Benfeng Wang

2.1k total citations · 1 hit paper
88 papers, 1.7k citations indexed

About

Benfeng Wang is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Benfeng Wang has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Geophysics, 34 papers in Ocean Engineering and 24 papers in Mechanical Engineering. Recurrent topics in Benfeng Wang's work include Seismic Imaging and Inversion Techniques (77 papers), Seismic Waves and Analysis (31 papers) and Hydraulic Fracturing and Reservoir Analysis (22 papers). Benfeng Wang is often cited by papers focused on Seismic Imaging and Inversion Techniques (77 papers), Seismic Waves and Analysis (31 papers) and Hydraulic Fracturing and Reservoir Analysis (22 papers). Benfeng Wang collaborates with scholars based in China, United States and Norway. Benfeng Wang's co-authors include Wenkai Lu, Xiaohong Chen, Ning Zhang, J. P. Wang, Jianhua Geng, Jingye Li, Ru‐Shan Wu, Yingying Wang, Pu Wang and Jingye Li and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Benfeng Wang

86 papers receiving 1.7k citations

Hit Papers

Deep-learning-based seism... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Benfeng Wang 1.2k 607 588 332 224 88 1.7k
Xiaokai Wang 536 0.4× 203 0.3× 259 0.4× 174 0.5× 43 0.2× 101 871
Ying Da Wang 283 0.2× 522 0.9× 734 1.2× 221 0.7× 173 0.8× 46 1.5k
Sanyi Yuan 1.9k 1.6× 599 1.0× 1.1k 1.9× 246 0.7× 35 0.2× 137 2.2k
Sadegh Karimpouli 339 0.3× 457 0.8× 553 0.9× 137 0.4× 23 0.1× 37 1.2k
Jingye Li 827 0.7× 425 0.7× 501 0.9× 166 0.5× 35 0.2× 69 1.1k
Hui Qin 221 0.2× 107 0.2× 461 0.8× 108 0.3× 108 0.5× 83 1.1k
Serveh Kamrava 103 0.1× 204 0.3× 341 0.6× 109 0.3× 46 0.2× 21 797
Xingyao Yin 2.2k 1.8× 1.4k 2.3× 1.5k 2.6× 78 0.2× 37 0.2× 253 2.5k
José M. Roësset 874 0.7× 671 1.1× 607 1.0× 18 0.1× 265 1.2× 142 4.0k
Zhicheng Geng 471 0.4× 163 0.3× 343 0.6× 115 0.3× 22 0.1× 28 937

Countries citing papers authored by Benfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Benfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benfeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Benfeng Wang. A scholar is included among the top collaborators of Benfeng 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 Benfeng Wang. Benfeng Wang 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.
Chen, Junhao, et al.. (2025). Study on the evolution law of the temperature field during ground freezing reinforcement of high geothermal metro cross passages in the coastal area of Fuzhou. International Communications in Heat and Mass Transfer. 167. 109293–109293.
2.
Wang, Benfeng, Shu Lin, & Xinyi Chen. (2024). Self-supervised simultaneous deblending and interpolation of incomplete blended data using a multistep blind-trace U-Net. Petroleum Science. 22(3). 1098–1109. 1 indexed citations
3.
Wang, Benfeng, et al.. (2024). An autoregressive integrated moving average and long short-term memory (ARIM-LSTM) hybrid model for multi-source epidemic data prediction. PeerJ Computer Science. 10. e2046–e2046. 3 indexed citations
4.
Song, Jiawen, et al.. (2024). Interpolated Fast Damped Multichannel Singular Spectrum Analysis for Deblending of Off-the-Grid Blended Data. Surveys in Geophysics. 45(4). 1177–1204. 2 indexed citations
5.
Song, Jiawen, et al.. (2024). Deep learning-based off-the-grid seismic data reconstruction and regularization: Preliminary research. Geophysics. 90(1). V1–V12. 1 indexed citations
6.
Wang, Benfeng, et al.. (2024). Multichannel Closed-Loop Seismic Acoustic Impedance Estimation With Nonlinear Correction. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–9. 1 indexed citations
7.
Wang, Benfeng, et al.. (2023). Unsupervised seismic random noise attenuation by a recursive deep image prior. Geophysics. 88(6). V473–V485. 8 indexed citations
8.
Chen, Huaizhen, et al.. (2023). Semisupervised seismic impedance inversion with data augmentation and uncertainty analysis. Geophysics. 88(4). M213–M224. 11 indexed citations
9.
Chen, Xinyi & Benfeng Wang. (2023). Self-supervised Multistep Seismic Data Deblending. Surveys in Geophysics. 45(2). 383–407. 4 indexed citations
10.
Ma, Long, et al.. (2023). Research on the damage characteristics of rock masses based on double guide-hole blasting under high in-situ stress. Scientific Reports. 13(1). 19266–19266. 3 indexed citations
11.
Wang, Benfeng, et al.. (2022). Iterative deblending using MultiResUNet with multilevel blending noise for training and transfer learning. Geophysics. 87(3). V205–V214. 11 indexed citations
12.
Wang, Benfeng, et al.. (2022). High dimensional multistep deblending using supervised training and transfer learning. Geophysics. 88(1). WA149–WA159. 2 indexed citations
13.
Zhang, Liqi, Huazhong Wang, & Benfeng Wang. (2022). Vandermonde constrained CANDECOMP/PARAFAC tensor decomposition for high-dimensional seismic data reconstruction. Geophysics. 87(5). V533–V544. 3 indexed citations
14.
Wang, Pu, Xiaohong Chen, Xiangyang Li, et al.. (2021). Analysis and Estimation of an Inclusion-Based Effective Fluid Modulus for Tight Gas-Bearing Sandstone Reservoirs. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 19 indexed citations
15.
Wang, Yingying, Liping Niu, Luanxiao Zhao, et al.. (2021). Gaussian mixture model deep neural network and its application in porosity prediction of deep carbonate reservoir. Geophysics. 87(2). M59–M72. 20 indexed citations
16.
Xu, Pengcheng, Wenkai Lu, & Benfeng Wang. (2019). Automatic Source Localization and Attenuation of Seismic Interference Noise Using Density-Based Clustering Method. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4612–4623. 6 indexed citations
17.
Xu, Pengcheng, Wenkai Lu, & Benfeng Wang. (2019). A semi-supervised learning framework for gas chimney detection based on sparse autoencoder and TSVM. Journal of Geophysics and Engineering. 16(1). 52–61. 12 indexed citations
18.
Zhang, Hua, et al.. (2019). An anti-aliasing POCS interpolation method for regularly undersampled seismic data using curvelet transform. Journal of Applied Geophysics. 172. 103894–103894. 28 indexed citations
19.
Wang, Pu, Xiaohong Chen, Jingye Li, & Benfeng Wang. (2019). Accurate porosity prediction for tight sandstone reservoir: A case study from North China. Geophysics. 85(2). B35–B47. 36 indexed citations
20.
Wang, Yingying, et al.. (2019). Seismic trace interpolation for irregularly spatial sampled data using convolutional autoencoder. Geophysics. 85(2). V119–V130. 98 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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