Shih‐Jung Liu
- Biomaterials top 0.5%
- Electrospun Nanofibers in Biomedical Applications 51
- Rehabilitation top 1%
- Polymers and Plastics top 2%
- Polymer Foaming and Composites 36
- Automotive Engineering top 2%
- Additive Manufacturing and 3D Printing Technologies 34
- Pharmaceutical Science top 2%
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- Injection Molding Process and Properties 61
- Advanced machining processes and optimization 16
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- Orthopedic Infections and Treatments 19
- Orthopaedic implants and arthroplasty 17
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- Bone Tissue Engineering Materials 19
Shih‐Jung Liu
232 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 138
- Biomaterials 1.4k
- Rehabilitation 417
- Polymers and Plastics 639
- Automotive Engineering 393
- Pharmaceutical Science 187
Countries citing papers authored by Shih‐Jung Liu
This map shows the geographic impact of Shih‐Jung Liu'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 Shih‐Jung Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Jung Liu more than expected).
Fields of papers citing papers by Shih‐Jung Liu
This network shows the impact of papers produced by Shih‐Jung Liu. 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 Shih‐Jung Liu. The network helps show where Shih‐Jung Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shih‐Jung Liu, 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 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 25 | |
| 14 | 2018 | 2 | |
| 15 | 2016 | 9 | |
| 16 | 2016 | 10 | |
| 17 | 2015 | 5 | |
| 18 | In Vitro Osteoblastic Differentiation of Rabbit Mesenchymal Stem Cells in a Poly (Lactide-Co-Glycolide)/Interpore/Collagen Composite System | 2010 | 1 |
| 19 | Periosteum-Enveloping of the Tendon to Enhance Tendon-Bone Healing in the Bone Tunnel-Histologic Studies in Three Experimental Rabbit Models | 2003 | 7 |
| 20 | 1999 | 37 |
About Shih‐Jung Liu
Shih‐Jung Liu is a scholar working on Biomaterials, Polymers and Plastics and Automotive Engineering, having authored 234 papers that have together received 4.2k indexed citations. Recurring topics across this work include Injection Molding Process and Properties (61 papers), Electrospun Nanofibers in Biomedical Applications (51 papers), Polymer Foaming and Composites (36 papers), Additive Manufacturing and 3D Printing Technologies (34 papers), Orthopedic Infections and Treatments (19 papers), Bone Tissue Engineering Materials (19 papers), Orthopaedic implants and arthroplasty (17 papers) and Advanced machining processes and optimization (16 papers). The work is most often cited by research in Biomaterials (1.4k citations), Rehabilitation (417 citations) and Polymers and Plastics (639 citations). Shih‐Jung Liu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Steve Wen‐Neng Ueng, Yuan‐Yun Tseng, Err–Cheng Chan, Cheng‐Hung Lee, Kuo‐Sheng Liu, Yi‐Chuan Kau, Kuo‐Chun Hung, Jan‐Kan Chen, Yung‐Heng Hsu and Yi‐Hsun Yu. Their work appears in journals such as Journal of Clinical Oncology, Journal of Applied Physics and Biomaterials.
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.