Shiming Xiang

1.3k total citations · 2 hit papers
14 papers, 1.0k citations indexed

About

Shiming Xiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shiming Xiang has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Shiming Xiang's work include Advanced Vision and Imaging (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). Shiming Xiang is often cited by papers focused on Advanced Vision and Imaging (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). Shiming Xiang collaborates with scholars based in China and United States. Shiming Xiang's co-authors include Chunhong Pan, Xueyun Chen, Cheng‐Lin Liu, Chunhong Pan, Changshui Zhang, Feiping Nie, Gaofeng Meng, Ying Wang, Feihu Zhang and Longquan Dai and has published in prestigious journals such as IEEE Transactions on Image Processing, Geophysical Journal International and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Shiming Xiang

12 papers receiving 1.0k citations

Hit Papers

Vehicle Detection in Satellite Images by Hybrid Deep Conv... 2012 2026 2016 2021 2014 2012 100 200 300 400

Peers

Shiming Xiang
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 668
  • Media Technology 363
  • Artificial Intelligence 261
  • Computational Mechanics 120
  • Atmospheric Science 101
Replace Baodi Liu with:
Baodi Liu China
Yibing Zhan China
Ying Yu China
Si-Bao Chen China
Jamie Sherrah Australia
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Baodi Liu China View profile →
Citations per field, relative to Shiming Xiang
Shiming Xiang · 1×
Citations per year, relative to Shiming Xiang
Shiming Xiang · 1×

Countries citing papers authored by Shiming Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Shiming Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiming Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiming Xiang. A scholar is included among the top collaborators of Shiming Xiang 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 Shiming Xiang. Shiming Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 3
5 1
6 1
7 14
8 14
9 54
10 37
11 1
12
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks breakdown →
478
13
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection breakdown →
391
14 30

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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