Junshi Xia
- Media Technology top 0.05%
- Remote-Sensing Image Classification 85
- Advanced Image Fusion Techniques 23
- Atmospheric Science top 1%
- Remote Sensing and Land Use 62
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications 9
- Ecology top 1%
- Remote Sensing in Agriculture 34
- Global and Planetary Change top 2%
- Land Use and Ecosystem Services 10
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- Water Quality and Pollution Assessment 10
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- Image Retrieval and Classification Techniques 9
Junshi Xia
135 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 143
- Media Technology 2.6k
- Atmospheric Science 1.8k
- Environmental Engineering 1.1k
- Ecology 1.4k
- Global and Planetary Change 1.1k
Countries citing papers authored by Junshi Xia
This map shows the geographic impact of Junshi Xia'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 Junshi Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junshi Xia more than expected).
Fields of papers citing papers by Junshi Xia
This network shows the impact of papers produced by Junshi Xia. 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 Junshi Xia. The network helps show where Junshi Xia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junshi Xia, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 44 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 72 | |
| 10 | 2021 | 60 | |
| 11 | 2021 | 39 | |
| 12 | 2018 | 39 | |
| 13 | 2018 | 43 | |
| 14 | 2018 | 25 | |
| 15 | 2018 | 109 | |
| 16 | 2017 | 90 | |
| 17 | 2017 | 152 | |
| 18 | 2017 | 248 | |
| 19 | 2016 | 15 | |
| 20 | A review of soil water resource research and application in China. | 2007 | 1 |
About Junshi Xia
Junshi Xia is a scholar working on Media Technology, Atmospheric Science, Ecology, Computer Vision and Pattern Recognition and Water Science and Technology, having authored 148 papers that have together received 5.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (85 papers), Remote Sensing and Land Use (62 papers), Remote Sensing in Agriculture (34 papers), Advanced Image Fusion Techniques (23 papers), Land Use and Ecosystem Services (10 papers), Water Quality and Pollution Assessment (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Media Technology (2.6k citations), Atmospheric Science (1.8k citations), Environmental Engineering (1.1k citations), Ecology (1.4k citations) and Global and Planetary Change (1.1k citations). Junshi Xia has collaborated with scholars based in China, Japan and France. Frequent co-authors include Peijun Du, Naoto Yokoya, Jocelyn Chanussot, Xiyan He, Sicong Liu, Kun Tan, Erzhu Li, Alim Samat, Akira Iwasaki and Guohe Huang. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.
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.