 1.1× 196 5.6k

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

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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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