Chengle Zhou

724 total citations
33 papers, 557 citations indexed

About

Chengle Zhou is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chengle Zhou has authored 33 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Media Technology, 19 papers in Atmospheric Science and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chengle Zhou's work include Remote-Sensing Image Classification (27 papers), Remote Sensing and Land Use (19 papers) and Advanced Image Fusion Techniques (11 papers). Chengle Zhou is often cited by papers focused on Remote-Sensing Image Classification (27 papers), Remote Sensing and Land Use (19 papers) and Advanced Image Fusion Techniques (11 papers). Chengle Zhou collaborates with scholars based in China and Spain. Chengle Zhou's co-authors include Bing Tu, Antonio Plaza, Yishu Peng, Xianchang Yang, Nanying Li, Guoyun Zhang, Siyuan Huang, Qianming Li, Zhi He and Xianfeng Ou and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and Neurocomputing.

In The Last Decade

Chengle Zhou

30 papers receiving 550 citations

Peers

Chengle Zhou
Shuguo Jiang China
Xianchuan Yu China
Na Chen China
Xiong Tan China
Zhaohui Xue China
Bobo Xi China
Yaoguo Zheng China
Kuiliang Gao China
Alp Ertürk Türkiye
Shuguo Jiang China
Chengle Zhou
Citations per year, relative to Chengle Zhou Chengle Zhou (= 1×) peers Shuguo Jiang

Countries citing papers authored by Chengle Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Chengle Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengle Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Chengle Zhou. A scholar is included among the top collaborators of Chengle Zhou 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 Chengle Zhou. Chengle Zhou 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.
Zhou, Chengle, et al.. (2025). HSACT: A hierarchical semantic-aware CNN-Transformer for remote sensing image spectral super-resolution. Neurocomputing. 636. 129990–129990. 3 indexed citations
2.
Dong, Jian, Miaomiao Liang, Zhi He, & Chengle Zhou. (2025). Hierarchical and Bidirectional Contrastive Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17.
3.
Zhou, Chengle, Zhi He, Jianwei Dong, et al.. (2025). Low-Rank and Sparse Representation Meet Deep Unfolding: A New Interpretable Network for Hyperspectral Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 5 indexed citations
4.
Zhou, Chengle, et al.. (2025). Wavelet-Inspired Sparse Learning Network for Hyperspectral Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
5.
Zhou, Chengle, et al.. (2025). A Selective Semantic Transformer for Spectral Super-Resolution of Multispectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7436–7450. 4 indexed citations
6.
He, Zhi, et al.. (2025). Coastal Wetlands Classification and Carbon Storage Estimation: A Case Study of the Region Surrounding the South China Sea. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 9464–9482.
7.
8.
He, Zhi, et al.. (2024). Long-term series wetland classification of Guangdong-Hong Kong-Macao Greater Bay Area based on APSMnet. International Journal of Applied Earth Observation and Geoinformation. 128. 103765–103765. 9 indexed citations
9.
Zhou, Chengle, et al.. (2023). Spectral‐spatial sequence characteristics‐based convolutional transformer for hyperspectral change detection. CAAI Transactions on Intelligence Technology. 8(4). 1237–1257. 25 indexed citations
10.
Zhou, Chengle, Qian Shi, Jun Li, & Xinchang Zhang. (2023). Spectral-Frequency Domain Attribute Pattern Fusion for Hyperspectral Image Change Detection. National Remote Sensing Bulletin. 0(0). 1–16.
11.
Peng, Yishu, Yuwen Zhang, Bing Tu, Chengle Zhou, & Qianming Li. (2022). Multiview Hierarchical Network for Hyperspectral and LiDAR Data Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 1454–1469. 20 indexed citations
12.
Tu, Bing, et al.. (2022). Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification. Remote Sensing. 14(8). 1814–1814. 1 indexed citations
13.
Tu, Bing, et al.. (2021). Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification. IEEE Transactions on Instrumentation and Measurement. 70. 1–16. 27 indexed citations
14.
Tu, Bing, et al.. (2021). Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification. IEEE Transactions on Instrumentation and Measurement. 70. 1–16. 17 indexed citations
15.
Zhou, Chengle, et al.. (2021). Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 23 indexed citations
16.
Zhou, Chengle, Bing Tu, Nanying Li, Wei He, & Antonio Plaza. (2021). Structure-Aware Multikernel Learning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 9837–9854. 6 indexed citations
17.
Tu, Bing, et al.. (2020). Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(12). 10503–10518. 20 indexed citations
18.
Tu, Bing, et al.. (2020). Spectral–Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation. IEEE Geoscience and Remote Sensing Letters. 18(5). 861–865. 44 indexed citations
19.
Tu, Bing, et al.. (2020). Hyperspectral Anomaly Detection Using Dual Window Density. IEEE Transactions on Geoscience and Remote Sensing. 58(12). 8503–8517. 48 indexed citations
20.
Tu, Bing, et al.. (2019). Hyperspectral image classification using spectral mixing metrics representation. Remote Sensing Letters. 10(4). 391–400. 5 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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