Xiang Xu

931 citations
48 papers · 678 · 2 hit papers · h-index 14

Impact in

Papers in

Xiang Xu

41 papers receiving 665 citations

Xiang Xu's Hit Papers

DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing 2024 · 54 citations
540+1Years since publication255075

Peers

Xiang Xu
Comparison fields: 5 of 76
  • Media Technology 483
  • Atmospheric Science 244
  • Computer Vision and Pattern Recognition 172
  • Signal Processing 37
  • Computational Mathematics 2
Replace Xianfeng Ou with:
Xianfeng Ou China
Erlei Zhang China
Bai Xue China
Yuxi Sun China
Souleyman Chaib China
Baofeng Guo United Kingdom
Tianming Zhan China
Yao Yang China
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Citations per field
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Xianfeng Ou · 1×
Citations per year

Countries citing papers authored by Xiang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hyperspectral Image Classification Using Groupwise Separable Convolutional Vision Transformer Network
Hit paper breakdown →
202496
2 201794
3 202075
4
DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing
Hit paper breakdown →
202454
5 202353
6 201651
7 201741
8 200324
9 202023
10 201621
11 202017
12 201916
13 202114
14 201913
15 20239
16 20239
17 20237
18 20156
19 20186
20 20116

About Xiang Xu

Xiang Xu is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Signal Processing and Artificial Intelligence, having authored 48 papers that have together received 678 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (16 papers), Remote Sensing and Land Use (12 papers), Advanced Image Fusion Techniques (10 papers), Biometric Identification and Security (6 papers), Cloud Computing and Resource Management (4 papers), Image Retrieval and Classification Techniques (4 papers), Dermatoglyphics and Human Traits (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Media Technology (483 citations), Atmospheric Science (244 citations), Computer Vision and Pattern Recognition (172 citations), Signal Processing (37 citations) and Computational Mathematics (2 citations). Xiang Xu has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Antonio Plaza, Jun Li, Shutao Li, Yuanchao Su, Zhuoyi Zhao, Changshan Wu, Pengfei Li, Lianru Gao, Xu Sun and Qiong Yao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors, Journal of Non-Crystalline Solids, Biomedical Optics Express and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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