Sen Jia

6.5k total citations · 5 hit papers
127 papers, 5.1k citations indexed

About

Sen Jia is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Sen Jia has authored 127 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Media Technology, 53 papers in Computer Vision and Pattern Recognition and 48 papers in Atmospheric Science. Recurrent topics in Sen Jia's work include Remote-Sensing Image Classification (95 papers), Advanced Image Fusion Techniques (51 papers) and Remote Sensing and Land Use (48 papers). Sen Jia is often cited by papers focused on Remote-Sensing Image Classification (95 papers), Advanced Image Fusion Techniques (51 papers) and Remote Sensing and Land Use (48 papers). Sen Jia collaborates with scholars based in China, Australia and United States. Sen Jia's co-authors include Yuntao Qian, Qingquan Li, Meng Xu, Jiasong Zhu, Shiqi Yu, Xiuping Jia, Jun Zhou, Chunyan Xu, Antonio Robles‐Kelly and Shuguo Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Sen Jia

118 papers receiving 5.0k citations

Hit Papers

Convolutional neural networks for hyperspectral image cla... 2011 2026 2016 2021 2016 2011 2015 2021 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Jia China 37 4.0k 2.3k 1.7k 624 433 127 5.1k
Saurabh Prasad United States 33 3.9k 1.0× 2.0k 0.9× 1.6k 0.9× 763 1.2× 686 1.6× 139 5.3k
Jiangtao Peng China 38 3.1k 0.8× 1.6k 0.7× 1.2k 0.7× 897 1.4× 339 0.8× 168 4.7k
Hongjun Su China 30 2.8k 0.7× 1.7k 0.7× 1.2k 0.7× 584 0.9× 360 0.8× 145 3.9k
Zebin Wu China 36 4.1k 1.0× 1.8k 0.8× 2.1k 1.2× 594 1.0× 362 0.8× 231 5.3k
Hassan Ghassemian Iran 37 3.7k 0.9× 1.5k 0.6× 2.0k 1.2× 499 0.8× 450 1.0× 296 5.6k
Mercedes E. Paoletti Spain 32 3.8k 1.0× 2.0k 0.9× 1.8k 1.0× 578 0.9× 569 1.3× 98 4.8k
Juan M. Haut Spain 32 3.9k 1.0× 2.1k 0.9× 1.7k 1.0× 611 1.0× 584 1.3× 100 5.0k
Wenzhi Liao Belgium 36 4.0k 1.0× 1.4k 0.6× 2.3k 1.3× 513 0.8× 622 1.4× 121 5.3k
Liangpei Zhang China 35 4.1k 1.0× 1.7k 0.7× 2.7k 1.6× 526 0.8× 613 1.4× 68 5.4k
Yanfeng Gu China 31 4.3k 1.1× 2.5k 1.1× 2.2k 1.3× 762 1.2× 755 1.7× 204 6.2k

Countries citing papers authored by Sen Jia

Since Specialization
Citations

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

Fields of papers citing papers by Sen Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Jia. A scholar is included among the top collaborators of Sen Jia 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 Sen Jia. Sen Jia 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.
Jia, Sen, et al.. (2025). Adaptive Expert Learning for Hyperspectral and Multispectral Image Fusion. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
3.
Fu, Xiyou, et al.. (2025). SSDT: Multiscale Spatial–Spectral Dilated Transformer for Hyperspectral and Multispectral Image Fusion. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
4.
Fu, Xiyou, et al.. (2024). LGCT: Local-Global Collaborative Transformer for Fusion of Hyperspectral and Multispectral Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 9 indexed citations
5.
Mu, Lin, et al.. (2024). Research on the Drift Prediction of Marine Floating Debris: A Case Study of the South China Sea Maritime Drift Experiment. Journal of Marine Science and Engineering. 12(2). 357–357. 3 indexed citations
6.
Jia, Sen, et al.. (2024). A Center-Masked Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 16 indexed citations
7.
Jia, Sen, et al.. (2024). Hyperspectral anomaly detection based on spatial-spectral multichannel autoencoders. National Remote Sensing Bulletin. 28(1). 55–68. 1 indexed citations
8.
Wang, Liqiong, et al.. (2024). Scale Pyramid Graph Network for Hyperspectral Individual Tree Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14.
9.
Jia, Sen, et al.. (2023). Multiscale spatial–spectral transformer network for hyperspectral and multispectral image fusion. Information Fusion. 96. 117–129. 99 indexed citations breakdown →
10.
Jia, Sen, et al.. (2023). Diffused Convolutional Neural Network for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 25 indexed citations
12.
Mu, Lin, et al.. (2022). Research on sunken & submerged oil detection and its behavior process under the action of breaking waves based on YOLO v4 algorithm. Marine Pollution Bulletin. 179. 113682–113682. 5 indexed citations
13.
Zhang, Shuyu, et al.. (2022). Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 5 indexed citations
14.
Mei, Shaohui, Bowei Zhang, Mingyang Ma, & Sen Jia. (2021). Predicting near-infrared hyperspectral images from visible hyperspectral images. Journal of Image and Graphics. 26(8). 1786–1795.
15.
Zhu, Zhiyu, Hui Liu, Junhui Hou, Sen Jia, & Qingfu Zhang. (2021). Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images. IEEE Transactions on Computational Imaging. 7. 1176–1188. 26 indexed citations
16.
Zhang, Shun, et al.. (2021). Hyperspectral Imagery Spatial Super-Resolution Using Generative Adversarial Network. IEEE Transactions on Computational Imaging. 7. 948–960. 19 indexed citations
18.
Jia, Sen, et al.. (2014). A novel feature voting model for text classification. 1. 306–311. 1 indexed citations
19.
Shen, Linlin, et al.. (2014). Coding 3D Gabor Features for Hyperspectral Palmprint Recognition. 169–173. 6 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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