Xiaowei Kang
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
Papers in
-
- Advanced Neuroimaging Techniques and Applications 6
- MRI in cancer diagnosis 4
- Advanced MRI Techniques and Applications 3
-
- Functional Brain Connectivity Studies 6
- Co-authors
- Hong Yin (11 shared papers)Yibin Xi (11 shared papers)Leyan Xiong (3 shared papers)Shaoming Yang (3 shared papers)Zhijun Zou (2 shared papers)Chen Li (4 shared papers)Longzhen Zheng (2 shared papers)Man Xu (2 shared papers)
- Journals
- Electrochimica Acta (2 papers)Neurology (2 papers)Journal of Materials Chemistry B (1 paper)Scientific Reports (1 paper)Neuroradiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaowei Kang
27 papers receiving 585 citations
Peers
Comparison fields: 5 of 97
- Otorhinolaryngology 83
- Electrochemistry 99
- Radiology, Nuclear Medicine and Imaging 240
- Bioengineering 54
- Genetics 72
Countries citing papers authored by Xiaowei Kang
This map shows the geographic impact of Xiaowei Kang'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 Xiaowei Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Kang more than expected).
Fields of papers citing papers by Xiaowei Kang
This network shows the impact of papers produced by Xiaowei Kang. 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 Xiaowei Kang. The network helps show where Xiaowei Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei Kang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 131 | |
| 2 | 2019 | 117 | |
| 3 | 2013 | 52 | |
| 4 | 2018 | 41 | |
| 5 | 2019 | 36 | |
| 6 | 2019 | 25 | |
| 7 | 2020 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2019 | 18 | |
| 12 | 2014 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2014 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2006 | 6 | |
| 19 | 2016 | 4 | |
| 20 | 2022 | 4 |
About Xiaowei Kang
Xiaowei Kang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Molecular Biology, Genetics and Electrical and Electronic Engineering, having authored 28 papers that have together received 601 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (6 papers), MRI in cancer diagnosis (4 papers), Glioma Diagnosis and Treatment (4 papers), Conducting polymers and applications (3 papers), Schizophrenia research and treatment (3 papers), Advanced MRI Techniques and Applications (3 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Otorhinolaryngology (83 citations), Electrochemistry (99 citations), Radiology, Nuclear Medicine and Imaging (240 citations), Bioengineering (54 citations) and Genetics (72 citations). Xiaowei Kang has collaborated with scholars based in China and United States. Frequent co-authors include Hong Yin, Yibin Xi, Leyan Xiong, Shaoming Yang, Zhijun Zou, Chen Li, Longzhen Zheng, Man Xu, Mei Shi and Yuanqiang Zhu. Their work appears in journals such as Electrochimica Acta, Neurology, Journal of Materials Chemistry B, Scientific Reports and Neuroradiology.
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.