Dun Wang

64 papers receiving 1.3k citations

Dun Wang's Hit Papers

Rapid report of the 8 January 2022 MS 6.9 Menyuan earthquake, Qinghai, China 2022 · 87 citations
870+1+2Years since publication255075

Peers

Dun Wang
Comparison fields: 5 of 53
  • Geophysics 759
  • Instrumentation 22
  • Astronomy and Astrophysics 166
  • Aerospace Engineering 174
  • Civil and Structural Engineering 125
Replace Fabrizio Bernardi with:
Fabrizio Bernardi Italy
Nicolas Brachet France
Brendan W. Crowell United States
Talat Iqbal Pakistan
Maren Böse Switzerland
Miaki Ishii United States
Siddharth Krishnamoorthy United States
Philip S. Blom United States
Alexander R. Hutko United States
Il‐Young Che South Korea
Dun Wang relative to Fabrizio Bernardi Italy Fabrizio Bernardi's profile →
Citations per field
00.5×2×4×6×8.9×
Fabrizio Bernardi · 1×
Citations per year

Countries citing papers authored by Dun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015126
2
Rapid report of the 8 January 2022 MS 6.9 Menyuan earthquake, Qinghai, China
Hit paper breakdown →
202287
3 202079
4 201177
5 201672
6 201267
7 201165
8 202357
9 202254
10 201637
11 202236
12 202035
13 201633
14 201629
15 201829
16 201624
17 201923
18 202323
19 201620
20 201720

About Dun Wang

Dun Wang is a scholar working on Geophysics, Aerospace Engineering, Artificial Intelligence, Civil and Structural Engineering and Astronomy and Astrophysics, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include earthquake and tectonic studies (45 papers), GNSS positioning and interference (12 papers), Seismology and Earthquake Studies (10 papers), Seismic Performance and Analysis (4 papers), Stellar, planetary, and galactic studies (3 papers), Seismic Waves and Analysis (3 papers), Network Time Synchronization Technologies (2 papers) and Inertial Sensor and Navigation (1 paper). The work is most often cited by research in Geophysics (759 citations), Instrumentation (22 citations), Astronomy and Astrophysics (166 citations), Aerospace Engineering (174 citations) and Civil and Structural Engineering (125 citations). Dun Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Mori Jim, David W. Hogg, Daniel T. Foreman-Mackey, Bernhard Schölkopf, Kazuki Koketsu, Qiang Yao, Takahiko Uchide, Timothy D. Morton, Benjamin T. Montet and Hitoshi Kawakatsu. Their work appears in journals such as Journal of Earth Science, Seismological Research Letters, Bulletin of the Seismological Society of America, Geophysical Research Letters and Journal of Geophysical Research Solid Earth.

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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