Ling Fu

420 citations
26 papers · 325 · h-index 11

Impact in

  • Geophysics top 10%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Geochemistry and Elemental Analysis

Papers in

    • Geological and Geochemical Analysis 15
    • earthquake and tectonic studies 8
    • Hydrocarbon exploration and reservoir analysis 10

Ling Fu

23 papers receiving 318 citations

Peers

Ling Fu
Comparison fields: 5 of 29
  • Geophysics 220
  • Geochemistry and Petrology 80
  • Geology 56
  • Paleontology 38
  • Earth-Surface Processes 29
Replace Teagan Blaikie with:
Teagan Blaikie Australia
Jingbo Sun China
Long-Gang Fan China
Yamei Wang China
A. A. Stepashko Russia
Zhenhong Li China
Wenbin Zhu China
R. Parrish United Kingdom
Seung-Ik Park South Korea
Ling Fu relative to Teagan Blaikie Australia Teagan Blaikie's profile →
Citations per field
00.5×
Teagan Blaikie · 1×
Citations per year

Countries citing papers authored by Ling Fu

Since Specialization
Citations

This map shows the geographic impact of Ling Fu'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 Ling Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Fu more than expected).

Fields of papers citing papers by Ling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling Fu. 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 Ling Fu. The network helps show where Ling Fu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ling Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ling Fu Line = papers co-authored together Ling Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201886
2 201832
3 201827
4 202025
5 202021
6
Heavy mineral feature and provenance analysis of Paleogene Lulehe Formation in Qaidam Basin
201317
7 202117
8 202217
9 202016
10 201811
11 202310
12 201610
13 20238
14 20227
15 20215
16 20244
17 20214
18 20232
19 20251
20 20251

About Ling Fu

Ling Fu is a scholar working on Geophysics, Mechanics of Materials, Geochemistry and Petrology, Artificial Intelligence and Geology, having authored 26 papers that have together received 325 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (15 papers), Hydrocarbon exploration and reservoir analysis (10 papers), earthquake and tectonic studies (8 papers), Geochemistry and Geologic Mapping (6 papers), Geochemistry and Elemental Analysis (6 papers), Geological and Geophysical Studies (5 papers), Geological formations and processes (3 papers) and Geology and Paleoclimatology Research (3 papers). The work is most often cited by research in Geophysics (220 citations), Geochemistry and Petrology (80 citations), Geology (56 citations), Paleontology (38 citations) and Earth-Surface Processes (29 citations). Ling Fu has collaborated with scholars based in China, Romania and United Kingdom. Frequent co-authors include Xing Jian, Ping Guan, Wei Zhang, Fan Feng, Wei Zhang, Fan Feng, Hanjing Fu, Wei Zhang, Xin Wang and Hua Jiang. Their work appears in journals such as Marine and Petroleum Geology, Environmental Geochemistry and Health, Basin Research, Petroleum Exploration and Development and Journal of Asian 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.

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