Jize Xue

27 papers receiving 1.1k citations

Jize Xue's Hit Papers

Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion 2021 · 154 citations
1540+1+3Years since publication50100150

Peers

Jize Xue
Comparison fields: 5 of 55
  • Computational Mathematics 222
  • Media Technology 682
  • Computer Vision and Pattern Recognition 785
  • Computational Mechanics 476
  • Acoustics and Ultrasonics 9
Replace Teng-Yu Ji with:
Teng-Yu Ji China
Shaoguang Huang China
Meng Ding China
Zhiyuan Zha China
Jing‐Hua Yang China
Yongli Wang China
Zhengming Xing United States
Praneeth Narayanamurthy United States
Hongyi Liu China
Jize Xue relative to Teng-Yu Ji China Teng-Yu Ji's profile →
Citations per field
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Teng-Yu Ji · 1×
Citations per year

Countries citing papers authored by Jize Xue

Since Specialization
Citations

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

Fields of papers citing papers by Jize Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jize Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jize Xue Line = papers co-authored together Jize Xue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019176
2 2021162
3
Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion
Hit paper breakdown →
2021154
4 202288
5 201976
6 201774
7 202066
8 201951
9 201942
10 201931
11 202228
12 202425
13 202020
14 202219
15 201917
16 202214
17 202013
18 201813
19 202313
20 201712

About Jize Xue

Jize Xue is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computational Mathematics, Media Technology and Signal Processing, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (19 papers), Sparse and Compressive Sensing Techniques (19 papers), Tensor decomposition and applications (12 papers), Advanced Image Fusion Techniques (9 papers), Remote-Sensing Image Classification (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced Image Processing Techniques (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Computational Mathematics (222 citations), Media Technology (682 citations), Computer Vision and Pattern Recognition (785 citations), Computational Mechanics (476 citations) and Acoustics and Ultrasonics (9 citations). Jize Xue has collaborated with scholars based in China, Belgium and South Korea. Frequent co-authors include Yongqiang Zhao, Jonathan Cheung-Wai Chan, Wenzhi Liao, Seong G. Kong, Yuanyang Bu, Shaoguang Huang, Wilfried Philips, Chen Yi, Binglu Wang and Hongyan Zhang. Their work appears in journals such as Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Geoscience and Remote Sensing, Information Sciences and IEEE Geoscience and Remote Sensing Letters.

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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