Yan-Wang Wu

755 citations
19 papers · 658 · h-index 12

Impact in

  • Geophysics top 2%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Geochemistry and Elemental Analysis

Papers in

    • Geological and Geochemical Analysis 18
    • High-pressure geophysics and materials 11
    • earthquake and tectonic studies 8
    • Geochemistry and Geologic Mapping 11

Yan-Wang Wu

18 papers receiving 613 citations

Peers

Yan-Wang Wu
Comparison fields: 5 of 21
  • Geophysics 643
  • Geochemistry and Petrology 115
  • Paleontology 72
  • Geology 51
  • Artificial Intelligence 283
Replace Jun-Hong Zhao with:
Jun-Hong Zhao China
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Songbai Peng China
Yu Yuan China
Yongsheng Dong China
Kun-Guang Yang China
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Yan-Wang Wu relative to Jun-Hong Zhao China Jun-Hong Zhao's profile →
Citations per field
00.5×1.5×2.1×
Jun-Hong Zhao · 1×
Citations per year

Countries citing papers authored by Yan-Wang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Wang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Wang 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 Yan-Wang Wu. The network helps show where Yan-Wang Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Yan-Wang Wu, 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 Yan-Wang Wu Line = papers co-authored together Yan-Wang Wu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2011114
2 201397
3 201479
4 201458
5 201457
6 201555
7 200953
8 201344
9 201329
10 201316
11 201713
12 201711
13 201510
14 20148
15 20236
16 20145
17 20162
18 20221
19 20230

About Yan-Wang Wu

Yan-Wang Wu is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Economics and Econometrics and Transportation, having authored 19 papers that have together received 658 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (18 papers), Geochemistry and Geologic Mapping (11 papers), High-pressure geophysics and materials (11 papers), earthquake and tectonic studies (8 papers), Geochemistry and Elemental Analysis (3 papers), Geochemistry and Geochronology of Asian Mineral Deposits (2 papers), Human Mobility and Location-Based Analysis (1 paper) and Urban Transport and Accessibility (1 paper). The work is most often cited by research in Geophysics (643 citations), Geochemistry and Petrology (115 citations), Paleontology (72 citations), Geology (51 citations) and Artificial Intelligence (283 citations). Yan-Wang Wu has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Cai Li, Chao-Ming Xie, Ming Wang, Peiyuan Hu, Mengjing Xu, Cai Li, Cai Li, Xingzhou Zhang, Dunyi Liu and Yusheng Wan. Their work appears in journals such as International Geology Review, Journal of Earth Science, Science China Earth Sciences, Tectonophysics and Heritage Science.

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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