Lingli Long
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 32
- Geological and Geochemical Analysis 32
- earthquake and tectonic studies 19
- High-pressure geophysics and materials 10
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- Geochemistry and Geologic Mapping 22
- Co-authors
- Qing Qian (4 shared papers)Jun Gao (4 shared papers)Reiner Klemd (3 shared papers)Jingbin Wang (19 shared papers)Yuwang Wang (28 shared papers)Dunyi Liu (1 shared paper)Wei Liu (1 shared paper)Wen Su (1 shared paper)
In The Last Decade
Lingli Long
35 papers receiving 1.3k citations
Lingli Long's Hit Papers
Peers
Comparison fields: 5 of 34
- Geophysics 1.3k
- Geochemistry and Petrology 157
- Artificial Intelligence 784
- Paleontology 49
- Geology 34
Countries citing papers authored by Lingli Long
This map shows the geographic impact of Lingli Long'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 Lingli Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingli Long more than expected).
Fields of papers citing papers by Lingli Long
This network shows the impact of papers produced by Lingli Long. 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 Lingli Long. The network helps show where Lingli Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingli Long, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tectonic evolution of the South Tianshan orogen and adjacent regions, NW China: geochemical and age constraints of granitoid rocks Hit paper breakdown → | 2008 | 543 |
| 2 | 2011 | 273 | |
| 3 | 2009 | 107 | |
| 4 | 2017 | 57 | |
| 5 | 2008 | 55 | |
| 6 | 2019 | 44 | |
| 7 | 2016 | 35 | |
| 8 | 2012 | 35 | |
| 9 | 2019 | 29 | |
| 10 | 2017 | 21 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 14 | |
| 13 | 2019 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2008 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2011 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2020 | 7 |
About Lingli Long
Lingli Long is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Economics and Econometrics and Molecular Biology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (32 papers), Geochemistry and Geologic Mapping (22 papers), earthquake and tectonic studies (19 papers), High-pressure geophysics and materials (10 papers), Geochemistry and Elemental Analysis (9 papers), Geochemistry and Geochronology of Asian Mineral Deposits (6 papers), Metal Extraction and Bioleaching (2 papers) and Geomagnetism and Paleomagnetism Studies (2 papers). The work is most often cited by research in Geophysics (1.3k citations), Geochemistry and Petrology (157 citations), Artificial Intelligence (784 citations), Paleontology (49 citations) and Geology (34 citations). Lingli Long has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Qing Qian, Jun Gao, Reiner Klemd, Jingbin Wang, Yuwang Wang, Dunyi Liu, Wei Liu, Wen Su, Yitian Wang and Xi Zhang. Their work appears in journals such as Ore Geology Reviews, Lithos, Geoscience Frontiers, Journal of Asian Earth Sciences and Canadian Journal of Earth Sciences.
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.