Shuo Wu
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
Papers in
-
- Supercapacitor Materials and Fabrication 2
- Magnetic Properties of Alloys 1
-
- ZnO doping and properties 2
- Corrosion Behavior and Inhibition 2
- Co-authors
- Shengyi Zhao (2 shared papers)Jizhan Liu (2 shared papers)Yun Peng (1 shared paper)Qingnan Zhao (2 shared papers)Yanwen Duan (1 shared paper)Yong Huang (1 shared paper)Changgong Meng (1 shared paper)Shengyang Tao (1 shared paper)
- Journals
- Journal of Materials Chemistry A (2 papers)Briefings in Bioinformatics (1 paper)Journal of Non-Crystalline Solids (1 paper)IEEE Transactions on Magnetics (1 paper)Journal of Rare Earths (1 paper)
- Partner nations
- China
In The Last Decade
Shuo Wu
13 papers receiving 440 citations
Shuo Wu's Hit Papers
Peers
Comparison fields: 5 of 73
- Analytical Chemistry 48
- Plant Science 178
- Polymers and Plastics 64
- Electronic, Optical and Magnetic Materials 58
- Computational Theory and Mathematics 47
Countries citing papers authored by Shuo Wu
This map shows the geographic impact of Shuo Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Wu more than expected).
Fields of papers citing papers by Shuo Wu
This network shows the impact of papers produced by Shuo Wu. 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 Wu. The network helps show where Shuo Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo Wu, 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 | Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module Hit paper breakdown → | 2021 | 167 |
| 2 | 2021 | 59 | |
| 3 | 2013 | 53 | |
| 4 | 2010 | 49 | |
| 5 | 2023 | 28 | |
| 6 | 2010 | 27 | |
| 7 | 2022 | 22 | |
| 8 | 2016 | 14 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2020 | 4 | |
| 13 | 2014 | 2 |
About Shuo Wu
Shuo Wu is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry, Polymers and Plastics, Mechanical Engineering and Electrical and Electronic Engineering, having authored 13 papers that have together received 457 indexed citations. Recurring topics across this work include ZnO doping and properties (2 papers), Corrosion Behavior and Inhibition (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Supercapacitor Materials and Fabrication (2 papers), Advanced Photocatalysis Techniques (1 paper), Transition Metal Oxide Nanomaterials (1 paper), Magnetic Properties of Alloys (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Analytical Chemistry (48 citations), Plant Science (178 citations), Polymers and Plastics (64 citations), Electronic, Optical and Magnetic Materials (58 citations) and Computational Theory and Mathematics (47 citations). Shuo Wu has collaborated with scholars based in China. Frequent co-authors include Shengyi Zhao, Jizhan Liu, Yun Peng, Qingnan Zhao, Yanwen Duan, Yong Huang, Changgong Meng, Shengyang Tao, Yuchao Wang and Yonglin An. Their work appears in journals such as Journal of Materials Chemistry A, Briefings in Bioinformatics, Journal of Non-Crystalline Solids, IEEE Transactions on Magnetics and Journal of Rare Earths.
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.