Yinxi Wang
Impact in
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
- Geophysics top 10%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
Papers in ⓘ
-
- AI in cancer detection 12
- Geophysics 10
- Geological and Geochemical Analysis 10
- Co-authors
- Jun Chen (3 shared papers)Wenbo Rao (3 shared papers)Kai‐Jun Zhang (2 shared papers)Jiedong Yang (2 shared papers)Mattias Rantalainen (12 shared papers)Johan Hartman (9 shared papers)D. Nahon (1 shared paper)Enrique Merino (1 shared paper)
In The Last Decade
Yinxi Wang
34 papers receiving 829 citations
Peers
Comparison fields: 5 of 95
- Geochemistry and Petrology 158
- Geophysics 213
- Earth-Surface Processes 108
- Atmospheric Science 232
- Artificial Intelligence 290
Countries citing papers authored by Yinxi Wang
This map shows the geographic impact of Yinxi 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 Yinxi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinxi Wang more than expected).
Fields of papers citing papers by Yinxi Wang
This network shows the impact of papers produced by Yinxi 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 Yinxi Wang. The network helps show where Yinxi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yinxi 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 174 | |
| 2 | 2021 | 125 | |
| 3 | 2016 | 109 | |
| 4 | 2011 | 94 | |
| 5 | 1993 | 69 | |
| 6 | 2021 | 41 | |
| 7 | 2020 | 32 | |
| 8 | 2003 | 18 | |
| 9 | 2017 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2013 | 14 | |
| 13 | 1996 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 1990 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 1995 | 9 | |
| 19 | 1991 | 8 | |
| 20 | 2017 | 7 |
About Yinxi Wang
Yinxi Wang is a scholar working on Artificial Intelligence, Geophysics, Geochemistry and Petrology, Radiology, Nuclear Medicine and Imaging and Atmospheric Science, having authored 35 papers that have together received 848 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Geological and Geochemical Analysis (10 papers), Geochemistry and Elemental Analysis (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Geology and Paleoclimatology Research (6 papers), Breast Cancer Treatment Studies (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Paleontology and Stratigraphy of Fossils (3 papers). The work is most often cited by research in Geochemistry and Petrology (158 citations), Geophysics (213 citations), Earth-Surface Processes (108 citations), Atmospheric Science (232 citations) and Artificial Intelligence (290 citations). Yinxi Wang has collaborated with scholars based in China, Sweden and Finland. Frequent co-authors include Jun Chen, Wenbo Rao, Kai‐Jun Zhang, Jiedong Yang, Mattias Rantalainen, Johan Hartman, D. Nahon, Enrique Merino, Balázs Ács and Stephanie Robertson. Their work appears in journals such as Geochimica et Cosmochimica Acta, Breast Cancer Research, iScience, Geological Magazine and Applied Physics Letters.
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.