Dawei Liu

3.1k total citations
144 papers, 2.1k citations indexed

About

Dawei Liu is a scholar working on Geophysics, Electrical and Electronic Engineering and Ocean Engineering. According to data from OpenAlex, Dawei Liu has authored 144 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Geophysics, 25 papers in Electrical and Electronic Engineering and 24 papers in Ocean Engineering. Recurrent topics in Dawei Liu's work include Seismic Imaging and Inversion Techniques (35 papers), Seismic Waves and Analysis (19 papers) and Image and Signal Denoising Methods (9 papers). Dawei Liu is often cited by papers focused on Seismic Imaging and Inversion Techniques (35 papers), Seismic Waves and Analysis (19 papers) and Image and Signal Denoising Methods (9 papers). Dawei Liu collaborates with scholars based in China, United States and Canada. Dawei Liu's co-authors include Xihong Lin, Debashis Ghosh, Xiaokai Wang, Yun Yu, Hongwei Wu, Peng Gao, Wenchao Chen, Mauricio D. Sacchi, Cheng Wang and Wenchao Chen and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Dawei Liu

130 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dawei Liu 400 347 275 236 218 144 2.1k
Jianping Li 218 0.5× 204 0.6× 287 1.0× 83 0.4× 190 0.9× 96 1.7k
Jiangfeng Liu 388 1.0× 330 1.0× 179 0.7× 324 1.4× 271 1.2× 137 3.4k
Zhao 538 1.3× 299 0.9× 444 1.6× 497 2.1× 428 2.0× 780 3.6k
Qingsheng Liu 635 1.6× 205 0.6× 358 1.3× 93 0.4× 258 1.2× 181 3.0k
Heng Zhang 107 0.3× 493 1.4× 363 1.3× 135 0.6× 110 0.5× 172 2.1k
Feng Han 411 1.0× 749 2.2× 690 2.5× 180 0.8× 478 2.2× 122 3.3k
Ren 125 0.3× 574 1.7× 277 1.0× 547 2.3× 191 0.9× 396 2.8k
Yuming Liu 181 0.5× 410 1.2× 152 0.6× 436 1.8× 253 1.2× 163 2.8k
Ding Ding 190 0.5× 383 1.1× 387 1.4× 655 2.8× 456 2.1× 483 2.6k
Hong Li 179 0.4× 424 1.2× 255 0.9× 759 3.2× 323 1.5× 265 3.6k

Countries citing papers authored by Dawei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Liu. A scholar is included among the top collaborators of Dawei Liu 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 Liu. Dawei Liu 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.
Liu, Dawei, et al.. (2025). From shallow to deep: Enhancing seismic resolution with weak supervision. Geophysics. 90(3). V223–V239. 1 indexed citations
2.
Chen, Wenchao, et al.. (2025). Unsupervised Diffusion Model for Seismic Deconvolution. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
3.
Deng, Shang, et al.. (2024). Genetic mechanism and main controlling factors of deep marine condensate reservoirs: A case study of the Shunbei No.4 fault zone in Tarim Basin, NW China. SHILAP Revista de lepidopterología. 9(5). 347–359. 4 indexed citations
4.
Liu, Dawei, et al.. (2024). Biomechanical effects of clear aligner with different shape design at extraction space area during anterior teeth retraction. Orthodontics and Craniofacial Research. 27(5). 740–749. 5 indexed citations
5.
Trad, Daniel, et al.. (2024). Robust seismic data denoising via self-supervised deep learning. Geophysics. 89(5). V437–V451. 6 indexed citations
6.
Cai, Chunfang, Daowei Wang, Yu Qi, et al.. (2023). Reconfiguring oxygenation at ∼1.4 Ga: New constraints as informed by the ancient oceanic sulfur cycle. Global and Planetary Change. 232. 104345–104345. 2 indexed citations
7.
Liu, Dawei, Mauricio D. Sacchi, Xiaokai Wang, & Wenchao Chen. (2023). Unsupervised Deep Learning for Ground Roll and Scattered Noise Attenuation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 18 indexed citations
8.
Liu, Dawei, et al.. (2022). Improving sparse representation with deep learning: A workflow for separating strong background interference. Geophysics. 88(1). WA253–WA266. 7 indexed citations
9.
Arnold, Douglas L., Colm Elliott, Dawei Liu, et al.. (2022). Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning. NeuroImage. 265. 119787–119787. 10 indexed citations
10.
Liu, Dawei, et al.. (2022). Eliminating harmonic noise in vibroseis data through sparsity-promoted waveform modeling. Geophysics. 87(3). V183–V191. 11 indexed citations
11.
Liu, Dawei, Mauricio D. Sacchi, & Wenchao Chen. (2022). Efficient Tensor Completion Methods for 5-D Seismic Data Reconstruction: Low-Rank Tensor Train and Tensor Ring. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 32 indexed citations
12.
Zhou, Yanhui, et al.. (2022). Seismic Intelligent Deblending via Plug and Play Method With Blended CSGs Trained Deep CNN Gaussian Denoiser. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 5 indexed citations
13.
Liu, Dawei, et al.. (2021). Attenuation of the Multiple Reflection-Refraction in 2-D Common-Shot Gather via Random-Derangement-Based FX Cadzow Filter. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 4 indexed citations
14.
Liu, Dawei, et al.. (2021). A dictionary learning method with atom splitting for seismic footprint suppression. Geophysics. 86(6). V509–V523. 10 indexed citations
15.
Wang, Xiaokai, et al.. (2021). A common-reflection-point gather random noise attenuation method based on the synchrosqueezing wavelet transform. Interpretation. 10(1). SA59–SA67. 1 indexed citations
16.
Liu, Dawei, et al.. (2020). An Unsupervised Deep Learning Method for Denoising Prestack Random Noise. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 44 indexed citations
17.
Liu, Dawei, et al.. (2019). Poststack Seismic Data Denoising Based on 3-D Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 58(3). 1598–1629. 111 indexed citations
18.
Guo, Fengyi, et al.. (2017). Research on Time Domain Characteristics and Mathematical Model of Electromagnetic Radiation Noise Produced by Single Arc. IEEE Transactions on Components Packaging and Manufacturing Technology. 7(12). 2008–2017. 7 indexed citations
19.
Liu, Dawei, Yun Yu, Jun‐ichiro Hayashi, Behdad Moghtaderi, & Hongwei Wu. (2014). Contribution of dehydration and depolymerization reactions during the fast pyrolysis of various salt-loaded celluloses at low temperatures. Fuel. 136. 62–68. 58 indexed citations
20.
Suita, Keiichiro, et al.. (2004). EFFECT OF ALC PANEL FINISHES ON STRUCTURAL PERFORMANCE : Test on full-scale three story steel frame for evaluation of seismic performance. Journal of Structural and Construction Engineering (Transactions of AIJ). 69(581). 135–141. 2 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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