Peifang Deng

587 total citations
11 papers, 481 citations indexed

About

Peifang Deng is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Peifang Deng has authored 11 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Atmospheric Science. Recurrent topics in Peifang Deng's work include Remote-Sensing Image Classification (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Remote Sensing and Land Use (6 papers). Peifang Deng is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Remote Sensing and Land Use (6 papers). Peifang Deng collaborates with scholars based in China. Peifang Deng's co-authors include Kejie Xu, Hong Huang, Yuan Li and Guangyao Shi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Peifang Deng

11 papers receiving 471 citations

Peers

Peifang Deng
Kejie Xu China
Shuli Cheng China
Pengyuan Lv China
Yunpeng Bai China
Jinghui Yang China
Miaomiao Liang China
О. В. Выголов Russia
Fenlong Jiang China
Yaoguo Zheng China
Kejie Xu China
Peifang Deng
Citations per year, relative to Peifang Deng Peifang Deng (= 1×) peers Kejie Xu

Countries citing papers authored by Peifang Deng

Since Specialization
Citations

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

Fields of papers citing papers by Peifang Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peifang Deng

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

All Works

11 of 11 papers shown
1.
Xu, Kejie, Peifang Deng, & Hong Huang. (2022). Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images. IEEE Transactions on Big Data. 9(2). 542–554. 8 indexed citations
2.
Xu, Kejie, Peifang Deng, & Hong Huang. (2022). Vision Transformer: An Excellent Teacher for Guiding Small Networks in Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 97 indexed citations
3.
Xu, Kejie, et al.. (2021). HSRS-SC: a hyperspectral image dataset for remote sensing scene classification. Journal of Image and Graphics. 26(8). 1809–1822. 5 indexed citations
4.
Deng, Peifang, Kejie Xu, & Hong Huang. (2021). CNN-GCN-based dual-stream network for scene classification of remote sensing images. National Remote Sensing Bulletin. 25(11). 2270–2282. 6 indexed citations
5.
Xu, Kejie, Hong Huang, & Peifang Deng. (2021). Remote Sensing Image Scene Classification Based on Global–Local Dual-Branch Structure Model. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 47 indexed citations
6.
Xu, Kejie, Hong Huang, & Peifang Deng. (2021). CNN-GCN Joint Network for Remote Sensing Scene Classification. 4920–4923. 3 indexed citations
7.
Deng, Peifang, Kejie Xu, & Hong Huang. (2021). When CNNs Meet Vision Transformer: A Joint Framework for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 112 indexed citations
8.
Xu, Kejie, Hong Huang, Peifang Deng, & Yuan Li. (2021). Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5751–5765. 142 indexed citations
9.
Xu, Kejie, Hong Huang, & Peifang Deng. (2021). Attention-based Deep Feature Learning Network for Scene Classification of Hyperspectral Images. 2021 55th Asilomar Conference on Signals, Systems, and Computers. 2 indexed citations
10.
Deng, Peifang, Hong Huang, & Kejie Xu. (2020). A Deep Neural Network Combined With Context Features for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 12 indexed citations
11.
Xu, Kejie, Hong Huang, Peifang Deng, & Guangyao Shi. (2020). Two-stream feature aggregation deep neural network for scene classification of remote sensing images. Information Sciences. 539. 250–268. 47 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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2026