Lingsen Meng

4.1k total citations · 3 hit papers
62 papers, 3.1k citations indexed

About

Lingsen Meng is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Lingsen Meng has authored 62 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Geophysics, 11 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in Lingsen Meng's work include earthquake and tectonic studies (58 papers), Seismic Waves and Analysis (30 papers) and High-pressure geophysics and materials (29 papers). Lingsen Meng is often cited by papers focused on earthquake and tectonic studies (58 papers), Seismic Waves and Analysis (30 papers) and High-pressure geophysics and materials (29 papers). Lingsen Meng collaborates with scholars based in United States, China and France. Lingsen Meng's co-authors include Jean‐Paul Ampuero, Shengji Wei, Jean‐Philippe Avouac, Teng Wang, Hui Huang, Asaf Inbal, Zacharie Duputel, Roland Bürgmann, Anthony Sladen and Victor C. Tsai and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.

In The Last Decade

Lingsen Meng

60 papers receiving 3.0k citations

Hit Papers

The 2011 Magnitude 9.0 Tohoku-Oki Earthquake: Mosaicking ... 2011 2026 2016 2021 2011 2015 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lingsen Meng United States 27 2.9k 499 230 126 122 62 3.1k
Martin Vallée France 32 3.0k 1.1× 476 1.0× 291 1.3× 105 0.8× 65 0.5× 83 3.2k
Efthimios Sokos Greece 28 1.9k 0.7× 350 0.7× 243 1.1× 75 0.6× 84 0.7× 100 2.1k
H. Benz United States 38 4.2k 1.5× 834 1.7× 275 1.2× 83 0.7× 111 0.9× 146 4.5k
Jim Mori Japan 33 3.6k 1.3× 696 1.4× 315 1.4× 188 1.5× 161 1.3× 101 3.9k
Lupei Zhu United States 38 5.6k 2.0× 635 1.3× 212 0.9× 84 0.7× 180 1.5× 101 5.8k
Zacharie Duputel France 28 2.9k 1.0× 697 1.4× 96 0.4× 108 0.9× 69 0.6× 65 3.1k
Bernd Schurr Germany 31 2.9k 1.0× 348 0.7× 89 0.4× 71 0.6× 63 0.5× 78 3.1k
Shengji Wei Singapore 31 3.7k 1.3× 533 1.1× 268 1.2× 245 1.9× 257 2.1× 129 4.1k
Kuo‐Fong Ma Taiwan 33 3.7k 1.3× 659 1.3× 463 2.0× 156 1.2× 157 1.3× 135 4.0k
Jaime Campos Chile 25 2.5k 0.9× 311 0.6× 302 1.3× 110 0.9× 42 0.3× 68 2.6k

