Shan Dai
Impact in
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications
- Materials Chemistry top 10%
- Advanced Nanomaterials in Catalysis
- Nanocluster Synthesis and Applications
- Covalent Organic Framework Applications
- Catalytic Processes in Materials Science
Papers in
-
- Metal-Organic Frameworks: Synthesis and Applications 11
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- Covalent Organic Framework Applications 6
- Nanocluster Synthesis and Applications 5
- Boron and Carbon Nanomaterials Research 3
- MXene and MAX Phase Materials 3
- Catalytic Processes in Materials Science 2
- Co-authors
- Christian SerreAntoine TissotSanjun ZhangG. PatriarcheFarid NouarTatjana N. Parac‐VogtCharlotte SimmsMarco Daturi
In The Last Decade
Shan Dai
26 papers receiving 842 citations
Peers
Comparison fields: 5 of 66
- Inorganic Chemistry 463
- Materials Chemistry 571
- Renewable Energy, Sustainability and the Environment 150
- Process Chemistry and Technology 22
- Electronic, Optical and Magnetic Materials 119
Countries citing papers authored by Shan Dai
This map shows the geographic impact of Shan Dai'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 Shan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Dai more than expected).
Fields of papers citing papers by Shan Dai
This network shows the impact of papers produced by Shan Dai. 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 Shan Dai. The network helps show where Shan Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan Dai, 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 | 2024 | 7 | |
| 2 | 2024 | 72 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 71 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 80 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 30 | |
| 9 | 2021 | 43 | |
| 10 | 2021 | 105 | |
| 11 | 2021 | 69 | |
| 12 | 2020 | 27 | |
| 13 | 2020 | 120 | |
| 14 | 2019 | 38 | |
| 15 | 2017 | 2 | |
| 16 | 2017 | 86 | |
| 17 | 2016 | 1 | |
| 18 | 2014 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2012 | 1 |
About Shan Dai
Shan Dai is a scholar working on Inorganic Chemistry, Materials Chemistry, Polymers and Plastics, Analytical Chemistry and Renewable Energy, Sustainability and the Environment, having authored 27 papers that have together received 854 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (11 papers), Covalent Organic Framework Applications (6 papers), Nanocluster Synthesis and Applications (5 papers), Boron and Carbon Nanomaterials Research (3 papers), MXene and MAX Phase Materials (3 papers), Advanced Photocatalysis Techniques (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Catalytic Processes in Materials Science (2 papers). The work is most often cited by research in Inorganic Chemistry (463 citations), Materials Chemistry (571 citations), Renewable Energy, Sustainability and the Environment (150 citations), Process Chemistry and Technology (22 citations) and Electronic, Optical and Magnetic Materials (119 citations). Shan Dai has collaborated with scholars based in China, France and Spain. Frequent co-authors include Christian Serre, Antoine Tissot, Sanjun Zhang, G. Patriarche, Farid Nouar, Tatjana N. Parac‐Vogt, Charlotte Simms, Marco Daturi, Iurii Dovgaliuk and Taiqun Yang. Their work appears in journals such as Chemistry of Materials, Angewandte Chemie International Edition, Petroleum Science and Technology, Journal of Materials Chemistry B and Nature Communications.
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.