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
-
- Remote Sensing and LiDAR Applications 6
- Co-authors
- Yongfu Guo (7 shared papers)Hailin Feng (10 shared papers)Zhenzong Zhang (4 shared papers)Xiaochen Du (6 shared papers)Zan Qu (4 shared papers)Benjamin I. P. Rubinstein (2 shared papers)Charles A. Sutton (2 shared papers)Blaine Nelson (2 shared papers)
- Journals
- Nanomaterials (4 papers)ACS Omega (2 papers)Forests (2 papers)Remote Sensing (2 papers)Materials (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Kai Xia
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 123
- Water Science and Technology 328
- Waste Management and Disposal 103
- Signal Processing 122
- Environmental Engineering 137
- Artificial Intelligence 282
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exploiting machine learning to subvert your spam filter | 2008 | 204 |
| 2 | 2020 | 91 | |
| 3 | 2009 | 85 | |
| 4 | 2019 | 66 | |
| 5 | 2019 | 65 | |
| 6 | 2018 | 62 | |
| 7 | 2019 | 61 | |
| 8 | 2015 | 57 | |
| 9 | 2019 | 52 | |
| 10 | 2021 | 39 | |
| 11 | 2016 | 36 | |
| 12 | 2021 | 35 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 26 | |
| 15 | 2024 | 25 | |
| 16 | 2021 | 23 | |
| 17 | 2021 | 22 | |
| 18 | 2020 | 22 | |
| 19 | 2018 | 21 | |
| 20 | 2024 | 17 |
About Kai Xia
Kai Xia is a scholar working on Water Science and Technology, Environmental Engineering, Organic Chemistry, Waste Management and Disposal and Health, Toxicology and Mutagenesis, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (12 papers), Nanomaterials for catalytic reactions (8 papers), Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (6 papers), Remote Sensing and Land Use (5 papers), Remote-Sensing Image Classification (3 papers), Mercury impact and mitigation studies (3 papers) and Wood and Agarwood Research (3 papers). The work is most often cited by research in Water Science and Technology (328 citations), Waste Management and Disposal (103 citations), Signal Processing (122 citations), Environmental Engineering (137 citations) and Artificial Intelligence (282 citations). Kai Xia has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Yongfu Guo, Hailin Feng, Zhenzong Zhang, Xiaochen Du, Zan Qu, Benjamin I. P. Rubinstein, Charles A. Sutton, Blaine Nelson, J. D. Tygar and Marco Barreno. Their work appears in journals such as Nanomaterials, ACS Omega, Forests, Remote Sensing and Materials.
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.