Shaowei Wei
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Seed Germination and Physiology
- Plant-Microbe Interactions and Immunity
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- Advanced Image and Video Retrieval Techniques
Papers in
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- Plant Molecular Biology Research 6
- Plant Stress Responses and Tolerance 5
- Seed Germination and Physiology 5
- Plant nutrient uptake and metabolism 3
- Light effects on plants 2
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- Plant tissue culture and regeneration 3
- Co-authors
- Kai Shu (9 shared papers)Qi Xie (3 shared papers)Ran Xia (3 shared papers)Xiaofeng Luo (8 shared papers)Huabang Chen (2 shared papers)Chengxuan Chen (2 shared papers)Dou Quan (3 shared papers)Licheng Jiao (3 shared papers)
In The Last Decade
Shaowei Wei
19 papers receiving 528 citations
Peers
Comparison fields: 5 of 69
- Plant Science 348
- Computer Vision and Pattern Recognition 83
- Media Technology 29
- Agronomy and Crop Science 27
- Molecular Biology 153
Countries citing papers authored by Shaowei Wei
This map shows the geographic impact of Shaowei Wei'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 Shaowei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowei Wei more than expected).
Fields of papers citing papers by Shaowei Wei
This network shows the impact of papers produced by Shaowei Wei. 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 Shaowei Wei. The network helps show where Shaowei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaowei Wei, 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 | 2016 | 108 | |
| 2 | 2021 | 66 | |
| 3 | 2022 | 44 | |
| 4 | 2022 | 44 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 35 | |
| 7 | 2019 | 35 | |
| 8 | 2023 | 27 | |
| 9 | 2018 | 25 | |
| 10 | 2022 | 23 | |
| 11 | 2019 | 20 | |
| 12 | 2024 | 18 | |
| 13 | 2024 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2024 | 10 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2021 | 2 | |
| 19 | [Functions of plant phosphoenolpyruvate carboxylase and its applications for genetic engineering]. | 2011 | 1 |
| 20 | 2025 | 0 |
About Shaowei Wei
Shaowei Wei is a scholar working on Plant Science, Molecular Biology, Computer Vision and Pattern Recognition, Surgery and Epidemiology, having authored 20 papers that have together received 533 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (5 papers), Seed Germination and Physiology (5 papers), Plant nutrient uptake and metabolism (3 papers), Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Plant tissue culture and regeneration (3 papers) and Light effects on plants (2 papers). The work is most often cited by research in Plant Science (348 citations), Computer Vision and Pattern Recognition (83 citations), Media Technology (29 citations), Agronomy and Crop Science (27 citations) and Molecular Biology (153 citations). Shaowei Wei has collaborated with scholars based in China, Japan and Iran. Frequent co-authors include Kai Shu, Qi Xie, Ran Xia, Xiaofeng Luo, Huabang Chen, Chengxuan Chen, Dou Quan, Licheng Jiao, Dongyun Hao and Shuang Wang. Their work appears in journals such as Frontiers in Plant Science, Plant Physiology and Biochemistry, Journal of Integrative Plant Biology, IEEE Transactions on Geoscience and Remote Sensing and Plant Biotechnology Journal.
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.