Shao Xiang

1.4k total citations
41 papers, 889 citations indexed

About

Shao Xiang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Shao Xiang has authored 41 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 6 papers in Aerospace Engineering. Recurrent topics in Shao Xiang's work include Remote-Sensing Image Classification (10 papers), Advanced Image Fusion Techniques (7 papers) and Image and Signal Denoising Methods (6 papers). Shao Xiang is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Advanced Image Fusion Techniques (7 papers) and Image and Signal Denoising Methods (6 papers). Shao Xiang collaborates with scholars based in China, Canada and Germany. Shao Xiang's co-authors include Qiaokang Liang, Dan Zhang, Peng Tang, Xintong Yan, Gianmarc Coppola, Wei Sun, Guangqi Xie, Mi Wang, Wei Sun and Zhiqi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Journal of Medicinal Chemistry.

In The Last Decade

Shao Xiang

36 papers receiving 867 citations

Peers

Shao Xiang

ONCOL

CVPR

Aamir Shahzad Pakistan

Yi Guo Australia

Franck Marzani France

Mark Eramian Canada

Mei Zhou China

Mattia Savardi Italy

Byung‐Woo Hong South Korea

Imanol Luengo United Kingdom

Jiawei Jiang China

Aamir Shahzad Pakistan

Shao Xiang

121 ×0.4

70 ×0.3

ONCOL

167 ×0.8

CVPR

72 ×0.3

34 ×0.2

Citations per year, relative to Shao Xiang Shao Xiang (= 1×) peers Aamir Shahzad

Countries citing papers authored by Shao Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Shao Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao Xiang

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

All Works

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20 of 20 papers shown

Mao, Pan, et al.. (2025). TSNET: A solid waste instance segmentation model in China based on a Two-Step detection strategy and satellite remote sensing images. International Journal of Applied Earth Observation and Geoinformation. 136. 104366–104366.

Jia, Mingyue, et al.. (2025). Lu’e Biyan Formula for Treatment of Allergic Rhinitis Patients with Fei (Lung)-Qi Deficiency-Coldness Syndrome: A Randomized, Double Blind, and Placebo-Controlled Trial. Chinese Journal of Integrative Medicine. 31(11). 1029–1036.

Zhang, Zhiqi, et al.. (2024). B2CNet: A Progressive Change Boundary-to-Center Refinement Network for Multitemporal Remote Sensing Images Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 11322–11338. 18 indexed citations

Zhang, Zhiqi, et al.. (2024). MMAPP: Multibranch and Multiscale Adaptive Progressive Pyramid Network for Multispectral Image Pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 20129–20149. 2 indexed citations

Zhang, Zhiqi, et al.. (2024). KDP-Net: An Efficient Semantic Segmentation Network for Emergency Landing of Unmanned Aerial Vehicles. Drones. 8(2). 46–46. 2 indexed citations

Yao, Feng, et al.. (2024). A Progressive Implicit Neural Fusion Network for Multispectral Image Pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14935–14948.

Xiang, Shao & Qiaokang Liang. (2023). Remote sensing image compression with long-range convolution and improved non-local attention model. Signal Processing. 209. 109005–109005. 18 indexed citations

Zhang, Zhiqi, et al.. (2023). Recursive Self-Attention Modules-Based Network for Panchromatic and Multispectral Image Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 10067–10083. 7 indexed citations

Zhang, Zhiqi, et al.. (2023). Task-Driven Onboard Real-Time Panchromatic Multispectral Fusion Processing Approach for High-Resolution Optical Remote Sensing Satellite. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 7636–7661. 11 indexed citations

10.

Xiang, Shao, Qiaokang Liang, & Peng Tang. (2023). Task-Oriented Compression Framework for Remote Sensing Satellite Data Transmission. IEEE Transactions on Industrial Informatics. 20(3). 3487–3496. 13 indexed citations

11.

Zhang, Zhiqi, et al.. (2023). Fast Opium Poppy Detection in Unmanned Aerial Vehicle (UAV) Imagery Based on Deep Neural Network. Drones. 7(9). 559–559. 8 indexed citations

12.

Tang, Peng, Xintong Yan, Nan Yang, et al.. (2021). FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification. Medical Image Analysis. 76. 102307–102307. 77 indexed citations

13.

Tang, Peng, et al.. (2021). Feature Pyramid Nonlocal Network With Transform Modal Ensemble Learning for Breast Tumor Segmentation in Ultrasound Images. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(12). 3549–3559. 25 indexed citations

14.

Xiang, Shao, et al.. (2020). Assessment of the Bova score for risk stratification of acute normotensive pulmonary embolism: A systematic review and meta-analysis. Thrombosis Research. 193. 99–106. 18 indexed citations

15.

Wang, Dingyi, Shao Xiang, Jieping Lei, & Zhenguo Zhai. (2020). A survey of precision diagnosis and management capacity of pulmonary embolism in 90 hospitals of China. The Clinical Respiratory Journal. 14(7). 638–644. 2 indexed citations

16.

Xiang, Shao, et al.. (2020). [Risk factors and clinical features of hospital-associated venous thromboembolism].. PubMed. 100(20). 1539–1543. 1 indexed citations

17.

Tang, Peng, Qiaokang Liang, Xintong Yan, et al.. (2019). Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging. Computer Methods and Programs in Biomedicine. 178. 289–301. 145 indexed citations

18.

Xiang, Shao, et al.. (2019). AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification. Computer Methods and Programs in Biomedicine. 178. 275–287. 8 indexed citations

19.

Cai, Zhipeng, et al.. (2017). The Development of Chemical Process Simulation Software According to CAPE-OPEN. SHILAP Revista de lepidopterología. 1 indexed citations

20.

Xiang, Shao, et al.. (2014). A Control System Based on PXI Technology for the ECRH Power Supply of J-TEXT. IEEE Transactions on Plasma Science. 42(6). 1709–1713. 10 indexed citations

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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