Shuo Wei
Impact in
- Food Science top 5%
- Food Drying and Modeling
- Microencapsulation and Drying Processes
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Agricultural Engineering and Mechanization 5
- Food Science 10
- Food Drying and Modeling 10
- Microencapsulation and Drying Processes 4
- Co-authors
- Deyong Yang (17 shared papers)Weijun Xie (14 shared papers)Fenghe Wang (5 shared papers)Xin Sun (2 shared papers)Junyu Dong (2 shared papers)Qingxuan Lv (1 shared paper)Changrui Chen (1 shared paper)Xiaorui Wang (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (3 papers)Biosystems Engineering (3 papers)Food and Bioproducts Processing (2 papers)Drying Technology (2 papers)Postharvest Biology and Technology (2 papers)
- Partner nations
- ChinaSaudi ArabiaRussia
In The Last Decade
Shuo Wei
36 papers receiving 679 citations
Peers
Comparison fields: 5 of 100
- Food Science 184
- Analytical Chemistry 89
- Computer Vision and Pattern Recognition 128
- Biomaterials 63
- Industrial and Manufacturing Engineering 46
Countries citing papers authored by Shuo Wei
This map shows the geographic impact of Shuo 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 Shuo Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Wei more than expected).
Fields of papers citing papers by Shuo Wei
This network shows the impact of papers produced by Shuo 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 Shuo Wei. The network helps show where Shuo Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo 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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 130 | |
| 2 | 2021 | 49 | |
| 3 | 2023 | 45 | |
| 4 | 2019 | 40 | |
| 5 | 2018 | 38 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 32 | |
| 8 | 2023 | 31 | |
| 9 | 2021 | 30 | |
| 10 | 2022 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2022 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2022 | 18 | |
| 15 | 2024 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 9 |
About Shuo Wei
Shuo Wei is a scholar working on Mechanical Engineering, Food Science, Analytical Chemistry, Plant Science and Biomaterials, having authored 37 papers that have together received 688 indexed citations. Recurring topics across this work include Food Drying and Modeling (10 papers), Spectroscopy and Chemometric Analyses (8 papers), Smart Agriculture and AI (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Agricultural Engineering and Mechanization (5 papers), Microencapsulation and Drying Processes (4 papers), Food composition and properties (4 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Food Science (184 citations), Analytical Chemistry (89 citations), Computer Vision and Pattern Recognition (128 citations), Biomaterials (63 citations) and Industrial and Manufacturing Engineering (46 citations). Shuo Wei has collaborated with scholars based in China, Saudi Arabia and Russia. Frequent co-authors include Deyong Yang, Weijun Xie, Fenghe Wang, Xin Sun, Junyu Dong, Qingxuan Lv, Changrui Chen, Xiaorui Wang, Pengxiao Chen and Zhaohui Zheng. Their work appears in journals such as Computers and Electronics in Agriculture, Biosystems Engineering, Food and Bioproducts Processing, Drying Technology and Postharvest Biology and Technology.
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.