Shuli Cheng

877 total citations · 2 hit papers
25 papers, 612 citations indexed

About

Shuli Cheng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, Shuli Cheng has authored 25 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 7 papers in Atmospheric Science. Recurrent topics in Shuli Cheng's work include Remote-Sensing Image Classification (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Image Fusion Techniques (7 papers). Shuli Cheng is often cited by papers focused on Remote-Sensing Image Classification (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Image Fusion Techniques (7 papers). Shuli Cheng collaborates with scholars based in China. Shuli Cheng's co-authors include Liejun Wang, Yongming Li, Cui Zhang, Haojin Li, Di Lu, Shiji Song, JiaRui Li, Xingming Xiao, Yijun Zhang and Yao Ding and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Shuli Cheng

23 papers receiving 602 citations

Hit Papers

SwinSUNet: Pure Transformer Network for Remote Sensing Im... 2022 2026 2023 2024 2022 2023 100 200 300
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.

  1. SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection
    2022 311 citations Liejun Wang, Shuli Cheng et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  2. Asymmetric Cross-Attention Hierarchical Network Based on CNN and Transformer for Bitemporal Remote Sensing Images Change Detection
    2023 96 citations Shuli Cheng, Liejun Wang et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Shuli Cheng
О. В. Выголов Russia
Mi Zhang China
Pengyuan Lv China
Hang Fu China
Peifang Deng China
Kejie Xu China
Chao Pang China
Meiqi Hu China
Zhan Zongqian China
О. В. Выголов Russia
Shuli Cheng
Citations per year, relative to Shuli Cheng Shuli Cheng (= 1×) peers О. В. Выголов

Countries citing papers authored by Shuli Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shuli Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuli Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Shuli Cheng. A scholar is included among the top collaborators of Shuli Cheng 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 Shuli Cheng. Shuli Cheng 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.
2.
Li, JiaRui & Shuli Cheng. (2024). AFENet: An Attention-Focused Feature Enhancement Network for the Efficient Semantic Segmentation of Remote Sensing Images. Remote Sensing. 16(23). 4392–4392. 7 indexed citations
3.
Cheng, Shuli, et al.. (2024). Multi-Stage Auxiliary Learning for Visible-Infrared Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 12032–12047. 15 indexed citations
4.
Cheng, Shuli, et al.. (2024). H2MWSTNet: A Hybrid Hierarchical Multigranularity Window Shift Transformer Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–21. 2 indexed citations
5.
Cheng, Shuli, et al.. (2024). MS2I2Former: Multiscale Spatial–Spectral Information Interactive Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19. 6 indexed citations
6.
Wang, Liejun, et al.. (2024). A Multiscale Cascaded Cross-Attention Hierarchical Network for Change Detection on Bitemporal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 9 indexed citations
7.
8.
Ding, Yao, Zhili Zhang, Haojie Hu, et al.. (2024). Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images. 3 indexed citations
9.
Cheng, Shuli, et al.. (2024). ER-Swin: Feature Enhancement and Refinement Network Based on Swin Transformer for Semantic Segmentation of Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 3 indexed citations
10.
Xiao, Xingming, et al.. (2023). Deep hashing image retrieval based on hybrid neural network and optimized metric learning. Knowledge-Based Systems. 284. 111336–111336. 15 indexed citations
11.
Cheng, Shuli, et al.. (2023). Lightweight Remote-Sensing Image Super-Resolution via Attention-Based Multilevel Feature Fusion Network. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 26 indexed citations
12.
Cheng, Shuli, et al.. (2023). Asymmetric Cross-Attention Hierarchical Network Based on CNN and Transformer for Bitemporal Remote Sensing Images Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 96 indexed citations breakdown →
13.
Wang, Liejun, et al.. (2022). STransUNet: A Siamese TransUNet-Based Remote Sensing Image Change Detection Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 9241–9253. 23 indexed citations
14.
Lu, Di, Shuli Cheng, Liejun Wang, & Shiji Song. (2022). Multi-scale feature progressive fusion network for remote sensing image change detection. Scientific Reports. 12(1). 11968–11968. 32 indexed citations
15.
Wang, Liejun, et al.. (2022). Composed query image retrieval based on triangle area triple loss function and combining CNN with transformer. Scientific Reports. 12(1). 20800–20800. 4 indexed citations
16.
Yang, Wenjing, et al.. (2021). Deep Hash with Improved Dual Attention for Image Retrieval. Information. 12(7). 285–285. 4 indexed citations
17.
Cheng, Shuli, et al.. (2021). Low-Rank Semantic Feature Reconstruction Hashing for Remote Sensing Retrieval. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 2 indexed citations
18.
19.
Lu, Di, et al.. (2021). CANet: A Combined Attention Network for Remote Sensing Image Change Detection. Information. 12(9). 364–364. 7 indexed citations
20.
Cheng, Shuli, et al.. (2020). Deep Semantic-Preserving Reconstruction Hashing for Unsupervised Cross-Modal Retrieval. Entropy. 22(11). 1266–1266. 8 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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