Xiaoli Dai
Impact in
- Pollution top 5%
- Microbial bioremediation and biosurfactants
-
- Supercapacitor Materials and Fabrication
Papers in
- Pollution 12
- Microbial bioremediation and biosurfactants 12
-
- Advanced Fiber Optic Sensors 19
- Photonic and Optical Devices 15
- Semiconductor Lasers and Optical Devices 11
- Co-authors
- Shaohui Guo (9 shared papers)Guangxu Yan (6 shared papers)Jing Lv (6 shared papers)Jie Ma (3 shared papers)Stephen J. Mihailov (17 shared papers)Jitao Li (3 shared papers)Ming Zhang (3 shared papers)Dingyu Yang (3 shared papers)
- Journals
- RSC Advances (2 papers)Optical Engineering (2 papers)Measurement Science and Technology (2 papers)ACS Nano (1 paper)Journal of environmental chemical engineering (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xiaoli Dai
44 papers receiving 780 citations
Peers
Comparison fields: 5 of 80
- Pollution 229
- Electronic, Optical and Magnetic Materials 126
- Health, Toxicology and Mutagenesis 68
- Biomedical Engineering 203
- Analytical Chemistry 44
Countries citing papers authored by Xiaoli Dai
This map shows the geographic impact of Xiaoli Dai'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 Xiaoli Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Dai more than expected).
Fields of papers citing papers by Xiaoli Dai
This network shows the impact of papers produced by Xiaoli Dai. 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 Xiaoli Dai. The network helps show where Xiaoli Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Dai, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 75 | |
| 2 | 2020 | 69 | |
| 3 | 2004 | 66 | |
| 4 | 2016 | 63 | |
| 5 | 2018 | 60 | |
| 6 | 2020 | 59 | |
| 7 | 2021 | 47 | |
| 8 | 2019 | 43 | |
| 9 | 2002 | 29 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2015 | 24 | |
| 13 | 2023 | 22 | |
| 14 | 2020 | 20 | |
| 15 | 2023 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2006 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2010 | 12 |
About Xiaoli Dai
Xiaoli Dai is a scholar working on Pollution, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Analytical Chemistry and Ocean Engineering, having authored 47 papers that have together received 801 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (19 papers), Photonic and Optical Devices (15 papers), Microbial bioremediation and biosurfactants (12 papers), Semiconductor Lasers and Optical Devices (11 papers), Supercapacitor Materials and Fabrication (5 papers), Enhanced Oil Recovery Techniques (5 papers), Catalysis for Biomass Conversion (3 papers) and Toxic Organic Pollutants Impact (3 papers). The work is most often cited by research in Pollution (229 citations), Electronic, Optical and Magnetic Materials (126 citations), Health, Toxicology and Mutagenesis (68 citations), Biomedical Engineering (203 citations) and Analytical Chemistry (44 citations). Xiaoli Dai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Shaohui Guo, Guangxu Yan, Jing Lv, Jie Ma, Stephen J. Mihailov, Jitao Li, Ming Zhang, Dingyu Yang, Robert B. Walker and Pengcheng Fu. Their work appears in journals such as RSC Advances, Optical Engineering, Measurement Science and Technology, ACS Nano and Journal of environmental chemical engineering.
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.