Countries citing papers authored by Lingsen Meng

Since Specialization
Citations

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

Fields of papers citing papers by Lingsen Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingsen Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Lingsen Meng. A scholar is included among the top collaborators of Lingsen Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lingsen Meng. Lingsen Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Bao, Han, et al.. (2023). Understanding and Mitigating the Spatial Bias of Earthquake Source Imaging With Regional Slowness Enhanced Back‐Projection. Journal of Geophysical Research Solid Earth. 128(5). 1 indexed citations
3.
Meng, Lingsen, et al.. (2023). Adjoint Inversion of Near‐Field Pressure Gauge Recordings for Rapid and Accurate Tsunami Source Characterization. Earth and Space Science. 10(12). 5 indexed citations
4.
Meng, Lingsen, Chen Ji, Jean‐Paul Ampuero, et al.. (2023). The overall-subshear and multi-segment rupture of the 2023 Mw7.8 Kahramanmaraş, Turkey earthquake in millennia supercycle. Communications Earth & Environment. 4(1). 43 indexed citations
5.
Yunjun, Zhang, Chen Ji, Lingsen Meng, et al.. (2023). Understanding the Rupture Kinematics and Slip Model of the 2021 Mw 7.4 Maduo Earthquake: A Bilateral Event on Bifurcating Faults. Journal of Geophysical Research Solid Earth. 128(4). 9 indexed citations
6.
Feng, Tian, et al.. (2022). EdgePhase: A Deep Learning Model for Multi‐Station Seismic Phase Picking. Geochemistry Geophysics Geosystems. 23(11). 24 indexed citations
7.
Bao, Han, et al.. (2022). Global frequency of oceanic and continental supershear earthquakes. Nature Geoscience. 15(11). 942–949. 35 indexed citations
8.
Meng, Lingsen, et al.. (2022). Seismic Waveform‐Coherence Controlled by Earthquake Source Dimensions. Journal of Geophysical Research Solid Earth. 127(5). 2 indexed citations
9.
Feng, Tian, Lingsen Meng, & Hui Huang. (2020). Detecting Offshore Seismicity: Combining Backprojection Imaging and Matched‐Filter Detection. Journal of Geophysical Research Solid Earth. 125(8). 5 indexed citations
10.
Huang, Hui, Lingsen Meng, Roland Bürgmann, Wei Wang, & Kang Wang. (2020). Spatio-temporal foreshock evolution of the 2019 M 6.4 and M 7.1 Ridgecrest, California earthquakes. Earth and Planetary Science Letters. 551. 116582–116582. 48 indexed citations
11.
Meng, Lingsen, et al.. (2020). A Multi‐Array Back‐Projection Approach for Tsunami Warning. Geophysical Research Letters. 47(14). 12 indexed citations
12.
Meng, Lingsen, et al.. (2019). Nucleation and Kinematic Rupture of the 2017 Mw 8.2 Tehuantepec Earthquake. Geophysical Research Letters. 46(7). 3745–3754. 9 indexed citations
13.
Huang, Hui, et al.. (2019). Spatio-temporal foreshock evolution of the 2019 M 6.4 and M 7.1 Ridgecrest, California Earthquakes. AGU Fall Meeting Abstracts. 2019. 3 indexed citations
14.
Yu, Chen, Lingsen Meng, Ailin Zhang, & Lianxing Wen. (2018). Source Complexity of the 2015 Mw 7.9 Bonin Earthquake. Geochemistry Geophysics Geosystems. 19(7). 2109–2120. 8 indexed citations
15.
Xu, Wenbin, Guangcai Feng, Lingsen Meng, et al.. (2018). Transpressional Rupture Cascade of the 2016 Mw 7.8 Kaikoura Earthquake, New Zealand. Journal of Geophysical Research Solid Earth. 123(3). 2396–2409. 87 indexed citations
16.
Feng, Tian & Lingsen Meng. (2018). A High‐Frequency Distance Metric in Ground‐Motion Prediction Equations Based on Seismic Array Backprojections. Geophysical Research Letters. 45(21). 7 indexed citations
17.
Ruppert, N. A., et al.. (2018). Complex Faulting and Triggered Rupture During the 2018 MW 7.9 Offshore Kodiak, Alaska, Earthquake. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 7 indexed citations
18.
Yue, Han, Jorge C. Castellanos, Chunquan Yu, Lingsen Meng, & Zhongwen Zhan. (2017). Localized water reverberation phases and its impact on back-projection images. AGU Fall Meeting Abstracts. 2017. 11 indexed citations
19.
Yue, Han, Jorge C. Castellanos, Chunquan Yu, Lingsen Meng, & Zhongwen Zhan. (2017). Localized water reverberation phases and its impact on backprojection images. Geophysical Research Letters. 44(19). 9573–9580. 32 indexed citations
20.
Huang, Hui, Wenbin Xu, Lingsen Meng, Roland Bürgmann, & Juan Carlos Báez. (2016). Early aftershocks and afterslip surrounding the 2015 Mw 8.4 Illapel rupture. Earth and Planetary Science Letters. 457. 282–291. 35 indexed citations

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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