Kai Xie
- Biomedical Engineering top 5%
- Materials Chemistry
- Molecular Biology
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Co-authors
- Peng ShiLifeng YanYouliang TianChangchang TengQuan ChengHuiping DangHaibing YueGuangyu Zhu
- Topics
- Neuroscience and Neural Engineering (8 papers)Nanoplatforms for cancer theranostics (8 papers)Advanced Wireless Communication Techniques (8 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kai Xie
62 papers receiving 940 citations
Peers
Comparison fields: 5 of 111
- Biomedical Engineering 498
- Materials Chemistry 279
- Molecular Biology 177
- Electrical and Electronic Engineering 151
- Cellular and Molecular Neuroscience 123
Countries citing papers authored by Kai Xie
This map shows the geographic impact of Kai Xie'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 Kai Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Xie more than expected).
Fields of papers citing papers by Kai Xie
This network shows the impact of papers produced by Kai Xie. 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 Kai Xie. The network helps show where Kai Xie may publish in the future.
Co-authorship network of co-authors of Kai Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Xie. A scholar is included among the top collaborators of Kai Xie 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 Kai Xie. Kai Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 5 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 46 | |
| 12 | 8 | |
| 13 | 42 | |
| 14 | 24 | |
| 15 | 21 | |
| 16 | 3 | |
| 17 | STUDY OF FULL INFORMATION WAVELET ENERGY ENTROPY AND ITS APPLICATION IN ROTATING MACHINE CONDITION MONITORING | 2 |
| 18 | Iterated Square Root Unscented Kalman Filter | 3 |
| 19 | On the Analysis and Design of Good Algebraic Interleavers | 4 |
| 20 | Gray model (GM(1,1,λ)) based on genetic algorithm | 6 |
About Kai Xie
Kai Xie is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 70 papers that have together received 956 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), Nanoplatforms for cancer theranostics (8 papers) and Advanced Wireless Communication Techniques (8 papers). The work is most often cited by research in Biomedical Engineering (498 citations), Polymers and Plastics (95 citations) and Cellular and Molecular Neuroscience (123 citations). Kai Xie has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peng Shi, Lifeng Yan, Youliang Tian, Changchang Teng, Quan Cheng, Huiping Dang, Haibing Yue, Guangyu Zhu, Zixun Wang and Zhiqin Deng. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.
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.