Xialei Liu

4.2k total citations · 2 hit papers
56 papers, 2.2k citations indexed

About

Xialei Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Xialei Liu has authored 56 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 10 papers in Molecular Biology. Recurrent topics in Xialei Liu's work include Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (17 papers) and Advanced Neural Network Applications (8 papers). Xialei Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (17 papers) and Advanced Neural Network Applications (8 papers). Xialei Liu collaborates with scholars based in China, Spain and Italy. Xialei Liu's co-authors include Joost van de Weijer, Andrew D. Bagdanov, Bartłomiej Twardowski, Marc Masana, Luis Herranz, Hakan Bilen, Weihong Li, Lu Yu, Shangling Jui and Chenshen Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Xialei Liu

46 papers receiving 2.1k citations

Hit Papers

Class-Incremental Learning: Survey an... 2017 2026 2020 2023 2022 2017 100 200 300

Peers

Xialei Liu
Comparison fields: 5 of 136
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 1.2k
  • Media Technology 241
  • Radiology, Nuclear Medicine and Imaging 159
  • Molecular Biology 124
Yujun Shen China
Yang Long China
Yujia Li China
Hai Su United States
Xinyu Liu China
Mohammed Elmogy Egypt
Jianjun Qian China
Evgin Göçeri Türkiye
Shyam Lal India
Yujun Shen China View profile →
Citations per field, relative to Xialei Liu
Xialei Liu · 1×
Citations per year, relative to Xialei Liu
Xialei Liu · 1×

Countries citing papers authored by Xialei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xialei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xialei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xialei Liu. A scholar is included among the top collaborators of Xialei 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 Xialei Liu. Xialei 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
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 6
7 4
8 0
9 0
10 5
11 13
12 7
13
Class-incremental learning: survey and performance evaluation
46
14
Continual Universal Object Detection
1
15 24
16
Memory Replay GANs: Learning to Generate New Categories without Forgetting
115
17 203
18 59
19 3
20
Algorithm of vision tracking for UAV navigation based on multi-constraint KLT
1

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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