Xiaobo Liu

2.1k total citations · 1 hit paper
63 papers, 1.5k citations indexed

About

Xiaobo Liu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xiaobo Liu has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Media Technology, 22 papers in Computer Vision and Pattern Recognition and 16 papers in Artificial Intelligence. Recurrent topics in Xiaobo Liu's work include Remote-Sensing Image Classification (31 papers), Advanced Image Fusion Techniques (14 papers) and Remote Sensing and Land Use (14 papers). Xiaobo Liu is often cited by papers focused on Remote-Sensing Image Classification (31 papers), Advanced Image Fusion Techniques (14 papers) and Remote Sensing and Land Use (14 papers). Xiaobo Liu collaborates with scholars based in China, Canada and Germany. Xiaobo Liu's co-authors include Zhihua Cai, Yaoming Cai, Edward G. Jones, Peyman Golshani, Zijia Zhang, Yongshan Zhang, Xinwei Jiang, Meng Zeng, Guangjun Wang and Zhentao Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.

In The Last Decade

Xiaobo Liu

54 papers receiving 1.5k citations

Hit Papers

BS-Nets: An End-to-End Framework for Band Selection of Hy... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Xiaobo Liu
Wei Tang United States
Rui Feng China
Xin Xu China
Lin Qi China
Sarp Ertürk Türkiye
He Zhao China
Wei Tang United States
Xiaobo Liu
Citations per year, relative to Xiaobo Liu Xiaobo Liu (= 1×) peers Wei Tang

Countries citing papers authored by Xiaobo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Liu. A scholar is included among the top collaborators of Xiaobo Liu 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 Xiaobo Liu. Xiaobo Liu 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.
Huang, Yisen, et al.. (2025). Self-Supervised Electrocardiograph De-Noising. IEEE Access. 13. 31326–31334. 2 indexed citations
2.
Zhang, Zijia, et al.. (2025). MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 2 indexed citations
3.
Guo, Cheng, et al.. (2025). Efficient remote sensing image classification using the novel STConvNeXt convolutional network. Scientific Reports. 15(1). 8406–8406. 2 indexed citations
4.
Zhang, Zhen, Qiannan Yang, Shibei Xue, et al.. (2025). Lactobacillus helveticus mitigates diarrhea and inflammation induced by enterotoxigenic E. coli through rebalance of gut microbiota. Current Research in Food Science. 11. 101147–101147.
5.
Tang, Haoran, Xiaobo Liu, Jiuyao Du, et al.. (2024). Synergistic Doping Strategy with Novel Multi‐Carbonyl Conductive Polymer Enables Stable Self‐Powered Perovskite Photodetectors. Small. 21(3). e2406568–e2406568. 1 indexed citations
6.
Cai, Yaoming, et al.. (2024). Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6341–6354. 21 indexed citations
7.
Huang, Yisen, et al.. (2024). Association between phenotypic age and mortality risk in individuals with obesity: a retrospective cohort study. Frontiers in Public Health. 12. 1505066–1505066.
8.
Cai, Yaoming, Zijia Zhang, Pedram Ghamisi, et al.. (2023). Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Information Sciences. 649. 119655–119655. 24 indexed citations
9.
Cai, Yaoming, Zijia Zhang, Pedram Ghamisi, et al.. (2023). Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Transactions on Intelligent Systems and Technology. 14(3). 1–23. 6 indexed citations
10.
Lu, Pengyu, Xinwei Jiang, Yongshan Zhang, et al.. (2023). Spectral–Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 22 indexed citations
11.
Qu, Fuming, et al.. (2023). Study on the Stability Evolution Law of Expansive Soft Rock Roadway Affected by Seasonal Wet-Dry Cycle. Archives of Mining Sciences. 165–182. 1 indexed citations
12.
Cai, Yaoming, Zijia Zhang, Pedram Ghamisi, et al.. (2022). Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 50 indexed citations
13.
Zhang, Zijia, Yaoming Cai, Wenyin Gong, et al.. (2021). Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 676–686. 12 indexed citations
14.
Cai, Yaoming, Zijia Zhang, Zhihua Cai, Xiaobo Liu, & Xinwei Jiang. (2021). Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 40 indexed citations
15.
Jiang, Xinwei, et al.. (2021). Spectral–Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 72 indexed citations
16.
Cai, Yaoming, Zijia Zhang, Xiaobo Liu, & Zhihua Cai. (2020). Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4869–4880. 48 indexed citations
17.
Wen, Xin, Li Dong, Junjie Chen, et al.. (2020). Detecting the Information of Functional Connectivity Networks in Normal Aging Using Deep Learning From a Big Data Perspective. Frontiers in Neuroscience. 13. 1435–1435. 5 indexed citations
18.
Liu, Xiaobo, et al.. (2019). Ore Image Segmentation Method of Conveyor Belt Based on U-Net and Res_UNet Models. Journal of Northeastern University. 40(11). 1623. 5 indexed citations
19.
Liu, Xiaobo, et al.. (2019). Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network. Journal of Advanced Computational Intelligence and Intelligent Informatics. 23(5). 883–890. 4 indexed citations
20.
Liu, Xiaobo, Zhentao Liu, Guangjun Wang, Zhihua Cai, & Harry Zhang. (2017). Ensemble Transfer Learning Algorithm. IEEE Access. 6. 2389–2396. 79 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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