Kai Xia
Impact in
- Water Science and Technology top 5%
- Adsorption and biosorption for pollutant removal
Papers in
-
- Adsorption and biosorption for pollutant removal 12
- Water Quality Monitoring Technologies 3
-
- Nanomaterials for catalytic reactions 8
- Co-authors
- Yongfu Guo (7 shared papers)Hailin Feng (10 shared papers)Zhenzong Zhang (4 shared papers)Zan Qu (4 shared papers)Renbi Bai (3 shared papers)Yuhao Zhao (3 shared papers)Benjamin I. P. Rubinstein (1 shared paper)Charles Sutton (1 shared paper)
- Journals
- Nanomaterials (4 papers)ACS Omega (2 papers)Remote Sensing (2 papers)Applied Surface Science (1 paper)Advanced Biology (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Kai Xia
40 papers receiving 921 citations
Peers
Comparison fields: 5 of 120
- Water Science and Technology 305
- Industrial and Manufacturing Engineering 102
- Environmental Engineering 125
- Signal Processing 76
- Health, Toxicology and Mutagenesis 93
Countries citing papers authored by Kai Xia
This map shows the geographic impact of Kai Xia'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 Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Xia more than expected).
Fields of papers citing papers by Kai Xia
This network shows the impact of papers produced by Kai Xia. 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 Xia. The network helps show where Kai Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Xia, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exploiting machine learning to subvert your spam filter | 2008 | 173 |
| 2 | 2020 | 83 | |
| 3 | 2019 | 63 | |
| 4 | 2018 | 60 | |
| 5 | 2019 | 59 | |
| 6 | 2019 | 59 | |
| 7 | 2015 | 57 | |
| 8 | 2019 | 48 | |
| 9 | 2021 | 37 | |
| 10 | 2021 | 34 | |
| 11 | 2016 | 33 | |
| 12 | 2020 | 23 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 18 | |
| 18 | 2024 | 17 | |
| 19 | 2024 | 15 | |
| 20 | 2023 | 10 |
About Kai Xia
Kai Xia is a scholar working on Water Science and Technology, Organic Chemistry, Environmental Engineering, Ecology and Health, Toxicology and Mutagenesis, having authored 42 papers that have together received 948 indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (12 papers), Nanomaterials for catalytic reactions (8 papers), Remote Sensing in Agriculture (6 papers), Remote Sensing and Land Use (5 papers), Remote Sensing and LiDAR Applications (5 papers), Mercury impact and mitigation studies (3 papers), Water Quality Monitoring Technologies (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Water Science and Technology (305 citations), Industrial and Manufacturing Engineering (102 citations), Environmental Engineering (125 citations), Signal Processing (76 citations) and Health, Toxicology and Mutagenesis (93 citations). Kai Xia has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Yongfu Guo, Hailin Feng, Zhenzong Zhang, Zan Qu, Renbi Bai, Yuhao Zhao, Benjamin I. P. Rubinstein, Charles Sutton, J. D. Tygar and Blaine Nelson. Their work appears in journals such as Nanomaterials, ACS Omega, Remote Sensing, Applied Surface Science and Advanced Biology.
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.