Shiming Xiang
- Media Technology top 1%
- Remote-Sensing Image Classification 2
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- Advanced Vision and Imaging 3
- Advanced Image and Video Retrieval Techniques 2
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 2
- Domain Adaptation and Few-Shot Learning 2
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques 2
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- Seismic Imaging and Inversion Techniques 2
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- Hydraulic Fracturing and Reservoir Analysis 2
- Co-authors
- Chunhong PanXueyun ChenCheng‐Lin LiuChangshui ZhangFeiping NieGaofeng MengYing WangFeihu Zhang
- Journals
- IEEE Transactions on Image Processing (2 papers)Geophysical Journal International (1 paper)IEEE Transactions on Neural Networks and Learning Systems (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Shiming Xiang
12 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Media Technology 363
- Computer Vision and Pattern Recognition 668
- Artificial Intelligence 261
- Computational Mechanics 120
- Atmospheric Science 101
Countries citing papers authored by Shiming Xiang
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
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
The 25 scholars most cited alongside Shiming Xiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 14 | |
| 8 | 2016 | 14 | |
| 9 | 2015 | 54 | |
| 10 | 2015 | 37 | |
| 11 | 2014 | 1 | |
| 12 | Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networksbreakdown → | 2014 | 478 |
| 13 | Discriminative Least Squares Regression for Multiclass Classification and Feature Selectionbreakdown → | 2012 | 391 |
| 14 | 2009 | 30 |
About Shiming Xiang
Shiming Xiang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Remote-Sensing Image Classification (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Hydraulic Fracturing and Reservoir Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Media Technology (363 citations), Computer Vision and Pattern Recognition (668 citations) and Artificial Intelligence (261 citations). Shiming Xiang has collaborated with scholars based in China and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Image Processing, Geophysical Journal International and IEEE Transactions on Neural Networks and Learning Systems.
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.