Jun Yue
Impact in
- Media Technology top 0.2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Stock Market Forecasting Methods
Papers in ⓘ
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- Remote-Sensing Image Classification 35
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- Advanced Image and Video Retrieval Techniques 16
- Image Retrieval and Classification Techniques 9
- Advanced Neural Network Applications 5
- Co-authors
- Wei Bao (1 shared paper)Yulei Rao (1 shared paper)Leyuan Fang (32 shared papers)Shanjun Mao (4 shared papers)Wenzhi Zhao (3 shared papers)Hui Liu (1 shared paper)Pedram Ghamisi (8 shared papers)Shaobo Xia (10 shared papers)
In The Last Decade
Jun Yue
93 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Media Technology 1.3k
- Management Science and Operations Research 505
- Atmospheric Science 711
- Computer Vision and Pattern Recognition 680
- Finance 165
Countries citing papers authored by Jun Yue
This map shows the geographic impact of Jun Yue'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 Jun Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yue more than expected).
Fields of papers citing papers by Jun Yue
This network shows the impact of papers produced by Jun Yue. 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 Jun Yue. The network helps show where Jun Yue may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A deep learning framework for financial time series using stacked autoencoders and long-short term memory Hit paper breakdown → | 2017 | 675 |
| 2 | Spectral–spatial classification of hyperspectral images using deep convolutional neural networks Hit paper breakdown → | 2015 | 425 |
| 3 | 2015 | 163 | |
| 4 | Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models Hit paper breakdown → | 2023 | 125 |
| 5 | 2016 | 119 | |
| 6 | 2021 | 104 | |
| 7 | 2022 | 71 | |
| 8 | 2023 | 66 | |
| 9 | 2023 | 65 | |
| 10 | 2023 | 65 | |
| 11 | 2020 | 63 | |
| 12 | 2022 | 60 | |
| 13 | 2022 | 51 | |
| 14 | 2020 | 37 | |
| 15 | 2024 | 33 | |
| 16 | 2021 | 33 | |
| 17 | 2024 | 30 | |
| 18 | 2007 | 29 | |
| 19 | 2022 | 27 | |
| 20 | 2023 | 26 |
About Jun Yue
Jun Yue is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Global and Planetary Change and Artificial Intelligence, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (35 papers), Remote Sensing and Land Use (18 papers), Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (9 papers), Domain Adaptation and Few-Shot Learning (7 papers), Land Use and Ecosystem Services (6 papers), Advanced Neural Network Applications (5 papers) and Remote Sensing in Agriculture (4 papers). The work is most often cited by research in Media Technology (1.3k citations), Management Science and Operations Research (505 citations), Atmospheric Science (711 citations), Computer Vision and Pattern Recognition (680 citations) and Finance (165 citations). Jun Yue has collaborated with scholars based in China, Germany and Austria. Frequent co-authors include Wei Bao, Yulei Rao, Leyuan Fang, Shanjun Mao, Wenzhi Zhao, Hui Liu, Pedram Ghamisi, Shaobo Xia, Li Mei and He Min. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing, Remote Sensing, New Zealand Journal of Agricultural Research and International Journal of Sustainable Development & World Ecology.
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.