Shulei Wang
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Gut microbiota and health 5
- Gene expression and cancer classification 5
- Co-authors
- Ming Yuan (8 shared papers)Kevin W. Eliceiri (5 shared papers)Ellen T. Arena (4 shared papers)Curtis Rueden (1 shared paper)Mark Hiner (1 shared paper)Weibing Zhang (4 shared papers)Lingyi Zhang (4 shared papers)Yajun Ji (5 shared papers)
- Journals
- Analytical Methods (3 papers)Biometrika (3 papers)Journal of the American Statistical Association (3 papers)IEEE Transactions on Image Processing (2 papers)Journal of Alloys and Compounds (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shulei Wang
37 papers receiving 382 citations
Peers
Comparison fields: 5 of 112
- Biophysics 56
- Structural Biology 10
- Inorganic Chemistry 32
- Spectroscopy 34
- Pharmaceutical Science 9
Countries citing papers authored by Shulei Wang
This map shows the geographic impact of Shulei Wang'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 Shulei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shulei Wang more than expected).
Fields of papers citing papers by Shulei Wang
This network shows the impact of papers produced by Shulei Wang. 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 Shulei Wang. The network helps show where Shulei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shulei Wang, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 114 | |
| 2 | 2018 | 27 | |
| 3 | 2018 | 21 | |
| 4 | 2015 | 19 | |
| 5 | 2019 | 17 | |
| 6 | 2017 | 15 | |
| 7 | 2023 | 15 | |
| 8 | 2017 | 13 | |
| 9 | 2016 | 12 | |
| 10 | 2025 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2024 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2025 | 9 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 6 |
About Shulei Wang
Shulei Wang is a scholar working on Molecular Biology, Artificial Intelligence, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Statistics and Probability, having authored 40 papers that have together received 390 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Supercapacitor Materials and Fabrication (5 papers), Gut microbiota and health (5 papers), Gene expression and cancer classification (5 papers), Electrocatalysts for Energy Conversion (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Cell Image Analysis Techniques (3 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Biophysics (56 citations), Structural Biology (10 citations), Inorganic Chemistry (32 citations), Spectroscopy (34 citations) and Pharmaceutical Science (9 citations). Shulei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming Yuan, Kevin W. Eliceiri, Ellen T. Arena, Curtis Rueden, Mark Hiner, Weibing Zhang, Lingyi Zhang, Yajun Ji, Bin Zhang and Haihong Chen. Their work appears in journals such as Analytical Methods, Biometrika, Journal of the American Statistical Association, IEEE Transactions on Image Processing and Journal of Alloys and Compounds.
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.