Lingxi Xie

18.8k total citations · 6 hit papers
119 papers, 8.2k citations indexed

About

Lingxi Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lingxi Xie has authored 119 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Vision and Pattern Recognition, 62 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lingxi Xie's work include Advanced Neural Network Applications (57 papers), Domain Adaptation and Few-Shot Learning (44 papers) and Advanced Image and Video Retrieval Techniques (36 papers). Lingxi Xie is often cited by papers focused on Advanced Neural Network Applications (57 papers), Domain Adaptation and Few-Shot Learning (44 papers) and Advanced Image and Video Retrieval Techniques (36 papers). Lingxi Xie collaborates with scholars based in China, United States and Sweden. Lingxi Xie's co-authors include Qi Tian, Alan Yuille, Song Bai, Qingming Huang, Honggang Qi, Kaiwen Duan, Qi Tian, Kaifeng Bi, Qixiang Ye and Jianbin Jiao and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Lingxi Xie

118 papers receiving 8.0k citations

Hit Papers

CenterNet: Keypoint Triplets for Object Detection 2017 2026 2020 2023 2019 2023 2021 2017 2019 500 1000 1.5k 2.0k

Peers

Lingxi Xie
Comparison fields: 5 of 172
  • Computer Vision and Pattern Recognition 5.5k
  • Artificial Intelligence 2.8k
  • Aerospace Engineering 796
  • Media Technology 689
  • Radiology, Nuclear Medicine and Imaging 563
Replace Hanzi Mao with:
Hanzi Mao United States
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Samuel Albanie United Kingdom
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Citations per field, relative to Lingxi Xie
Lingxi Xie · 1×
Citations per year, relative to Lingxi Xie
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Countries citing papers authored by Lingxi Xie

Since Specialization
Citations

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

Fields of papers citing papers by Lingxi Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingxi Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Lingxi Xie. A scholar is included among the top collaborators of Lingxi Xie 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 Lingxi Xie. Lingxi Xie 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 1
2 2
3 13
4 9
5 2
6 5
7 66
8 41
9 14
10 7
11 43
12 12
13 6
14 10
15 98
16 112
17 4
18
Hierarchical Semantic Aggregation for Contrastive Representation Learning.
5
19
CenterNet: Object Detection with Keypoint Triplets
36
20
Towards Accurate Task Accomplishment with Low-Cost Robotic Arms
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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