Jingyu Ji
- Media Technology top 0.5%
- Remote-Sensing Image Classification 13
- Advanced Image Fusion Techniques 10
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- Image and Signal Denoising Methods 5
- Advanced Image and Video Retrieval Techniques 5
- Robotic Path Planning Algorithms 3
- Image Retrieval and Classification Techniques 3
- Atmospheric Science top 5%
- Remote Sensing and Land Use 10
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Shaohui MeiQian DuJunhui HouShuai WanXin YuanYifan ZhangZhi ZhangLi Xu
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Remote Sensing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jingyu Ji
24 papers receiving 963 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Media Technology 802
- Computer Vision and Pattern Recognition 444
- Atmospheric Science 376
- Computational Mathematics 4
- Analytical Chemistry 30
Countries citing papers authored by Jingyu Ji
This map shows the geographic impact of Jingyu Ji'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 Jingyu Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyu Ji more than expected).
Fields of papers citing papers by Jingyu Ji
This network shows the impact of papers produced by Jingyu Ji. 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 Jingyu Ji. The network helps show where Jingyu Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingyu Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 21 | |
| 11 | Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classificationbreakdown → | 2019 | 264 |
| 12 | 2018 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2017 | 258 | |
| 15 | 2017 | 253 | |
| 16 | 2017 | 9 | |
| 17 | 2017 | 7 | |
| 18 | 2017 | 0 | |
| 19 | 2016 | 17 | |
| 20 | 2016 | 55 |
About Jingyu Ji
Jingyu Ji is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 26 papers that have together received 984 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Advanced Image Fusion Techniques (10 papers), Remote Sensing and Land Use (10 papers), Image and Signal Denoising Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Robotic Path Planning Algorithms (3 papers), Image Retrieval and Classification Techniques (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Media Technology (802 citations), Computer Vision and Pattern Recognition (444 citations) and Atmospheric Science (376 citations). Jingyu Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shaohui Mei, Qian Du, Junhui Hou, Shuai Wan, Xin Yuan, Yifan Zhang, Zhi Zhang, Li Xu, Yicen Liu and Jun Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.
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.