Haibin Wu
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Molecular Biology
- Rehabilitation top 1%
- Biomaterials top 5%
- Co-authors
- Daishun LingFangyuan LiJianqing GaoWei ShaoShuaifei WangWei YuJing YanYang Li
- Topics
- Wound Healing and Treatments (7 papers)Advanced Nanomaterials in Catalysis (4 papers)Nanoplatforms for cancer theranostics (4 papers)
- Journals
- Advanced MaterialsACS NanoPLoS ONE
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Haibin Wu
22 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Biomedical Engineering 567
- Materials Chemistry 424
- Molecular Biology 353
- Rehabilitation 344
- Biomaterials 328
Countries citing papers authored by Haibin Wu
This map shows the geographic impact of Haibin Wu'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 Haibin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibin Wu more than expected).
Fields of papers citing papers by Haibin Wu
This network shows the impact of papers produced by Haibin Wu. 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 Haibin Wu. The network helps show where Haibin Wu may publish in the future.
Co-authorship network of co-authors of Haibin Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Haibin Wu. A scholar is included among the top collaborators of Haibin Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haibin Wu. Haibin Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | Study of cardiovascular disease prediction model based on random forest in eastern Chinabreakdown → | 232 |
| 6 | 31 | |
| 7 | 285 | |
| 8 | Transplantation of HUVECs with genetically modified Nogo-B accelerates wound-healing in nude mice. | 4 |
| 9 | 1 | |
| 10 | 285 | |
| 11 | 43 | |
| 12 | 67 | |
| 13 | Mepenzolate bromide promotes diabetic wound healing by modulating inflammation and oxidative stress. | 14 |
| 14 | 38 | |
| 15 | 2 | |
| 16 | 76 | |
| 17 | Acceleration of diabetic wound healing by a cryopreserved living dermal substitute created by micronized amnion seeded with fibroblasts. | 16 |
| 18 | 54 | |
| 19 | [Survival analysis of gastric cancer patients during 2005-2010 in Zhejiang Province, China]. | 2 |
| 20 | 44 |
About Haibin Wu
Haibin Wu is a scholar working on Rehabilitation, Occupational Therapy and Health Information Management, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wound Healing and Treatments (7 papers), Advanced Nanomaterials in Catalysis (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Rehabilitation (344 citations), Biomaterials (328 citations) and Health Information Management (75 citations). Haibin Wu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Daishun Ling, Fangyuan Li, Jianqing Gao, Wei Shao, Shuaifei Wang, Wei Yu, Jing Yan, Yang Li, Xiaoqing Jin and Jingxiong Lu. Their work appears in journals such as Advanced Materials, ACS Nano and PLoS ONE.
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.