Suzhou Li
Impact in
- Pollution top 10%
- Microplastics and Plastic Pollution
- Water Science and Technology top 10%
- Membrane Separation Technologies
Papers in
-
- Microfluidic and Capillary Electrophoresis Applications 4
- Graphene and Nanomaterials Applications 3
-
- Protein purification and stability 7
- Co-authors
- Andreas Seidel‐Morgenstern (6 shared papers)Kaixin Yi (6 shared papers)Jinhui Huang (6 shared papers)Peter Benner (5 shared papers)Lihong Feng (5 shared papers)Si Liu (5 shared papers)Haoliang Pang (5 shared papers)Yoshiaki Kawajiri (5 shared papers)
- Journals
- Chemical Engineering Journal (3 papers)Journal of Chromatography A (3 papers)AIChE Journal (1 paper)SIAM Journal on Scientific Computing (1 paper)Enzyme and Microbial Technology (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Suzhou Li
18 papers receiving 342 citations
Peers
Comparison fields: 5 of 55
- Pollution 67
- Water Science and Technology 80
- Renewable Energy, Sustainability and the Environment 88
- Industrial and Manufacturing Engineering 39
- Numerical Analysis 24
Countries citing papers authored by Suzhou Li
This map shows the geographic impact of Suzhou Li'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 Suzhou Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzhou Li more than expected).
Fields of papers citing papers by Suzhou Li
This network shows the impact of papers produced by Suzhou Li. 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 Suzhou Li. The network helps show where Suzhou Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzhou Li, 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 | 2023 | 91 | |
| 2 | 2022 | 39 | |
| 3 | 2023 | 34 | |
| 4 | 2014 | 32 | |
| 5 | 2021 | 23 | |
| 6 | 2015 | 23 | |
| 7 | 2010 | 18 | |
| 8 | 2023 | 13 | |
| 9 | 2010 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2011 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2014 | 6 | |
| 16 | 2009 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2005 | 1 | |
| 19 | 2010 | 0 |
About Suzhou Li
Suzhou Li is a scholar working on Biomedical Engineering, Molecular Biology, Spectroscopy, Water Science and Technology and Numerical Analysis, having authored 19 papers that have together received 346 indexed citations. Recurring topics across this work include Protein purification and stability (7 papers), Membrane Separation Technologies (5 papers), Analytical Chemistry and Chromatography (5 papers), Numerical methods for differential equations (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Model Reduction and Neural Networks (4 papers), Graphene and Nanomaterials Applications (3 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Pollution (67 citations), Water Science and Technology (80 citations), Renewable Energy, Sustainability and the Environment (88 citations), Industrial and Manufacturing Engineering (39 citations) and Numerical Analysis (24 citations). Suzhou Li has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Andreas Seidel‐Morgenstern, Kaixin Yi, Jinhui Huang, Peter Benner, Lihong Feng, Si Liu, Haoliang Pang, Yoshiaki Kawajiri, Jörg Raisch and Hanbo Yu. Their work appears in journals such as Chemical Engineering Journal, Journal of Chromatography A, AIChE Journal, SIAM Journal on Scientific Computing and Enzyme and Microbial 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.