Huawei Qu
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- biodegradable polymer synthesis and properties
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
Papers in
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- 3D Printing in Biomedical Research 6
- Bone Tissue Engineering Materials 4
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- Additive Manufacturing and 3D Printing Technologies 5
- Co-authors
- Hongya Fu (4 shared papers)Zhenyu Han (2 shared papers)Yang Sun (1 shared paper)Changshun Ruan (7 shared papers)Chongjian Gao (6 shared papers)Kaizheng Liu (3 shared papers)Lan Tang (3 shared papers)Zhenyu Han (1 shared paper)
- Journals
- Advanced Functional Materials (3 papers)Additive manufacturing (1 paper)International Journal of Bioprinting (1 paper)Research (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaHong KongNetherlands
In The Last Decade
Huawei Qu
11 papers receiving 952 citations
Huawei Qu's Hit Papers
Peers
Comparison fields: 5 of 87
- Biomaterials 357
- Automotive Engineering 225
- Biomedical Engineering 780
- Oral Surgery 93
- Orthodontics 38
Countries citing papers authored by Huawei Qu
This map shows the geographic impact of Huawei Qu'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 Huawei Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huawei Qu more than expected).
Fields of papers citing papers by Huawei Qu
This network shows the impact of papers produced by Huawei Qu. 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 Huawei Qu. The network helps show where Huawei Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Huawei Qu, 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 | Biomaterials for bone tissue engineering scaffolds: a review Hit paper breakdown → | 2019 | 677 |
| 2 | 2020 | 144 | |
| 3 | 2021 | 48 | |
| 4 | 2024 | 38 | |
| 5 | 2024 | 24 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 8 | |
| 8 | 2017 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2017 | 0 |
About Huawei Qu
Huawei Qu is a scholar working on Biomedical Engineering, Automotive Engineering, Surgery, Computer Vision and Pattern Recognition and Biomaterials, having authored 12 papers that have together received 969 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (6 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Bone Tissue Engineering Materials (4 papers), Dental Implant Techniques and Outcomes (2 papers), Image and Object Detection Techniques (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Innovations in Concrete and Construction Materials (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Biomaterials (357 citations), Automotive Engineering (225 citations), Biomedical Engineering (780 citations), Oral Surgery (93 citations) and Orthodontics (38 citations). Huawei Qu has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include Hongya Fu, Zhenyu Han, Yang Sun, Changshun Ruan, Chongjian Gao, Kaizheng Liu, Lan Tang, Zhenyu Han, Haobo Pan and Paul H. J. Kouwer. Their work appears in journals such as Advanced Functional Materials, Additive manufacturing, International Journal of Bioprinting, Research and RSC Advances.
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.