Xiao Fu

120 papers receiving 3.6k citations

Hit Papers

Learning to Optimize: Training Deep Neural Networks for Interference Management 2018 · 586 citations
5862017202620202023250500750

Peers

Xiao Fu
Comparison fields: 5 of 128
  • Computational Mathematics 1.0k
  • Signal Processing 713
  • Media Technology 461
  • Computational Mechanics 882
  • Computer Vision and Pattern Recognition 681
Replace Kejun Huang with:
Kejun Huang United States
Shuchin Aeron United States
Qi Xie China
Maryam Fazel United States
Amnon Shashua Israel
Yangyang Xu United States
Jie Chen China
Rafał Zdunek Poland
Canyi Lu China
Petr Tichavský Czechia
Xiao Fu relative to Kejun Huang United States Kejun Huang's profile →
Citations per field
00.5×
Kejun Huang · 1×
Citations per year

Countries citing papers authored by Xiao Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiao Fu, 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 Xiao Fu Line = papers co-authored together Xiao Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 202310
5 20220
6 202230
7 20228
8 20216
9 202021
10 202016
11 202054
12 202057
13 20201
14
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm
201913
15 20183
16
Learning to Optimize: Training Deep Neural Networks for Interference Management
Hit paper breakdown →
2018586
17
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
20183
18 20149
19
Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint
201317
20
An improved particle swarm optimization algorithm for coverage enhancement in directional sensor networks
20111

About Xiao Fu

Xiao Fu is a scholar working on Computational Mathematics, Signal Processing, Computational Mechanics, Media Technology and Computer Vision and Pattern Recognition, having authored 130 papers that have together received 3.7k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (47 papers), Blind Source Separation Techniques (32 papers), Tensor decomposition and applications (30 papers), Remote-Sensing Image Classification (15 papers), Face and Expression Recognition (14 papers), Image and Signal Denoising Methods (13 papers), Advanced Image Fusion Techniques (12 papers) and Indoor and Outdoor Localization Technologies (12 papers). The work is most often cited by research in Computational Mathematics (1.0k citations), Signal Processing (713 citations), Media Technology (461 citations), Computational Mechanics (882 citations) and Computer Vision and Pattern Recognition (681 citations). Xiao Fu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Nicholas D. Sidiropoulos, Kejun Huang, Mingyi Hong, Christos Faloutsos, Evangelos E. Papalexakis, Lieven De Lathauwer, Haoran Sun, Wing‐Kin Ma, Qingjiang Shi and Xiangyi Chen. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal of Selected Topics in Signal Processing, IEEE Signal Processing Magazine, IEEE Transactions on Knowledge and Data Engineering and IEEE Signal Processing 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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