Wei Guo
Impact in
- Plant Science top 1%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Greenhouse Technology and Climate Control
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Smart Agriculture and AI 54
- Leaf Properties and Growth Measurement 13
- Greenhouse Technology and Climate Control 5
-
- Remote Sensing and LiDAR Applications 30
- Co-authors
- S. Ninomiya (24 shared papers)Bangyou Zheng (9 shared papers)Scott Cameron Chapman (11 shared papers)Kyosuke Yamamoto (2 shared papers)Yosuke Yoshioka (1 shared paper)Tokihiro Fukatsu (4 shared papers)Yue Mu (8 shared papers)Yuanyuan Wang (8 shared papers)
In The Last Decade
Wei Guo
123 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 126
- Plant Science 2.0k
- Analytical Chemistry 493
- Ecology 1.1k
- Environmental Engineering 563
- Ecological Modeling 95
Countries citing papers authored by Wei Guo
This map shows the geographic impact of Wei 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 Wei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Guo more than expected).
Fields of papers citing papers by Wei Guo
This network shows the impact of papers produced by Wei 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 Wei Guo. The network helps show where Wei Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 226 | |
| 2 | 2014 | 216 | |
| 3 | 2020 | 206 | |
| 4 | 2020 | 185 | |
| 5 | 2013 | 168 | |
| 6 | 2019 | 149 | |
| 7 | 2021 | 116 | |
| 8 | 2015 | 111 | |
| 9 | 2020 | 101 | |
| 10 | 2016 | 98 | |
| 11 | 2022 | 96 | |
| 12 | 2021 | 92 | |
| 13 | 2018 | 80 | |
| 14 | 2018 | 76 | |
| 15 | 2017 | 57 | |
| 16 | 2019 | 56 | |
| 17 | 2018 | 47 | |
| 18 | 2023 | 40 | |
| 19 | 2023 | 40 | |
| 20 | 2020 | 40 |
About Wei Guo
Wei Guo is a scholar working on Plant Science, Environmental Engineering, Ecology, Analytical Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 135 papers that have together received 3.1k indexed citations. Recurring topics across this work include Smart Agriculture and AI (54 papers), Remote Sensing in Agriculture (46 papers), Remote Sensing and LiDAR Applications (30 papers), Leaf Properties and Growth Measurement (13 papers), Spectroscopy and Chemometric Analyses (12 papers), Ultrasound Imaging and Elastography (9 papers), Greenhouse Technology and Climate Control (5 papers) and Species Distribution and Climate Change (5 papers). The work is most often cited by research in Plant Science (2.0k citations), Analytical Chemistry (493 citations), Ecology (1.1k citations), Environmental Engineering (563 citations) and Ecological Modeling (95 citations). Wei Guo has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include S. Ninomiya, Bangyou Zheng, Scott Cameron Chapman, Kyosuke Yamamoto, Yosuke Yoshioka, Tokihiro Fukatsu, Yue Mu, Yuanyuan Wang, Yan Guo and Tao Duan. Their work appears in journals such as Plant Phenomics, Sensors, Frontiers in Plant Science, Horticulture Research and Scientific Reports.
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.