Hai Xin
Impact in
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Bone Tissue Engineering Materials 8
- Advanced Sensor and Energy Harvesting Materials 6
-
- Hydrogels: synthesis, properties, applications 9
- Co-authors
- Sina Naficy (5 shared papers)Geoffrey M. Spinks (8 shared papers)Reece D. Gately (1 shared paper)Robert Gorkin (1 shared paper)Hugh R. Brown (5 shared papers)Philip G. Whitten (2 shared papers)Samiul Amin (3 shared papers)R.D. Malucci (2 shared papers)
- Journals
- Gels (3 papers)Macromolecules (2 papers)Polymer (2 papers)Journal of Polymer Science Part B Polymer Physics (2 papers)Scientific Reports (1 paper)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Hai Xin
23 papers receiving 563 citations
Peers
Comparison fields: 5 of 76
- Molecular Medicine 170
- Biomaterials 121
- Biomedical Engineering 351
- Mechanical Engineering 272
- Automotive Engineering 86
Countries citing papers authored by Hai Xin
This map shows the geographic impact of Hai Xin'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 Hai Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Xin more than expected).
Fields of papers citing papers by Hai Xin
This network shows the impact of papers produced by Hai Xin. 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 Hai Xin. The network helps show where Hai Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Xin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 212 | |
| 2 | 2013 | 50 | |
| 3 | 2022 | 50 | |
| 4 | 2022 | 34 | |
| 5 | 2022 | 27 | |
| 6 | 2015 | 24 | |
| 7 | 2024 | 23 | |
| 8 | 2004 | 21 | |
| 9 | 2015 | 20 | |
| 10 | 2006 | 18 | |
| 11 | 2024 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2014 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2025 | 4 | |
| 20 | 2023 | 3 |
About Hai Xin
Hai Xin is a scholar working on Biomedical Engineering, Molecular Medicine, Mechanical Engineering, Oral Surgery and Surgery, having authored 26 papers that have together received 573 indexed citations. Recurring topics across this work include Hydrogels: synthesis, properties, applications (9 papers), Bone Tissue Engineering Materials (8 papers), Dental Implant Techniques and Outcomes (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Advanced Materials and Mechanics (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Periodontal Regeneration and Treatments (3 papers) and Mechanical stress and fatigue analysis (2 papers). The work is most often cited by research in Molecular Medicine (170 citations), Biomaterials (121 citations), Biomedical Engineering (351 citations), Mechanical Engineering (272 citations) and Automotive Engineering (86 citations). Hai Xin has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Sina Naficy, Geoffrey M. Spinks, Reece D. Gately, Robert Gorkin, Hugh R. Brown, Philip G. Whitten, Samiul Amin, R.D. Malucci, Fei Xie and B.I. Rickett. Their work appears in journals such as Gels, Macromolecules, Polymer, Journal of Polymer Science Part B Polymer Physics 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.