Xiao Kuang
- Biomedical Engineering top 0.2%
- Mechanical Engineering top 0.2%
- Polymers and Plastics top 0.2%
- Automotive Engineering top 0.1%
- Organic Chemistry top 1%
- Co-authors
- H. Jerry QiDevin J. RoachJiangtao WuDujin WangKaijuan ChenCraig M. HamelConner K. DunnXia Dong
- Topics
- Polymer composites and self-healing (34 papers)Advanced Sensor and Energy Harvesting Materials (31 papers)Advanced Materials and Mechanics (29 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xiao Kuang
109 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Biomedical Engineering 5.4k
- Mechanical Engineering 3.9k
- Polymers and Plastics 3.8k
- Automotive Engineering 2.9k
- Organic Chemistry 1.7k
Countries citing papers authored by Xiao Kuang
This map shows the geographic impact of Xiao Kuang'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 Xiao Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Kuang more than expected).
Fields of papers citing papers by Xiao Kuang
This network shows the impact of papers produced by Xiao Kuang. 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 Xiao Kuang. The network helps show where Xiao Kuang may publish in the future.
Co-authorship network of co-authors of Xiao Kuang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Kuang. A scholar is included among the top collaborators of Xiao Kuang 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 Xiao Kuang. Xiao Kuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 88 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 65 | |
| 13 | 5 | |
| 14 | How Can Alternative Exercise Traditions Help Against the Background of the COVID-19 in Cancer Care? An Overview of Systematic Reviews | 1 |
| 15 | 42 | |
| 16 | 9 | |
| 17 | 53 | |
| 18 | Serum IL-1β and IL-17 levels in patients with COPD: associations with clinical parameters | 0 |
| 19 | 350 | |
| 20 | 1 |
About Xiao Kuang
Xiao Kuang is a scholar working on Polymers and Plastics, Automotive Engineering and Process Chemistry and Technology, having authored 117 papers that have together received 10.1k indexed citations. Recurring topics across this work include Polymer composites and self-healing (34 papers), Advanced Sensor and Energy Harvesting Materials (31 papers) and Advanced Materials and Mechanics (29 papers). The work is most often cited by research in Polymers and Plastics (3.8k citations), Automotive Engineering (2.9k citations) and Biomedical Engineering (5.4k citations). Xiao Kuang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include H. Jerry Qi, Devin J. Roach, Jiangtao Wu, Dujin Wang, Kaijuan Chen, Craig M. Hamel, Conner K. Dunn, Xia Dong, Zeang Zhao and Tiejun Wang. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.