Yahui Guo
Impact in
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Ecology top 2%
- Remote Sensing in Agriculture
Papers in
- Ecology 27
- Remote Sensing in Agriculture 23
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- Remote Sensing and LiDAR Applications 9
- Co-authors
- Yongshuo H. Fu (27 shared papers)J. Senthilnath (8 shared papers)Christopher Bryant (9 shared papers)Shouzhi Chen (10 shared papers)Wenxiang Wu (10 shared papers)Xinxi Li (4 shared papers)Jingzhe Wang (5 shared papers)Keli Han (3 shared papers)
In The Last Decade
Yahui Guo
87 papers receiving 2.4k citations
Yahui Guo's Hit Papers
Peers
Comparison fields: 5 of 130
- Environmental Engineering 558
- Ecology 925
- Global and Planetary Change 506
- Ecological Modeling 101
- Analytical Chemistry 189
Countries citing papers authored by Yahui Guo
This map shows the geographic impact of Yahui Guo'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 Yahui Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yahui Guo more than expected).
Fields of papers citing papers by Yahui Guo
This network shows the impact of papers produced by Yahui Guo. 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 Yahui Guo. The network helps show where Yahui Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yahui Guo, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 264 | |
| 2 | Integrated phenology and climate in rice yields prediction using machine learning methods Hit paper breakdown → | 2020 | 223 |
| 3 | 2009 | 126 | |
| 4 | 2022 | 117 | |
| 5 | 2019 | 112 | |
| 6 | 2020 | 91 | |
| 7 | 2020 | 86 | |
| 8 | Comparison of different machine learning algorithms for predicting maize grain yield using UAV-based hyperspectral images Hit paper breakdown → | 2023 | 85 |
| 9 | 2020 | 81 | |
| 10 | 2021 | 75 | |
| 11 | 2019 | 72 | |
| 12 | 2020 | 71 | |
| 13 | 2020 | 70 | |
| 14 | 2022 | 61 | |
| 15 | 2022 | 52 | |
| 16 | 2007 | 52 | |
| 17 | 2020 | 43 | |
| 18 | 2011 | 36 | |
| 19 | 2019 | 32 | |
| 20 | 2019 | 27 |
About Yahui Guo
Yahui Guo is a scholar working on Ecology, Environmental Engineering, Plant Science, Global and Planetary Change and Materials Chemistry, having authored 92 papers that have together received 2.4k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (23 papers), Remote Sensing and LiDAR Applications (9 papers), Climate change impacts on agriculture (8 papers), Hydrology and Watershed Management Studies (8 papers), Plant Water Relations and Carbon Dynamics (7 papers), Smart Agriculture and AI (6 papers), Laser-Matter Interactions and Applications (5 papers) and Rice Cultivation and Yield Improvement (5 papers). The work is most often cited by research in Environmental Engineering (558 citations), Ecology (925 citations), Global and Planetary Change (506 citations), Ecological Modeling (101 citations) and Analytical Chemistry (189 citations). Yahui Guo has collaborated with scholars based in China, Canada and Belgium. Frequent co-authors include Yongshuo H. Fu, J. Senthilnath, Christopher Bryant, Shouzhi Chen, Wenxiang Wu, Xinxi Li, Jingzhe Wang, Keli Han, Ruifeng Lu and Fanghua Hao. Their work appears in journals such as Sustainability, Food Chemistry, International Journal of Applied Earth Observation and Geoinformation, Remote Sensing and Ecological Indicators.
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.