Anzhu Yu

2.6k total citations · 2 hit papers
80 papers, 1.9k citations indexed

About

Anzhu Yu is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anzhu Yu has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Media Technology, 40 papers in Atmospheric Science and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anzhu Yu's work include Remote-Sensing Image Classification (53 papers), Remote Sensing and Land Use (38 papers) and Advanced Image Fusion Techniques (16 papers). Anzhu Yu is often cited by papers focused on Remote-Sensing Image Classification (53 papers), Remote Sensing and Land Use (38 papers) and Advanced Image Fusion Techniques (16 papers). Anzhu Yu collaborates with scholars based in China, Germany and Australia. Anzhu Yu's co-authors include Bing Liu, Xuchu Yu, Pengqiang Zhang, Kuiliang Gao, Ruirui Wang, Wenyue Guo, Gang Wan, Zhixiang Xue, Xiangpo Wei and Xiong Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Anzhu Yu

72 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Few-Shot Learning for Hyperspectral Image Classification

2018 330 citations Bing Liu, Xuchu Yu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
A Frequency Decoupling Network for Semantic Segmentation of Remote Sensing Images

2025 25 citations Anzhu Yu et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anzhu Yu China	22	1.4k	872	652	314	178	80	1.9k
Haokui Zhang China	15	1.8k 1.3×	1.1k 1.3×	750 1.2×	323 1.0×	332 1.9×	30	2.4k
Junping Zhang China	20	1.2k 0.8×	546 0.6×	632 1.0×	171 0.5×	201 1.1×	167	1.7k
Otávio A. B. Penatti Brazil	15	1.1k 0.8×	409 0.5×	1.1k 1.7×	422 1.3×	286 1.6×	42	2.1k
Xuchu Yu China	20	1.5k 1.0×	984 1.1×	537 0.8×	337 1.1×	158 0.9×	52	1.8k
Chenxi Duan China	11	1.5k 1.1×	483 0.6×	1.1k 1.8×	275 0.9×	218 1.2×	18	2.2k
Zhu Han China	13	1.2k 0.8×	598 0.7×	423 0.6×	182 0.6×	114 0.6×	43	1.6k
Andrea Marinoni Italy	19	958 0.7×	645 0.7×	244 0.4×	167 0.5×	280 1.6×	79	1.5k
Xiaokang Zhang China	22	770 0.6×	415 0.5×	415 0.6×	219 0.7×	336 1.9×	71	1.5k
Ke Zheng China	18	1.3k 0.9×	319 0.4×	730 1.1×	194 0.6×	122 0.7×	55	1.8k

Countries citing papers authored by Anzhu Yu

Since Specialization

Citations

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

Fields of papers citing papers by Anzhu Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anzhu Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yu, Anzhu, Kuiliang Gao, Xiong You, et al.. (2025). Rethinking Semantic Segmentation With Multi-Grained Logical Prototype. IEEE Transactions on Image Processing. 34. 1469–1484. 1 indexed citations

Yu, Anzhu, et al.. (2025). Learning-Based Multiview Stereo for Remote Sensed Imagery With Relative Depth. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations

Sun, Yifan, Wenke Li, Yongsheng Zhang, et al.. (2025). Supervised Contrastive Learning for Indoor Point Cloud Oversegmentation. IEEE Transactions on Multimedia. 27. 9189–9201.

Yu, Anzhu, et al.. (2025). M ² Caps: learning multi-modal capsules of optical and SAR images for land cover classification. International Journal of Digital Earth. 18(1). 1 indexed citations

Yu, Anzhu, et al.. (2024). Refined equivalent pinhole model for large-scale 3D reconstruction from spaceborne CCD imagery. International Journal of Applied Earth Observation and Geoinformation. 134. 104164–104164.

Xue, Zhixiang, et al.. (2024). Multimodal self-supervised learning for remote sensing data land cover classification. Pattern Recognition. 157. 110959–110959. 15 indexed citations

Hu, Qingfeng, Kefei Zhang, Suqin Wu, et al.. (2024). A Fusion Framework for Producing an Accurate PWV Map With Spatiotemporal Continuity Based on GNSS, ERA5, and MODIS Data. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 4 indexed citations

Qiu, Chunping, et al.. (2023). Multi-Task Learning for Building Extraction and Change Detection from Remote Sensing Images. Applied Sciences. 13(2). 1037–1037. 13 indexed citations

Gao, Kuiliang, Anzhu Yu, Xiong You, et al.. (2023). Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples. Remote Sensing. 15(4). 1080–1080. 5 indexed citations

10.

Gao, Kuiliang, Anzhu Yu, Xiong You, Chunping Qiu, & Bing Liu. (2023). Prototype and Context-Enhanced Learning for Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 21 indexed citations

11.

Gao, Kuiliang, et al.. (2023). Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 16 indexed citations

12.

Gao, Kuiliang, et al.. (2023). Cross-Domain Multi-Prototypes with Contradictory Structure Learning for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing Images. Remote Sensing. 15(13). 3398–3398. 4 indexed citations

13.

Liu, Bing, Kuiliang Gao, Anzhu Yu, et al.. (2022). ES2FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images. Remote Sensing. 14(17). 4236–4236. 14 indexed citations

14.

Liu, Bing, Anzhu Yu, Kuiliang Gao, et al.. (2022). DSS-TRM: deep spatial–spectral transformer for hyperspectral image classification. European Journal of Remote Sensing. 55(1). 103–114. 42 indexed citations

15.

Qiu, Chunping, Anzhu Yu, Xiaodong Yi, et al.. (2022). Open Self-Supervised Features for Remote-Sensing Image Scene Classification Using Very Few Samples. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 13 indexed citations

16.

Gao, Kuiliang, Bing Liu, Xuchu Yu, & Anzhu Yu. (2022). Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification. IEEE Transactions on Image Processing. 31. 3449–3462. 59 indexed citations

17.

Sun, Yifan, Bing Liu, Xuchu Yu, et al.. (2022). Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 117 indexed citations

18.

Sun, Yifan, Bing Liu, Xuchu Yu, et al.. (2022). From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning. Remote Sensing. 14(20). 5118–5118. 14 indexed citations

19.

Yu, Anzhu, et al.. (2020). A Deep few-shot learning algorithm for hyperspectral image classification. SHILAP Revista de lepidopterología. 2 indexed citations

20.

Gao, Kuiliang, Wenyue Guo, Xuchu Yu, et al.. (2020). Deep Induction Network for Small Samples Classification of Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3462–3477. 32 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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