Xiaorun Li

854 total citations
66 papers, 634 citations indexed

About

Xiaorun Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Xiaorun Li has authored 66 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Media Technology, 23 papers in Computer Vision and Pattern Recognition and 22 papers in Atmospheric Science. Recurrent topics in Xiaorun Li's work include Remote-Sensing Image Classification (39 papers), Remote Sensing and Land Use (22 papers) and Advanced Image Fusion Techniques (17 papers). Xiaorun Li is often cited by papers focused on Remote-Sensing Image Classification (39 papers), Remote Sensing and Land Use (22 papers) and Advanced Image Fusion Techniques (17 papers). Xiaorun Li collaborates with scholars based in China, United States and Taiwan. Xiaorun Li's co-authors include Liaoying Zhao, Shuhan Chen, Chaoqun Xia, Chein‐I Chang, Wenqiang Zhang, Yuan Luo, Yunfeng Yan, Bai Xue, Shengwei Zhong and Jing Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and International Journal of Remote Sensing.

In The Last Decade

Xiaorun Li

62 papers receiving 609 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaorun Li China 14 321 214 206 132 81 66 634
Xiaorun Li China 16 517 1.6× 152 0.7× 240 1.2× 278 2.1× 102 1.3× 72 838
Carlos González Spain 15 379 1.2× 304 1.4× 91 0.4× 194 1.5× 94 1.2× 39 741
Raúl Guerra Spain 16 335 1.0× 229 1.1× 86 0.4× 111 0.8× 94 1.2× 43 644
Degang Wang China 8 430 1.3× 231 1.1× 102 0.5× 112 0.8× 117 1.4× 18 700
Qingwang Wang China 16 455 1.4× 317 1.5× 143 0.7× 219 1.7× 78 1.0× 67 797
Qinglei Du China 11 253 0.8× 126 0.6× 243 1.2× 134 1.0× 54 0.7× 40 555
Yuxi Sun China 10 289 0.9× 234 1.1× 71 0.3× 168 1.3× 91 1.1× 25 606
Daniel Mozos Spain 17 370 1.2× 294 1.4× 86 0.4× 191 1.4× 89 1.1× 66 951
Javier Resano Spain 15 289 0.9× 152 0.7× 56 0.3× 187 1.4× 75 0.9× 42 721
José F. López Spain 18 269 0.8× 339 1.6× 72 0.3× 108 0.8× 64 0.8× 89 807

Countries citing papers authored by Xiaorun Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorun Li

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

All Works

20 of 20 papers shown
1.
Li, Xiaorun, et al.. (2025). An Endmember-Oriented Transformer Network for Bundle-Based Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
2.
Luo, Yuan, Xiaorun Li, & Shuhan Chen. (2025). Independent Component Analysis-Based Infrared Dim and Small Target Detection. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
3.
Luo, Yuan, Xiaorun Li, & Shuhan Chen. (2025). Spatial-Temporal Aware-Based Unsupervised Network for Infrared Small Target Detection. IEEE Transactions on Multimedia. 27. 4895–4909. 1 indexed citations
4.
Sun, Weiwei, et al.. (2025). Difference Enhancement and Interscale Interactive Fusion Mamba for Remote Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
5.
Li, Xiaorun, et al.. (2024). Feedback Information-Guided Spectral Variability Attention Network for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 2 indexed citations
6.
Zhao, Liaoying, et al.. (2024). Hyperspectral Anomaly Detection via Enhanced Low-Rank and Smoothness Fusion Regularization Plus Saliency Prior. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18987–19002. 4 indexed citations
7.
Luo, Yuan, Xiaorun Li, & Shuhan Chen. (2024). Feedback Spatial–Temporal Infrared Small Target Detection Based on Orthogonal Subspace Projection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19. 7 indexed citations
8.
Zhao, Liaoying, et al.. (2024). Hyperspectral Anomaly Detection via MERA Decomposition and Enhanced Total Variation Regularization. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19. 10 indexed citations
9.
Li, Xiaorun, et al.. (2024). Unidirectional Local-Attention Autoencoder Network for Spectral Variability Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 7 indexed citations
10.
Li, Jinhui, Xiaorun Li, & Yunfeng Yan. (2023). Unlocking the Potential of Data Augmentation in Contrastive Learning for Hyperspectral Image Classification. Remote Sensing. 15(12). 3123–3123. 10 indexed citations
11.
Luo, Yuan, Xiaorun Li, Yunfeng Yan, & Chaoqun Xia. (2023). Spatial-Temporal Tensor Representation Learning With Priors for Infrared Small Target Detection. IEEE Transactions on Aerospace and Electronic Systems. 59(6). 9598–9620. 30 indexed citations
12.
Zhao, Liaoying, et al.. (2023). Enhanced Tensor Low-Rank Representation Learning for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 15 indexed citations
13.
Li, Xiaorun, et al.. (2023). Target-Driven Iterative Autoencoder for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 5 indexed citations
14.
Li, Yue, et al.. (2022). Experimental study on the seismic performance of steel frames with infill ALC wall panels. Journal of Building Engineering. 65. 105739–105739. 6 indexed citations
16.
Chen, Shuhan, Chein‐I Chang, & Xiaorun Li. (2021). Component Decomposition Analysis for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–22. 33 indexed citations
17.
Li, Xiaorun, et al.. (2020). Correntropy-Based Spatial-Spectral Robust Sparsity-Regularized Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 59(2). 1453–1471. 15 indexed citations
18.
Li, Xiaorun, et al.. (2019). A High Precision Feature Matching Method Based on Geometrical Outlier Removal for Remote Sensing Image Registration. IEEE Access. 7. 180027–180038. 7 indexed citations
19.
Zhang, Wenqiang, Xiaorun Li, & Liaoying Zhao. (2018). A Fast Hyperspectral Feature Selection Method Based on Band Correlation Analysis. IEEE Geoscience and Remote Sensing Letters. 15(11). 1750–1754. 40 indexed citations
20.
Li, Xiaorun, et al.. (2017). Nonnegative Matrix Factorization With Data-Guided Constraints For Hyperspectral Unmixing. Remote Sensing. 9(10). 1074–1074. 9 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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