Dehua Wang

786 total citations · 2 hit papers
22 papers, 610 citations indexed

About

Dehua Wang is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Dehua Wang has authored 22 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Geophysics, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Dehua Wang's work include Seismic Imaging and Inversion Techniques (10 papers), Image and Signal Denoising Methods (6 papers) and Seismic Waves and Analysis (6 papers). Dehua Wang is often cited by papers focused on Seismic Imaging and Inversion Techniques (10 papers), Image and Signal Denoising Methods (6 papers) and Seismic Waves and Analysis (6 papers). Dehua Wang collaborates with scholars based in China, Spain and United States. Dehua Wang's co-authors include Yang Qian, Yuanbo Yu, Xiaojun Ma, Jinghuai Gao, Naihao Liu, Hao Wu, Jiale Wang, Zongben Xu, Fangyu Li and Anil Kumar and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Geoscience and Remote Sensing and Physical Chemistry Chemical Physics.

In The Last Decade

Dehua Wang

21 papers receiving 585 citations

Hit Papers

align trajectories

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.

Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning

2018 335 citations Xiaojun Ma, Dehua Wang et al. Electronic Commerce Research and Applications profile →
Seismic Data Reconstruction via Wavelet-Based Residual Deep Learning

2022 95 citations Naihao Liu, Jiale Wang et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Dehua Wang

GEOPH

ACCOU

CVPR

Haijun Yang China

Benjamin Epstein United States

Mohd Tahir Ismail Malaysia

Anoop Chaturvedi India

Heping Pan China

Achilleas Zapranis Greece

Antonis Alexandridis Greece

Haresh C. Shah United States

Zhongxing Wang China

J. Eric Bickel United States

Haijun Yang China

Dehua Wang

18 ×0.1

GEOPH

124 ×0.8

24 ×0.2

ACCOU

93 ×1.1

44 ×0.6

CVPR

Citations per year, relative to Dehua Wang Dehua Wang (= 1×) peers Haijun Yang

Countries citing papers authored by Dehua Wang

Since Specialization

Citations

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

Fields of papers citing papers by Dehua Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dehua Wang. A scholar is included among the top collaborators of Dehua 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 Dehua Wang. Dehua Wang 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

Ding, Xiaoli & Dehua Wang. (2024). Stability theory of stochastic evolution equations with multiplicative fractional Brownian motions in Hilbert spaces. Chaos Solitons & Fractals. 187. 115435–115435. 1 indexed citations

Liu, Naihao, Zhuo Wang, Jiale Wang, et al.. (2024). PD-VBS: Real Seismic Image Denoising With Pixel-Shuffle Down-Sampling and Visible Blind-Spots. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–10. 2 indexed citations

Wang, Dehua, et al.. (2023). Random Noise Attenuation of Seismic Data via Self-Supervised Bayesian Deep Learning. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 6 indexed citations

Wang, Dehua, et al.. (2023). Total Variation Regularized Self-Supervised Bayesian Deep Learning for Seismic Random Noise Attenuation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 2 indexed citations

Ding, Xiaoli & Dehua Wang. (2023). Regularity analysis for SEEs with multiplicative fBms and strong convergence for a fully discrete scheme. IMA Journal of Numerical Analysis. 44(3). 1435–1463. 3 indexed citations

Wang, Yanfei, et al.. (2022). Blind Inversion of Multichannel Nonstationary Seismic Data for Acoustic Impedance and Wavelet. Pure and Applied Geophysics. 179(6-7). 2147–2166. 2 indexed citations

Liu, Naihao, et al.. (2022). Seismic Data Reconstruction via Wavelet-Based Residual Deep Learning. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 95 indexed citations breakdown →

Wang, Dehua, et al.. (2021). An Improved TV-Type Variational Regularization Method for Seismic Impedance Inversion. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 4 indexed citations

Liu, Naihao, Fangyu Li, Dehua Wang, Jinghuai Gao, & Zongben Xu. (2021). Ground-Roll Separation and Attenuation Using Curvelet-Based Multichannel Variational Mode Decomposition. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 39 indexed citations

10.

Wang, Dehua, Xiaoli Ding, & Juan J. Nieto. (2021). Stability analysis of fractional-order systems with randomly time-varying parameters. Nonlinear Analysis Modelling and Control. 26(3). 440–460. 1 indexed citations

11.

Wang, Dehua, Jinghuai Gao, Naihao Liu, & Xiudi Jiang. (2020). Structure-Oriented DTGV Regularization for Random Noise Attenuation in Seismic Data. IEEE Transactions on Geoscience and Remote Sensing. 59(2). 1757–1771. 17 indexed citations

12.

Guo, Zhenzhen, Liyun Zhang, Dehua Wang, et al.. (2020). The durability of carbon nanotubes in the selective reduction of nitrobenzene. Physical Chemistry Chemical Physics. 22(12). 6524–6527. 7 indexed citations

13.

Wang, Dehua, Xiaoli Ding, & Bashir Ahmad. (2019). Existence and stability results for multi-time scale stochastic fractional neural networks. Advances in Difference Equations. 2019(1). 6 indexed citations

14.

Wang, Xin, Jingfa Zhang, Wenliang Jiang, & Dehua Wang. (2019). Gravity field and deep seismogenic environment in the Longmen Shan and adjacent regions, Eastern Tibetan Plateau. Journal of Asian Earth Sciences. 176. 79–87. 13 indexed citations

15.

Wang, Dehua, et al.. (2018). Analysis of aeromagnetic anomalies and deep structures of Jiangsu segment of Tan-Lu fault zone and its adjacent region. Progress in geophysics. 33(4). 1419–1429. 3 indexed citations

16.

Ma, Xiaojun, et al.. (2018). Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning. Electronic Commerce Research and Applications. 31. 24–39. 335 indexed citations breakdown →

17.

Wang, Dehua, et al.. (2017). Data-driven multichannel seismic impedance inversion with anisotropic total variation regularization. Journal of Inverse and Ill-Posed Problems. 26(2). 229–241. 14 indexed citations

18.

Wang, Dehua & Jinghuai Gao. (2015). An improved noise removal model based on nonlinear fourth-order partial differential equations. International Journal of Computer Mathematics. 93(6). 942–954. 8 indexed citations

19.

Wang, Dehua & Jinghuai Gao. (2014). A new method for random noise attenuation in seismic data based on anisotropic fractional-gradient operators. Journal of Applied Geophysics. 110. 135–143. 13 indexed citations

20.

Xu, Shutong, et al.. (2012). Tectonic setting of the low-grade metamorphic rocks of the Dabie Orogen, central eastern China. Journal of Structural Geology. 37. 134–149. 13 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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