Linli Xu

3.5k total citations · 1 hit paper
62 papers, 2.2k citations indexed

About

Linli Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Linli Xu has authored 62 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Mechanics. Recurrent topics in Linli Xu's work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Sparse and Compressive Sensing Techniques (8 papers). Linli Xu is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Sparse and Compressive Sensing Techniques (8 papers). Linli Xu collaborates with scholars based in China, Canada and United States. Linli Xu's co-authors include Enhong Chen, Junyuan Xie, Dale Schuurmans, James Neufeld, Junliang Guo, Koby Crammer, Tie‐Yan Liu, Tao Qin, Wenye Li and Xu Tan and has published in prestigious journals such as IEEE Access, Neurocomputing and Machine Learning.

In The Last Decade

Linli Xu

57 papers receiving 2.1k citations

Hit Papers

Image Denoising and Inpainting with Deep Neural Networks 2012 2026 2016 2021 2012 250 500 750

Peers

Linli Xu
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 1.0k
  • Media Technology 313
  • Signal Processing 192
  • Information Systems 182
Replace Martín Arjovsky with:
Martín Arjovsky United States
Hamid R. Rabiee Iran
Thomas Navin Lal Germany
Feilong Cao China
Bin Song China
Miaomiao Li China
Rajat Raina United States
Xinzhong Zhu China
Lei Yu China
Rong Jin United States
Martín Arjovsky United States View profile →
Citations per field, relative to Linli Xu
Linli Xu · 1×
Citations per year, relative to Linli Xu
Linli Xu · 1×

Countries citing papers authored by Linli Xu

Since Specialization
Citations

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

Fields of papers citing papers by Linli Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linli Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Linli Xu. A scholar is included among the top collaborators of Linli Xu 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 Linli Xu. Linli Xu 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 2
3 2
4 2
5 7
6 5
7 1
8 11
9 2
10
Incorporating BERT into Parallel Sequence Decoding with Adapters
9
11 35
12 40
13 16
14
Word embedding revisited: a new representation learning and explicit matrix factorization perspective
54
15 19
16
Image Denoising and Inpainting with Deep Neural Networks breakdown →
763
17
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
20
18
Robust support vector machine training via convex outlier ablation
112
19
Unsupervised and semi-supervised multi-class support vector machines
117
20
Maximum Margin Clustering
291

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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