Meiling Wu
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 15
- Geological and Geochemical Analysis 15
- High-pressure geophysics and materials 14
- earthquake and tectonic studies 10
-
- Place Attachment and Urban Studies 3
- Co-authors
- Guochun Zhao (8 shared papers)Min Sun (8 shared papers)Sanzhong Li (7 shared papers)Changqing Yin (6 shared papers)Pui Yuk Tam (6 shared papers)Yanhong He (4 shared papers)Zhian Bao (3 shared papers)Shoufa Lin (5 shared papers)
- Journals
- Precambrian Research (5 papers)Lithos (3 papers)Journal of Rural Studies (2 papers)Sustainability (2 papers)Ultrasonics Sonochemistry (2 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Meiling Wu
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 77
- Geophysics 1.4k
- Geochemistry and Petrology 182
- Artificial Intelligence 443
- Geology 66
- Paleontology 52
Countries citing papers authored by Meiling Wu
This map shows the geographic impact of Meiling Wu'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 Meiling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Wu more than expected).
Fields of papers citing papers by Meiling Wu
This network shows the impact of papers produced by Meiling Wu. 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 Meiling Wu. The network helps show where Meiling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Wu, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 215 | |
| 2 | 2011 | 205 | |
| 3 | 2018 | 175 | |
| 4 | 2013 | 173 | |
| 5 | 2012 | 164 | |
| 6 | 2013 | 142 | |
| 7 | 2011 | 114 | |
| 8 | 2018 | 70 | |
| 9 | 2015 | 69 | |
| 10 | 2013 | 48 | |
| 11 | 2021 | 38 | |
| 12 | 2014 | 35 | |
| 13 | 2021 | 21 | |
| 14 | 2024 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2024 | 15 | |
| 19 | 2016 | 13 | |
| 20 | 2022 | 10 |
About Meiling Wu
Meiling Wu is a scholar working on Geophysics, Sociology and Political Science, Economics and Econometrics, Artificial Intelligence and Transportation, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (15 papers), High-pressure geophysics and materials (14 papers), earthquake and tectonic studies (10 papers), Geochemistry and Geologic Mapping (5 papers), Urban Transport and Accessibility (4 papers), Land Use and Ecosystem Services (3 papers), Place Attachment and Urban Studies (3 papers) and Rural development and sustainability (2 papers). The work is most often cited by research in Geophysics (1.4k citations), Geochemistry and Petrology (182 citations), Artificial Intelligence (443 citations), Geology (66 citations) and Paleontology (52 citations). Meiling Wu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Guochun Zhao, Min Sun, Sanzhong Li, Changqing Yin, Pui Yuk Tam, Yanhong He, Zhian Bao, Shoufa Lin, Yang Jiang and Longming Li. Their work appears in journals such as Precambrian Research, Lithos, Journal of Rural Studies, Sustainability and Ultrasonics Sonochemistry.
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.