Shangxu Wang

3.7k total citations · 1 hit paper
195 papers, 3.0k citations indexed

About

Shangxu Wang is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Shangxu Wang has authored 195 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Geophysics, 115 papers in Ocean Engineering and 58 papers in Mechanical Engineering. Recurrent topics in Shangxu Wang's work include Seismic Imaging and Inversion Techniques (174 papers), Seismic Waves and Analysis (116 papers) and Hydraulic Fracturing and Reservoir Analysis (58 papers). Shangxu Wang is often cited by papers focused on Seismic Imaging and Inversion Techniques (174 papers), Seismic Waves and Analysis (116 papers) and Hydraulic Fracturing and Reservoir Analysis (58 papers). Shangxu Wang collaborates with scholars based in China, United Kingdom and United States. Shangxu Wang's co-authors include Sanyi Yuan, Tieyi Wang, Peidong Shi, Jianguo Zhao, Yanxiao He, Guanchao Wang, Jiwei Liu, Yongzhen Ji, Nan Tian and Xintao Chai and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Shangxu Wang

187 papers receiving 3.0k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Seismic Waveform Classification and First-Break Picking Using Convolution Neural Networks

2018 250 citations Sanyi Yuan, Jiwei Liu et al. IEEE Geoscience and Remote Sensing Letters profile →

Peers

Countries citing papers authored by Shangxu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shangxu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangxu Wang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A benchmark study for quasi-static numerical upscaling of seismic wave attenuation and dispersion in fractured poroelastic rocks 2023 ·Computers & Geosciences ·(unknown), Yanxiao He, Shangxu Wang, (unknown), Chao Sun	4
2	Surface-related multiple attenuation based on a self-supervised deep neural network with local wavefield characteristics 2023 ·Geophysics ·(unknown), Tianyue Hu, (unknown), Shangxu Wang	7
3	Iterative deblending using unsupervised learning with double-deep neural networks 2023 ·Geophysics ·(unknown), Tianyue Hu, Shangxu Wang	9
4	Gas-Bearing Prediction of Tight Sandstone Reservoir Using Semi-Supervised Learning and Transfer Learning 2022 ·IEEE Geoscience and Remote Sensing Letters ·(unknown), (unknown), (unknown), Sanyi Yuan, Shangxu Wang	14
5	Seismic multiple suppression based on a deep neural network method for marine data 2022 ·Geophysics ·(unknown), Tianyue Hu, Shangxu Wang, Jianxin Wei	15
6	Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery 2021 ·Geophysics ·Sanyi Yuan, (unknown), (unknown), (unknown), Shangxu Wang	49
7	k NN-based gas-bearing prediction using local waveform similarity gas-indication attribute — An application to a tight sandstone reservoir 2021 ·Interpretation ·(unknown), Sanyi Yuan, (unknown), Shangxu Wang	16
8	Seismic wave modeling in vertically varying viscoelastic media with general anisotropy 2021 ·Geophysics ·(unknown), Jianguo Zhao, (unknown), Shangxu Wang	2
9	Frequency-domain reflection waveform inversion with generalized internal multiple imaging 2021 ·Geophysics ·Guanchao Wang, (unknown), Tariq Alkhalifah, Shangxu Wang	5
10	Deep Learning for Regularly Missing Data Reconstruction 2020 ·IEEE Transactions on Geoscience and Remote Sensing ·Xintao Chai, Genyang Tang, Shangxu Wang, Ronghua Peng, Wei Chen, Jingnan Li	56
11	Frequency-domain least-squares generalized internal multiple imaging with the energy norm 2020 ·Geophysics ·Guanchao Wang, (unknown), Tariq Alkhalifah, Shangxu Wang	3
12	Frequency-dependent spherical-wave reflection coefficient inversion in acoustic media: Theory to practice 2020 ·Geophysics ·(unknown), Shangxu Wang, Yongzhen Ji, Xingguo Huang, Nuno V. da Silva	5
13	Goal-Oriented Inversion-Based NMO Correction Using a Convex $l_{2,1}$ -Norm 2019 ·IEEE Geoscience and Remote Sensing Letters ·Sanyi Yuan, (unknown), (unknown), Peidong Shi, Shangxu Wang	9
14	Compensating elastic transmission losses for P‐wave attenuation estimation from sonic logs 2019 ·Geophysical Prospecting ·(unknown), Tobias M. Müller, (unknown), Shangxu Wang	1
15	Sparse Bayesian Learning-Based Seismic High-Resolution Time-Frequency Analysis 2018 ·IEEE Geoscience and Remote Sensing Letters ·Sanyi Yuan, Yongzhen Ji, Peidong Shi, (unknown), Jianhu Gao, Shangxu Wang	45
16	Impedance inversion by using the low-frequency full-waveform inversion result as an a priori model 2018 ·Geophysics ·Sanyi Yuan, Shangxu Wang, (unknown), (unknown), Guanchao Wang	78
17	Seismic Waveform Classification and First-Break Picking Using Convolution Neural Networks breakdown → 2018 ·IEEE Geoscience and Remote Sensing Letters ·Sanyi Yuan, Jiwei Liu, Shangxu Wang, Tieyi Wang, Peidong Shi	250
18	Simultaneous multitrace impedance inversion with transform-domain sparsity promotion 2015 ·Geophysics ·Sanyi Yuan, Shangxu Wang, (unknown), Yanxiao He	145
19	Sparse reflectivity inversion for nonstationary seismic data 2014 ·Geophysics ·Xintao Chai, Shangxu Wang, Sanyi Yuan, Jianguo Zhao, (unknown), Xian Wei	78
20	The analysis of seismic data structure and oil and gas prediction 2004 ·Applied Geophysics ·Shangxu Wang, (unknown)	8

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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