Xiaohe Gu
- Ecology top 5%
- Remote Sensing in Agriculture 62
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 13
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 27
- Plant Science top 5%
- Smart Agriculture and AI 20
- Leaf Properties and Growth Measurement 14
- Agronomy and Crop Science top 5%
- Crop Yield and Soil Fertility 11
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- Remote Sensing and Land Use 36
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- Land Use and Ecosystem Services 13
- Journals
- SHILAP Revista de lepidopterología (3 papers)The Science of The Total Environment (1 paper)IEEE Transactions on Geoscience and Remote Sensing (3 papers)
- Partner nations
- ChinaUnited StatesFiji
In The Last Decade
Xiaohe Gu
108 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Ecology 617
- Environmental Engineering 318
- Analytical Chemistry 203
- Plant Science 455
- Agronomy and Crop Science 105
Countries citing papers authored by Xiaohe Gu
This map shows the geographic impact of Xiaohe Gu'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 Xiaohe Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohe Gu more than expected).
Fields of papers citing papers by Xiaohe Gu
This network shows the impact of papers produced by Xiaohe Gu. 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 Xiaohe Gu. The network helps show where Xiaohe Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaohe Gu, 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 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 33 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 36 | |
| 12 | 2023 | 15 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 1 | |
| 15 | High spectral inversion of winter wheat LAI based on new vegetation index. | 2018 | 3 |
| 16 | 2015 | 2 | |
| 17 | Radar polarimetric response features and remote sensing monitoring of wheat lodging. | 2014 | 12 |
| 18 | Monitoring the Pattern of Crop Rotation Through Remote Sensing | 2011 | 2 |
| 19 | Estimation of crop yield based on weight optimization combination and multi-temporal remote sensing data. | 2009 | 5 |
| 20 | Remote sensing measurement of corn planting area based on field-data. | 2009 | 7 |
About Xiaohe Gu
Xiaohe Gu is a scholar working on Analytical Chemistry, Ecology and Atmospheric Science, having authored 117 papers that have together received 1.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (62 papers), Remote Sensing and Land Use (36 papers), Spectroscopy and Chemometric Analyses (27 papers), Smart Agriculture and AI (20 papers), Leaf Properties and Growth Measurement (14 papers), Remote Sensing and LiDAR Applications (13 papers), Land Use and Ecosystem Services (13 papers) and Crop Yield and Soil Fertility (11 papers). The work is most often cited by research in Ecology (617 citations), Environmental Engineering (318 citations) and Analytical Chemistry (203 citations). Xiaohe Gu has collaborated with scholars based in China, United States and Fiji. Frequent co-authors include Qian Sun, Guijun Yang, Meiyan Shu, Yuchun Pan, Shu Cheng, Liping Chen, Yuntao Ma, Lin Sun, Tianen Chen and Chao Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Transactions on Geoscience 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.