Hui Xu

1.5k citations
101 papers · 949 indexed · 2 hit papers · h-index 17
Topics
Advanced Memory and Neural Computing (23 papers)Advanced Neural Network Applications (11 papers)Visual Attention and Saliency Detection (8 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Hui Xu

88 papers receiving 930 citations

Hit Papers

GPRInvNet: Deep Learning-Based Ground-Penetrating Radar D...202120262022202420212025255075100

Peers

Hui Xu
Comparison fields: 5 of 109
  • Electrical and Electronic Engineering 361
  • Computer Vision and Pattern Recognition 208
  • Artificial Intelligence 160
  • Cellular and Molecular Neuroscience 124
  • Ocean Engineering 122
Replace Jinhui Wang with:
Jinhui Wang China
N.B. Jones United Kingdom
Xiaojun Wu China
J.G. Harris United States
Hui Song China
Weili Yan China
Fearghal Morgan Ireland
Yong Liu China
Mohamed Manoufali Australia
Hui Xu relative to Jinhui Wang China Jinhui Wang's profile →
Citations per field
00.5×4.6×
Jinhui Wang · 1×
Citations per year

Countries citing papers authored by Hui Xu

Since Specialization
Citations

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

Fields of papers citing papers by Hui Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Xu. A scholar is included among the top collaborators of Hui 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 Hui Xu. Hui 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
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 10
6 2
7 0
8 1
9 1
10 0
11 0
12 1
13 4
14 16
15 6
16 56
17 46
18 1
19 0
20 4

About Hui Xu

Hui Xu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, having authored 101 papers that have together received 949 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Advanced Neural Network Applications (11 papers) and Visual Attention and Saliency Detection (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Ocean Engineering (122 citations) and Cellular and Molecular Neuroscience (124 citations). Hui Xu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Qingjiang Li, Haijun Liu, Bing Song, Sen Liu, Yuxiao Ren, Zhengfang Wang, Hanchi Liu, Bin Liu, Anthony G. Cohn and Peng Jiang. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

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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