Wanting Li
Impact in
- Geophysics top 10%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Geophysics 10
- Geological and Geochemical Analysis 10
- Co-authors
- Andreas Audétat (2 shared papers)Jun Zhang (1 shared paper)Xingquan Liu (4 shared papers)Jian Guo (4 shared papers)Hua Wang (2 shared papers)Jiaoyu Wang (2 shared papers)Fu‐Cheng Lin (2 shared papers)Ching‐Yao Yang (1 shared paper)
- Journals
- Ore Geology Reviews (7 papers)IEEE Access (3 papers)Journal of Colloid and Interface Science (2 papers)The Science of The Total Environment (2 papers)Small (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Wanting Li
63 papers receiving 929 citations
Peers
Comparison fields: 5 of 126
- Geophysics 221
- Neurology 87
- Geochemistry and Petrology 53
- Pollution 67
- Artificial Intelligence 170
Countries citing papers authored by Wanting Li
This map shows the geographic impact of Wanting Li'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 Wanting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanting Li more than expected).
Fields of papers citing papers by Wanting Li
This network shows the impact of papers produced by Wanting Li. 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 Wanting Li. The network helps show where Wanting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanting Li, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 116 | |
| 2 | 2014 | 63 | |
| 3 | 2022 | 57 | |
| 4 | 2022 | 55 | |
| 5 | 2018 | 55 | |
| 6 | 2021 | 47 | |
| 7 | 2023 | 39 | |
| 8 | 2021 | 38 | |
| 9 | 2023 | 35 | |
| 10 | 2021 | 30 | |
| 11 | 2020 | 29 | |
| 12 | 2023 | 26 | |
| 13 | 2017 | 24 | |
| 14 | 2018 | 23 | |
| 15 | 2023 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2022 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 14 | |
| 20 | 2021 | 13 |
About Wanting Li
Wanting Li is a scholar working on Biomedical Engineering, Geophysics, Artificial Intelligence, Plant Science and Infectious Diseases, having authored 73 papers that have together received 952 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (10 papers), Geochemistry and Geologic Mapping (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Long-Term Effects of COVID-19 (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Advanced Photocatalysis Techniques (3 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Plasma Applications and Diagnostics (3 papers). The work is most often cited by research in Geophysics (221 citations), Neurology (87 citations), Geochemistry and Petrology (53 citations), Pollution (67 citations) and Artificial Intelligence (170 citations). Wanting Li has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Andreas Audétat, Jun Zhang, Xingquan Liu, Jian Guo, Hua Wang, Jiaoyu Wang, Fu‐Cheng Lin, Ching‐Yao Yang, Yunman Li and Lin Zhou. Their work appears in journals such as Ore Geology Reviews, IEEE Access, Journal of Colloid and Interface Science, The Science of The Total Environment and Small.
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.