Lan Shi
Impact in
-
- Carbon dioxide utilization in catalysis
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Covalent Organic Framework Applications 3
- Co-authors
- Shaoyun Shan (5 shared papers)Shuangjiang Li (4 shared papers)Yi Liu (3 shared papers)Zheng‐Hong Luo (2 shared papers)Tianding Hu (4 shared papers)Yunfei Zhi (3 shared papers)Yijun He (1 shared paper)Ya Yao (1 shared paper)
- Journals
- Chemical Engineering Journal (3 papers)Animal Feed Science and Technology (2 papers)Blood Purification (1 paper)Polymer Engineering and Science (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Shi
20 papers receiving 281 citations
Peers
Comparison fields: 5 of 74
- Process Chemistry and Technology 79
- Modeling and Simulation 27
- Renewable Energy, Sustainability and the Environment 56
- Catalysis 23
- Inorganic Chemistry 40
Countries citing papers authored by Lan Shi
This map shows the geographic impact of Lan Shi'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 Lan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Shi more than expected).
Fields of papers citing papers by Lan Shi
This network shows the impact of papers produced by Lan Shi. 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 Lan Shi. The network helps show where Lan Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Shi, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 47 | |
| 2 | 2024 | 42 | |
| 3 | 2014 | 35 | |
| 4 | 2020 | 31 | |
| 5 | 2024 | 30 | |
| 6 | 2024 | 23 | |
| 7 | 2023 | 14 | |
| 8 | 2018 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2014 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2016 | 2 | |
| 19 | Selection of the cellulase producing strain TP1202 and the studyon the conditions for cellulase production | 2003 | 1 |
| 20 | 2024 | 1 |
About Lan Shi
Lan Shi is a scholar working on Biomedical Engineering, Materials Chemistry, Process Chemistry and Technology, Mechanical Engineering and Renewable Energy, Sustainability and the Environment, having authored 21 papers that have together received 282 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (3 papers), Carbon Dioxide Capture Technologies (3 papers), Carbon dioxide utilization in catalysis (3 papers), Covalent Organic Framework Applications (3 papers), Phytase and its Applications (2 papers), CO2 Reduction Techniques and Catalysts (2 papers), Animal Nutrition and Physiology (2 papers) and Electrocatalysts for Energy Conversion (1 paper). The work is most often cited by research in Process Chemistry and Technology (79 citations), Modeling and Simulation (27 citations), Renewable Energy, Sustainability and the Environment (56 citations), Catalysis (23 citations) and Inorganic Chemistry (40 citations). Lan Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shaoyun Shan, Shuangjiang Li, Yi Liu, Zheng‐Hong Luo, Tianding Hu, Yunfei Zhi, Yijun He, Ya Yao, Wenlong Li and Manoj Pudukudy. Their work appears in journals such as Chemical Engineering Journal, Animal Feed Science and Technology, Blood Purification, Polymer Engineering and Science and Advanced Functional Materials.
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.