Dawei Mu

525 total citations
24 papers, 323 citations indexed

About

Dawei Mu is a scholar working on Geophysics, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Dawei Mu has authored 24 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Geophysics, 10 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Dawei Mu's work include Seismic Waves and Analysis (12 papers), Seismology and Earthquake Studies (8 papers) and earthquake and tectonic studies (8 papers). Dawei Mu is often cited by papers focused on Seismic Waves and Analysis (12 papers), Seismology and Earthquake Studies (8 papers) and earthquake and tectonic studies (8 papers). Dawei Mu collaborates with scholars based in United States, Taiwan and China. Dawei Mu's co-authors include Po Chen, En‐Jui Lee, Liqiang Wang, Kenneth M. Merz, Madushanka Manathunga, Andreas W. Götz, Ruey‐Juin Rau, Yifeng Cui, Peng Wang and K. B. Olsen and has published in prestigious journals such as Earth and Planetary Science Letters, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Dawei Mu

23 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dawei Mu United States	12	177	116	34	25	23	24	323
Denisse Pastén Chile	13	145 0.8×	76 0.7×	14 0.4×	4 0.2×	12 0.5×	37	334
Сhen Liu China	12	180 1.0×	124 1.1×	86 2.5×	10 0.4×	3 0.1×	46	478
R. Holzner Switzerland	12	116 0.7×	53 0.5×	152 4.5×	68 2.7×	36 1.6×	33	560
Ossian O’Reilly United States	10	300 1.7×	239 2.1×	70 2.1×	19 0.8×	12 0.5×	17	483
Michael Rudolf Germany	10	155 0.9×	47 0.4×	8 0.2×	11 0.4×	18 0.8×	33	309
В. А. Новиков Russia	10	171 1.0×	34 0.3×	16 0.5×	6 0.2×	6 0.3×	46	286
Chunbo Zhou China	5	15 0.1×	54 0.5×	19 0.6×	12 0.5×	26 1.1×	16	379
Jeff Larkin United States	11	40 0.2×	30 0.3×	32 0.9×	24 1.0×	23 1.0×	15	294
K. Karamanos Greece	12	154 0.9×	121 1.0×	18 0.5×	2 0.1×	3 0.1×	28	349

Countries citing papers authored by Dawei Mu

Since Specialization

Citations

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

Fields of papers citing papers by Dawei Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Mu. A scholar is included among the top collaborators of Dawei Mu 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 Dawei Mu. Dawei Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, En‐Jui, et al.. (2022). RED-PAN: Real-Time Earthquake Detection and Phase-Picking With Multitask Attention Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 12 indexed citations

Zhang, Jiawei, et al.. (2022). Design and simulation of reference voltage sources circuit in lasers. Microwave and Optical Technology Letters. 65(5). 1080–1085. 2 indexed citations

Lee, En‐Jui, et al.. (2022). Toward Fully Autonomous Seismic Networks: Backprojecting Deep Learning-Based Phase Time Functions for Earthquake Monitoring on Continuous Recordings. Seismological Research Letters. 93(3). 1880–1894. 11 indexed citations

Lee, En‐Jui, et al.. (2022). Mesh-free simulation of two-phase fluid flow in porous media based on the shock-fitting method. Journal of Petroleum Science and Engineering. 215. 110637–110637.

Chen, Po, et al.. (2021). Coevolution of Weathering Front and Water Table. Geophysical Research Letters. 48(20). 3 indexed citations

Lee, En‐Jui, et al.. (2021). ARRU Phase Picker: Attention Recurrent-Residual U-Net for Picking SeismicP- andS-Phase Arrivals. Seismological Research Letters. 92(4). 2410–2428. 30 indexed citations

Kindratenko, Volodymyr, Dawei Mu, Sayed Hadi Hashemi, et al.. (2020). HAL: Computer System for Scalable Deep Learning. Practice and Experience in Advanced Research Computing. 41–48. 32 indexed citations

Lee, En‐Jui, et al.. (2020). GPU-Accelerated Automatic Microseismic Monitoring Algorithm (GAMMA) and Its Application to the 2019 Ridgecrest Earthquake Sequence. Seismological Research Letters. 91(4). 2062–2074. 14 indexed citations

Chen, Po, et al.. (2020). Seismic evidence of glacial deposits inhibiting weathering of local bedrock at a snow-dominated subalpine watershed. Earth and Planetary Science Letters. 549. 116517–116517. 4 indexed citations

10.

Lee, En‐Jui, Dawei Mu, Wei Wang, & Po Chen. (2020). Weighted Template-Matching Algorithm (WTMA) for Improved Foreshock Detection of the 2019 Ridgecrest Earthquake Sequence. Bulletin of the Seismological Society of America. 110(4). 1832–1844. 10 indexed citations

11.

Lee, En‐Jui, et al.. (2019). Towards Automated Real-Time Detection and Location of Large-Scale Landslides through Seismic Waveform Back Projection. Geofluids. 2019. 1–14. 13 indexed citations

12.

Mu, Dawei, et al.. (2019). In-situ Analysis and Visualization of Earthquake Simulation. 1–5. 1 indexed citations

13.

Lee, En‐Jui, Po Chen, Dawei Mu, Ruey‐Juin Rau, & Che‐Min Lin. (2018). Coseismic Velocity Variations Associated with the 2018 Mw 6.4 Hualien Earthquake Estimated Using Repeating Earthquakes. Seismological Research Letters. 90(1). 118–130. 3 indexed citations

14.

Mu, Dawei, et al.. (2018). Deep Learning for Seismic Template Recognition. 1–6. 1 indexed citations

15.

Mu, Dawei, Pietro Cicotti, Yifeng Cui, En‐Jui Lee, & Po Chen. (2017). A Buffering Approach to Manage I/O in a Normalized Cross-Correlation Earthquake Detection Code for Large Seismic Datasets. 1–6. 1 indexed citations

16.

Roten, D., Yifeng Cui, K. B. Olsen, et al.. (2016). High-Frequency Nonlinear Earthquake Simulations on Petascale Heterogeneous Supercomputers. 957–968. 41 indexed citations

17.

Chai, Rong, et al.. (2013). A Novel MAD-Based Network Selection Algorithm for Heterogeneous Networks. 2.12–2.12. 2 indexed citations

18.

Mu, Dawei, Po Chen, & Liqiang Wang. (2013). Accelerating the discontinuous Galerkin method for seismic wave propagation simulations using multiple GPUs with CUDA and MPI. Earthquake Science. 26(6). 377–393. 15 indexed citations

19.

Mu, Dawei, Po Chen, & Liqiang Wang. (2012). Implementation of the Discontinuous Galerkin Method for Solving the Seismic Wave Equation Using the Graphic Processing Unit (GPU). 86. 1–6. 1 indexed citations

20.

Mu, Dawei, Po Chen, & Liqiang Wang. (2012). Accelerating the discontinuous Galerkin method for seismic wave propagation simulations using the graphic processing unit (GPU)—single-GPU implementation. Computers & Geosciences. 51. 282–292. 18 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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