Kaijian Xu
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications 9
- Soil Geostatistics and Mapping 4
- Soil Moisture and Remote Sensing 3
- Ecology top 5%
- Remote Sensing in Agriculture 20
- Analytical Chemistry top 5%
- Ecological Modeling top 10%
- Species Distribution and Climate Change 5
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services 6
- Plant Water Relations and Carbon Dynamics 3
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- Remote Sensing and Land Use 5
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Aquaculture (1 paper)
- Partner nations
- ChinaSwitzerlandTaiwan
In The Last Decade
Kaijian Xu
25 papers receiving 781 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Environmental Engineering 398
- Ecology 593
- Analytical Chemistry 97
- Ecological Modeling 41
- Global and Planetary Change 197
Countries citing papers authored by Kaijian Xu
This map shows the geographic impact of Kaijian Xu'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 Kaijian Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijian Xu more than expected).
Fields of papers citing papers by Kaijian Xu
This network shows the impact of papers produced by Kaijian Xu. 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 Kaijian Xu. The network helps show where Kaijian Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaijian Xu, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 48 | |
| 16 | 2019 | 2 | |
| 17 | 2019 | 104 | |
| 18 | 2019 | 38 | |
| 19 | Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indicesbreakdown → | 2019 | 336 |
| 20 | 2018 | 30 |
About Kaijian Xu
Kaijian Xu is a scholar working on Environmental Engineering, Ecological Modeling and Ecology, having authored 31 papers that have together received 795 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (20 papers), Remote Sensing and LiDAR Applications (9 papers), Land Use and Ecosystem Services (6 papers), Species Distribution and Climate Change (5 papers), Remote Sensing and Land Use (5 papers), Soil Geostatistics and Mapping (4 papers), Soil Moisture and Remote Sensing (3 papers) and Plant Water Relations and Carbon Dynamics (3 papers). The work is most often cited by research in Environmental Engineering (398 citations), Ecology (593 citations) and Analytical Chemistry (97 citations). Kaijian Xu has collaborated with scholars based in China, Switzerland and Taiwan. Frequent co-authors include Jibo Yue, Qingjiu Tian, Chengquan Zhou, Haikuan Feng, Guijun Yang, Jia Tian, Zhenhai Li, Wei Guo, Ping Zhao and Xinyu Dong. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Aquaculture.
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.