Thang Q. Tran
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies 11
- Materials Chemistry top 10%
- Carbon Nanotubes in Composites 12
- Graphene research and applications 6
- Polymers and Plastics top 10%
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- Advanced Sensor and Energy Harvesting Materials 18
- Plasmonic and Surface Plasmon Research 5
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- Nanomaterials and Printing Technologies 5
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- Fiber-reinforced polymer composites 5
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- Aerogels and thermal insulation 5
Thang Q. Tran
49 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Renewable Energy, Sustainability and the Environment 502
- Automotive Engineering 295
- Electronic, Optical and Magnetic Materials 435
- Materials Chemistry 721
- Polymers and Plastics 196
Countries citing papers authored by Thang Q. Tran
This map shows the geographic impact of Thang Q. Tran'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 Thang Q. Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thang Q. Tran more than expected).
Fields of papers citing papers by Thang Q. Tran
This network shows the impact of papers produced by Thang Q. Tran. 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 Thang Q. Tran. The network helps show where Thang Q. Tran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thang Q. Tran, 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 | 5 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 30 | |
| 9 | 2022 | 23 | |
| 10 | 2019 | 17 | |
| 11 | 2017 | 55 | |
| 12 | 2017 | 24 | |
| 13 | 2016 | 9 | |
| 14 | Advanced Multifunctional Properties of Aligned Carbon Nanotube-Epoxy Composites from Carbon Nanotube Aerogel Method | 2015 | 1 |
| 15 | Advanced morphology-controlled manufacturing of carbon nanotube fibers, thin films and aerogels from aerogel technique | 2015 | 10 |
| 16 | 2015 | 26 | |
| 17 | 2014 | 4 | |
| 18 | 2013 | 32 | |
| 19 | 1992 | 3 | |
| 20 | Microprocessor Architecture with Multi-Bit Scoreboard Concurrency Control. | 1991 | 1 |
About Thang Q. Tran
Thang Q. Tran is a scholar working on Automotive Engineering, Surfaces, Coatings and Films and Biomedical Engineering, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (18 papers), Carbon Nanotubes in Composites (12 papers), Additive Manufacturing and 3D Printing Technologies (11 papers), Graphene research and applications (6 papers), Nanomaterials and Printing Technologies (5 papers), Fiber-reinforced polymer composites (5 papers), Plasmonic and Surface Plasmon Research (5 papers) and Aerogels and thermal insulation (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (502 citations), Automotive Engineering (295 citations) and Electronic, Optical and Magnetic Materials (435 citations). Thang Q. Tran has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Seeram Ramakrishna, Dongxiao Ji, Hai M. Duong, Peng Liu, Guorui Yang, Fan Li, Yingjun Sun, Shaojun Guo, Zeng Fan and Menggang Li. Their work appears in journals such as Carbon, ACS Applied Materials & Interfaces, Additive manufacturing, Scientific Reports and Colloids and Surfaces A Physicochemical and Engineering Aspects.
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.