Xiaomi Wang
Impact in
- Pollution top 2%
- Microbial bioremediation and biosurfactants
- Microplastics and Plastic Pollution
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- Landslides and related hazards
Papers in
- Co-authors
- Ying Teng (29 shared papers)Yongming Luo (8 shared papers)Wenjie Ren (16 shared papers)Yongming Luo (13 shared papers)Peter Christie (10 shared papers)Zhengao Li (6 shared papers)Can Yang (4 shared papers)Chuan‐Chao Dai (5 shared papers)
- Journals
- The Science of The Total Environment (6 papers)Journal of Hazardous Materials (4 papers)Remote Sensing (3 papers)Geocarto International (3 papers)Environmental Science & Technology (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaomi Wang
61 papers receiving 1.8k citations
Xiaomi Wang's Hit Papers
Peers
Comparison fields: 5 of 116
- Pollution 521
- Management, Monitoring, Policy and Law 215
- Health, Toxicology and Mutagenesis 201
- Soil Science 140
- Plant Science 498
Countries citing papers authored by Xiaomi Wang
This map shows the geographic impact of Xiaomi Wang'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 Xiaomi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomi Wang more than expected).
Fields of papers citing papers by Xiaomi Wang
This network shows the impact of papers produced by Xiaomi Wang. 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 Xiaomi Wang. The network helps show where Xiaomi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomi Wang, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 153 | |
| 2 | Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples Hit paper breakdown → | 2022 | 136 |
| 3 | 2021 | 126 | |
| 4 | 2020 | 123 | |
| 5 | 2020 | 82 | |
| 6 | 2015 | 82 | |
| 7 | 2023 | 68 | |
| 8 | 2014 | 66 | |
| 9 | 2013 | 63 | |
| 10 | 2014 | 59 | |
| 11 | 2022 | 52 | |
| 12 | 2020 | 51 | |
| 13 | 2023 | 46 | |
| 14 | 2019 | 45 | |
| 15 | 2018 | 40 | |
| 16 | 2017 | 40 | |
| 17 | 2015 | 38 | |
| 18 | 2021 | 36 | |
| 19 | 2015 | 34 | |
| 20 | 2021 | 31 |
About Xiaomi Wang
Xiaomi Wang is a scholar working on Pollution, Ecology, Environmental Engineering, Soil Science and Plant Science, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (11 papers), Microbial Community Ecology and Physiology (11 papers), Legume Nitrogen Fixing Symbiosis (7 papers), Soil Carbon and Nitrogen Dynamics (6 papers), Geotechnical Engineering and Analysis (5 papers), Soil Geostatistics and Mapping (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Wastewater Treatment and Nitrogen Removal (4 papers). The work is most often cited by research in Pollution (521 citations), Management, Monitoring, Policy and Law (215 citations), Health, Toxicology and Mutagenesis (201 citations), Soil Science (140 citations) and Plant Science (498 citations). Xiaomi Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ying Teng, Yongming Luo, Wenjie Ren, Yongming Luo, Peter Christie, Zhengao Li, Can Yang, Chuan‐Chao Dai, Yongfeng Xu and Leilei Liu. Their work appears in journals such as The Science of The Total Environment, Journal of Hazardous Materials, Remote Sensing, Geocarto International and Environmental Science & Technology.
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.