Ruyi Feng

1.8k total citations · 2 hit papers
68 papers, 1.4k citations indexed

About

Ruyi Feng is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruyi Feng has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Media Technology, 31 papers in Atmospheric Science and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruyi Feng's work include Remote-Sensing Image Classification (42 papers), Remote Sensing and Land Use (30 papers) and Advanced Image Fusion Techniques (26 papers). Ruyi Feng is often cited by papers focused on Remote-Sensing Image Classification (42 papers), Remote Sensing and Land Use (30 papers) and Advanced Image Fusion Techniques (26 papers). Ruyi Feng collaborates with scholars based in China, Hong Kong and South Korea. Ruyi Feng's co-authors include Lizhe Wang, Yanfei Zhong, Wei Han, Liangpei Zhang, Runyu Fan, Jining Yan, Jia Chen, Tian Tian, Xiaohan Zhang and Xianju Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Optics Express.

In The Last Decade

Ruyi Feng

64 papers receiving 1.4k citations

Hit Papers

A survey of machine learning and deep learning in remote ... 2023 2026 2024 2025 2023 2024 40 80 120

Peers

Ruyi Feng
Xiong Xu China
Ming Hao China
Erzhu Li China
Jian Kang China
Ke Zheng China
Ruyi Feng
Citations per year, relative to Ruyi Feng Ruyi Feng (= 1×) peers Michal Shimoni

Countries citing papers authored by Ruyi Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ruyi Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruyi Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ruyi Feng. A scholar is included among the top collaborators of Ruyi Feng 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 Ruyi Feng. Ruyi Feng 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.
Dong, Jie, et al.. (2025). Remote sensing image interpretation of geological lithology via a sensitive feature self-aggregation deep fusion network. International Journal of Applied Earth Observation and Geoinformation. 137. 104384–104384. 2 indexed citations
2.
Fan, Runyu, Lizhe Wang, Zijian Xu, et al.. (2025). The first urban open space product of global 169 megacities using remote sensing and geospatial data. Scientific Data. 12(1). 586–586. 1 indexed citations
3.
Fan, Runyu, et al.. (2025). Refined Urban Informal Settlements’ Mapping at Agglomeration Scale With the Guidance of Background Knowledge From Easy-Accessed Crowdsourced Geospatial Data. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 7 indexed citations
4.
Feng, Ruyi, et al.. (2024). Toxicity studies of compound spermatogenic pill:Acute toxicity and subacute toxicity. Journal of Ethnopharmacology. 337(Pt 1). 118757–118757. 2 indexed citations
5.
Guan, Renxiang, Wenxuan Tu, Jun Wang, et al.. (2024). Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 73 indexed citations breakdown →
6.
Song, Yucheng, Shuo Wang, Qing Li, et al.. (2023). Vehicle Target Detection Method for Wide-Area SAR Images Based on Coarse-Grained Judgment and Fine-Grained Detection. Remote Sensing. 15(13). 3242–3242. 8 indexed citations
7.
Li, Zhi, Ruyi Feng, Lizhe Wang, & Tieyong Zeng. (2023). Spectral-spatial-sparse unmixing with superpixel-oriented graph Laplacian. International Journal of Remote Sensing. 44(8). 2573–2589. 2 indexed citations
8.
Sun, Kun, et al.. (2023). Towards Accurate Image Matching by Exploring Redundancy Between Multiple Descriptors. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 2 indexed citations
9.
Liu, Ziyu, Ruyi Feng, Lizhe Wang, & Tieyong Zeng. (2023). Gradient Prior Dilated Convolution Network for Remote Sensing Image Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 3945–3958. 5 indexed citations
10.
Liu, Ziyu, Ruyi Feng, Lizhe Wang, Wei Han, & Tieyong Zeng. (2022). Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 33 indexed citations
11.
Feng, Ruyi, et al.. (2021). Local Spatial Constraint and Total Variation for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 41 indexed citations
12.
Wang, Lizhe, et al.. (2021). Remote Sensing and Social Sensing Data Fusion for Fine-Resolution Population Mapping With a Multimodel Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 5973–5987. 37 indexed citations
13.
Fan, Runyu, Ruyi Feng, Wei Han, & Lizhe Wang. (2021). Urban Functional Zone Mapping With a Bibranch Neural Network via Fusing Remote Sensing and Social Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 11737–11749. 23 indexed citations
14.
Mu, Lin, et al.. (2021). GAN-Based LUCC Prediction via the Combination of Prior City Planning Information and Land-Use Probability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 10189–10198. 22 indexed citations
15.
Chen, Jia, Lizhe Wang, Ruyi Feng, et al.. (2020). CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation. IEEE Transactions on Geoscience and Remote Sensing. 59(7). 5851–5865. 60 indexed citations
16.
Feng, Ruyi, et al.. (2020). An Augmentation Attention Mechanism for High-Spatial-Resolution Remote Sensing Image Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3862–3878. 34 indexed citations
17.
Han, Wei, Runyu Fan, Lizhe Wang, et al.. (2020). Improving Training Instance Quality in Aerial Image Object Detection With a Sampling-Balance-Based Multistage Network. IEEE Transactions on Geoscience and Remote Sensing. 59(12). 10575–10589. 31 indexed citations
18.
Feng, Ruyi, et al.. (2020). High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 58(11). 8077–8092. 86 indexed citations
19.
Fan, Runyu, Ruyi Feng, Lizhe Wang, Jining Yan, & Xiaohan Zhang. (2020). Semi-MCNN: A Semisupervised Multi-CNN Ensemble Learning Method for Urban Land Cover Classification Using Submeter HRRS Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4973–4987. 52 indexed citations
20.
Liu, Zhiqun, Ruyi Feng, Lizhe Wang, Yanfei Zhong, & Liqin Cao. (2019). D-Resunet: Resunet and Dilated Convolution for High Resolution Satellite Imagery Road Extraction. 3927–3930. 29 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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