Ming‐Xing Ling
Impact in
- Geophysics top 0.2%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 0.5%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 84
- Geological and Geochemical Analysis 83
- earthquake and tectonic studies 46
- High-pressure geophysics and materials 38
-
- Geochemistry and Elemental Analysis 12
- Co-authors
- Weidong SunXing DingXiaoyong YangWeiming FanCongying LiHuaying LiangHong ZhangRobert E. Zartman
- Journals
- Ore Geology Reviews (15 papers)Lithos (12 papers)International Geology Review (11 papers)Geochimica et Cosmochimica Acta (6 papers)The Journal of Geology (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ming‐Xing Ling
95 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Geophysics 4.2k
- Geochemistry and Petrology 720
- Artificial Intelligence 2.4k
- Geology 197
- Paleontology 223
Countries citing papers authored by Ming‐Xing Ling
This map shows the geographic impact of Ming‐Xing Ling'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 Ming‐Xing Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Xing Ling more than expected).
Fields of papers citing papers by Ming‐Xing Ling
This network shows the impact of papers produced by Ming‐Xing Ling. 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 Ming‐Xing Ling. The network helps show where Ming‐Xing Ling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Xing Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 1 | |
| 17 | Porphyry deposits and oxidized magmas Hit paper breakdown → | 2014 | 487 |
| 18 | 2011 | 17 | |
| 19 | 2011 | 46 | |
| 20 | 2009 | 44 |
About Ming‐Xing Ling
Ming‐Xing Ling is a scholar working on Geophysics, Geochemistry and Petrology, Artificial Intelligence, Inorganic Chemistry and Atmospheric Science, having authored 99 papers that have together received 4.7k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (83 papers), Geochemistry and Geologic Mapping (50 papers), earthquake and tectonic studies (46 papers), High-pressure geophysics and materials (38 papers), Geochemistry and Elemental Analysis (12 papers), Geology and Paleoclimatology Research (9 papers), Radioactive element chemistry and processing (8 papers) and Paleontology and Stratigraphy of Fossils (4 papers). The work is most often cited by research in Geophysics (4.2k citations), Geochemistry and Petrology (720 citations), Artificial Intelligence (2.4k citations), Geology (197 citations) and Paleontology (223 citations). Ming‐Xing Ling has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Weidong Sun, Xing Ding, Xiaoyong Yang, Weiming Fan, Congying Li, Huaying Liang, Hong Zhang, Robert E. Zartman, Jibin Zhou and Fangyue Wang. Their work appears in journals such as Ore Geology Reviews, Lithos, International Geology Review, Geochimica et Cosmochimica Acta and The Journal of Geology.
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.