Min Tu
- Inorganic Chemistry top 0.5%
- Metal-Organic Frameworks: Synthesis and Applications 39
- Polymers and Plastics top 2%
- Dendrimers and Hyperbranched Polymers 6
- Materials Chemistry top 2%
- Covalent Organic Framework Applications 7
- Machine Learning in Materials Science 6
- Bioengineering top 2%
- Analytical Chemistry and Sensors 5
- Biomedical Engineering top 2%
- Acoustic Wave Resonator Technologies 5
- Nanoplatforms for cancer theranostics 5
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- Gas Sensing Nanomaterials and Sensors 12
Min Tu
57 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Inorganic Chemistry 1.7k
- Polymers and Plastics 581
- Materials Chemistry 1.7k
- Bioengineering 144
- Biomedical Engineering 1.1k
Countries citing papers authored by Min Tu
This map shows the geographic impact of Min Tu'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 Min Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Tu more than expected).
Fields of papers citing papers by Min Tu
This network shows the impact of papers produced by Min Tu. 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 Min Tu. The network helps show where Min Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min Tu, 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 | 2025 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 44 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 26 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 61 | |
| 11 | 2021 | 44 | |
| 12 | 2020 | 154 | |
| 13 | 2019 | 104 | |
| 14 | 2018 | 25 | |
| 15 | 2014 | 90 | |
| 16 | 2013 | 89 | |
| 17 | 2013 | 45 | |
| 18 | 2013 | 27 | |
| 19 | 2013 | 8 | |
| 20 | Super-stretchable, Transparent Carbon Nanotube-Based Capacitive Strain Sensors for Human Motion Detectionbreakdown → | 2013 | 589 |
About Min Tu
Min Tu is a scholar working on Inorganic Chemistry, Bioengineering, Materials Chemistry, Health Informatics and Polymers and Plastics, having authored 59 papers that have together received 3.2k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (39 papers), Gas Sensing Nanomaterials and Sensors (12 papers), Covalent Organic Framework Applications (7 papers), Machine Learning in Materials Science (6 papers), Dendrimers and Hyperbranched Polymers (6 papers), Acoustic Wave Resonator Technologies (5 papers), Analytical Chemistry and Sensors (5 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Inorganic Chemistry (1.7k citations), Polymers and Plastics (581 citations), Materials Chemistry (1.7k citations), Bioengineering (144 citations) and Biomedical Engineering (1.1k citations). Min Tu has collaborated with scholars based in Germany, China and Belgium. Frequent co-authors include Roland A. Fischer, Suttipong Wannapaiboon, Weijin Li, Kira Khaletskaya, Rong Cao, Rob Ameloot, Sishen Xie, Xiao Zhang, Duan Zhao and Weiya Zhou. Their work appears in journals such as Advanced Functional Materials, Journal of Materials Chemistry A, Chemistry of Materials, Angewandte Chemie International Edition and Scientific Reports.
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.