Yu Jun Tan
Impact in
- Automotive Engineering top 0.5%
- Additive Manufacturing and 3D Printing Technologies
- Biomedical Engineering top 0.5%
- Advanced Sensor and Energy Harvesting Materials
- 3D Printing in Biomedical Research
- Bone Tissue Engineering Materials
Papers in
-
- Polymer composites and self-healing 8
-
- Additive Manufacturing and 3D Printing Technologies 14
Yu Jun Tan
69 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Automotive Engineering 1.4k
- Biomedical Engineering 3.8k
- Polymers and Plastics 1.1k
- Biomaterials 664
- Mechanical Engineering 1.5k
Countries citing papers authored by Yu Jun Tan
This map shows the geographic impact of Yu Jun Tan'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 Yu Jun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Jun Tan more than expected).
Fields of papers citing papers by Yu Jun Tan
This network shows the impact of papers produced by Yu Jun Tan. 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 Yu Jun Tan. The network helps show where Yu Jun Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu Jun Tan, 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 | 1 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 15 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 94 | |
| 9 | 2021 | 48 | |
| 10 | 2020 | 162 | |
| 11 | 2019 | 26 | |
| 12 | 2019 | 13 | |
| 13 | 2017 | 122 | |
| 14 | 2017 | 21 | |
| 15 | Metallic powder-bed based 3D printing of cellular scaffolds for orthopaedic implants: A state-of-the-art review on manufacturing, topological design, mechanical properties and biocompatibility Hit paper breakdown → | 2017 | 416 |
| 16 | 2016 | 100 | |
| 17 | 2016 | 18 | |
| 18 | 2015 | 4 | |
| 19 | Engineering alginate as bioink for bioprinting Hit paper breakdown → | 2014 | 425 |
| 20 | 2012 | 18 |
About Yu Jun Tan
Yu Jun Tan is a scholar working on Polymers and Plastics, Automotive Engineering, Biomedical Engineering, Biomaterials and Surfaces, Coatings and Films, having authored 71 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (22 papers), Additive Manufacturing and 3D Printing Technologies (14 papers), 3D Printing in Biomedical Research (13 papers), Advanced Materials and Mechanics (13 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Tissue Engineering and Regenerative Medicine (9 papers), Bone Tissue Engineering Materials (8 papers) and Polymer composites and self-healing (8 papers). The work is most often cited by research in Automotive Engineering (1.4k citations), Biomedical Engineering (3.8k citations), Polymers and Plastics (1.1k citations), Biomaterials (664 citations) and Mechanical Engineering (1.5k citations). Yu Jun Tan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Benjamin C. K. Tee, Shu Beng Tor, Xipeng Tan, Kah Fai Leong, Wai Yee Yeong, Huijun Li, Si Li, Ying Mei, Dylan Richards and Chee Kai Chua. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Materials, Scientific Reports, Nature Electronics 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.