Xiaolong Wang
Impact in
Papers in ⓘ
- Pollution 22
- Wastewater Treatment and Nitrogen Removal 20
-
- Topic Modeling 8
- Advanced Text Analysis Techniques 6
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Dawen Gao (16 shared papers)Trevor Darrell (3 shared papers)Yinbo Chen (1 shared paper)Zhuang Liu (1 shared paper)Huijuan Xu (1 shared paper)Yu Tao (3 shared papers)Xiaoli Huang (3 shared papers)Qingcai Chen (4 shared papers)
- Journals
- Bioresource Technology (4 papers)Environmental Science and Pollution Research (2 papers)Water Research (2 papers)The Science of The Total Environment (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaolong Wang
52 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Pollution 439
- Catalysis 92
- Environmental Engineering 180
- Industrial and Manufacturing Engineering 103
- Health, Toxicology and Mutagenesis 150
Countries citing papers authored by Xiaolong Wang
This map shows the geographic impact of Xiaolong 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 Xiaolong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Wang more than expected).
Fields of papers citing papers by Xiaolong Wang
This network shows the impact of papers produced by Xiaolong 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 Xiaolong Wang. The network helps show where Xiaolong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolong 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Hit paper breakdown → | 2021 | 265 |
| 2 | 2017 | 78 | |
| 3 | 2018 | 61 | |
| 4 | 2014 | 48 | |
| 5 | 2018 | 47 | |
| 6 | 2016 | 44 | |
| 7 | 2017 | 43 | |
| 8 | 2019 | 42 | |
| 9 | 2017 | 39 | |
| 10 | 2015 | 34 | |
| 11 | 2020 | 30 | |
| 12 | 2018 | 29 | |
| 13 | 2014 | 27 | |
| 14 | 2022 | 24 | |
| 15 | 2023 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2021 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2010 | 17 | |
| 20 | 2017 | 16 |
About Xiaolong Wang
Xiaolong Wang is a scholar working on Pollution, Artificial Intelligence, Computer Vision and Pattern Recognition, Ecology and Environmental Engineering, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (20 papers), Microbial Fuel Cells and Bioremediation (8 papers), Topic Modeling (8 papers), Microbial Community Ecology and Physiology (6 papers), Advanced Text Analysis Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Membrane Separation Technologies (5 papers) and Constructed Wetlands for Wastewater Treatment (5 papers). The work is most often cited by research in Pollution (439 citations), Catalysis (92 citations), Environmental Engineering (180 citations), Industrial and Manufacturing Engineering (103 citations) and Health, Toxicology and Mutagenesis (150 citations). Xiaolong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dawen Gao, Trevor Darrell, Yinbo Chen, Zhuang Liu, Huijuan Xu, Yu Tao, Xiaoli Huang, Qingcai Chen, Hong Liang and Chun‐Hong Chen. Their work appears in journals such as Bioresource Technology, Environmental Science and Pollution Research, Water Research, The Science of The Total Environment and Scientific Reports.
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.