X.-G. Xia

573 citations
25 papers · 395 · h-index 8

Impact in

Papers in

X.-G. Xia

21 papers receiving 371 citations

Peers

X.-G. Xia
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 216
  • Signal Processing 106
  • Media Technology 82
  • Applied Mathematics 79
  • Aerospace Engineering 58
Replace Olcay Akay with:
Olcay Akay Türkiye
Yukihiko Yamashita Japan
Farrokh Marvasti Iran
Roger L. Claypoole United States
Liqiang Guo China
Marcelo G. S. Bruno Brazil
Ning Fu China
Liyan Qiao China
V.K. Aatre Canada
A. Papandreou United States
X.-G. Xia relative to Olcay Akay Türkiye Olcay Akay's profile →
Citations per field
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Olcay Akay · 1×
Citations per year

Countries citing papers authored by X.-G. Xia

Since Specialization
Citations

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

Fields of papers citing papers by X.-G. Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X.-G. Xia. 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 X.-G. Xia. The network helps show where X.-G. Xia may publish in the future.

Co-authors

The 19 scholars most cited alongside X.-G. Xia, 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 X.-G. Xia Line = papers co-authored together X.-G. Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996201
2 200039
3 200822
4 200022
5 200722
6 201016
7 199615
8 199210
9 19927
10 20087
11 20236
12 20055
13 19924
14 19953
15 19943
16 19933
17 20093
18 20212
19 19932
20 19911

About X.-G. Xia

X.-G. Xia is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Signal Processing, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 25 papers that have together received 395 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Mathematical Analysis and Transform Methods (8 papers), Cooperative Communication and Network Coding (4 papers), Blind Source Separation Techniques (3 papers), Coding theory and cryptography (3 papers), Advanced SAR Imaging Techniques (3 papers), Advanced Wireless Communication Techniques (3 papers) and Advanced Wireless Communication Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (216 citations), Signal Processing (106 citations), Media Technology (82 citations), Applied Mathematics (79 citations) and Aerospace Engineering (58 citations). X.-G. Xia has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Bruce W. Suter, Jeffrey S. Geronimo, Douglas P. Hardin, Xiaoyong Guo, Jia Xu, Y.‐N. Peng, Gen Li, Feng Tian, P.C. Ching and Xuefeng Liang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IET Radar Sonar & Navigation, Canadian Journal of Statistics and Signal Processing.

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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