Ronghua Peng

816 total citations
53 papers, 621 citations indexed

About

Ronghua Peng is a scholar working on Geophysics, Ocean Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ronghua Peng has authored 53 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Geophysics, 24 papers in Ocean Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ronghua Peng's work include Geophysical and Geoelectrical Methods (28 papers), Geophysical Methods and Applications (21 papers) and Seismic Imaging and Inversion Techniques (13 papers). Ronghua Peng is often cited by papers focused on Geophysical and Geoelectrical Methods (28 papers), Geophysical Methods and Applications (21 papers) and Seismic Imaging and Inversion Techniques (13 papers). Ronghua Peng collaborates with scholars based in China, Canada and Germany. Ronghua Peng's co-authors include Xiangyun Hu, Genyang Tang, Xintao Chai, Bhaskar D. Rao, Shangxu Wang, Bo Han, Kai Lin, Jianhui Li, Jianchao Cai and Guorong Xu and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of The Electrochemical Society and Journal of Power Sources.

In The Last Decade

Ronghua Peng

45 papers receiving 607 citations

Peers

Ronghua Peng

GEOPH

EEE

Craig J. Beasley United States

Hefeng Dong Norway

Chen Shi China

Caner Özdemir Türkiye

P.R. Atkins United Kingdom

Xin Wu China

Yibo Wang China

Jing Tian China

Zhiming Ren China

Craig J. Beasley United States

Ronghua Peng

571 ×1.6

GEOPH

339 ×1.4

143 ×1.2

EEE

103 ×1.2

33 ×0.4

Citations per year, relative to Ronghua Peng Ronghua Peng (= 1×) peers Craig J. Beasley

Countries citing papers authored by Ronghua Peng

Since Specialization

Citations

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

Fields of papers citing papers by Ronghua Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronghua Peng

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

Tang, Yunhao, et al.. (2025). A Deep Learning Approach for Transient Electromagnetic Data Denoising, Inversion and Uncertainty Analysis With Monte Carlo Dropout Technique. Geophysical Prospecting. 73(6).

Hu, Xiangyun, et al.. (2025). 3D inversion algorithm of magnetotelluric data based on the solution space dimensionality reduction technique. Geophysics. 90(3). E91–E104.

Peng, Ronghua, et al.. (2024). 2-D probabilistic inversion of MT data and uncertainty quantification using the Hamiltonian Monte Carlo method. Geophysical Journal International. 237(3). 1826–1841. 2 indexed citations

Peng, Ronghua, et al.. (2024). Fast forward modeling of magnetotelluric data in complex continuous media using an extended Fourier DeepONet architecture. Geophysics. 90(2). F11–F25. 1 indexed citations

Peng, Ronghua, et al.. (2023). 3D inversion of multifrequency controlled-source electromagnetic data and its application to geothermal exploration in the Tianzhen region of the northern Datong Basin, China. Geophysics. 88(6). E173–E187. 6 indexed citations

Peng, Ronghua, et al.. (2023). Identification of Underground Artificial Cavities Based on the Bayesian Convolutional Neural Network. Sensors. 23(19). 8169–8169.

Hu, Xiangyun, et al.. (2023). Deep Temperature-Field Prediction Utilizing the Temperature–Pressure-Coupled Resistivity Model: A Case Study in the Xiong’an New Area, China. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 3 indexed citations

Peng, Ronghua, et al.. (2023). Quasi-2-D Bayesian inversion of central loop transient electromagnetic data using an adaptive Voronoi parametrization. Geophysical Journal International. 234(1). 650–663. 7 indexed citations

Peng, Ronghua, et al.. (2022). A Julia software package for transdimensional Bayesian inversion of electromagnetic data over horizontally stratified media. Geophysics. 87(5). F55–F66. 7 indexed citations

10.

Peng, Ronghua, et al.. (2022). 3-D Joint Inversion of MT and CSEM Data for Imaging a High-Temperature Geothermal System in Yanggao Region, Shanxi Province, China. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 22 indexed citations

11.

Peng, Ronghua, et al.. (2021). EM3DANI: A Julia package for fully anisotropic 3D forward modeling of electromagnetic data. Geophysics. 86(5). F49–F60. 14 indexed citations

12.

Chai, Xintao, Genyang Tang, Kai Lin, et al.. (2021). Deep learning for multitrace sparse-spike deconvolution. Geophysics. 86(3). V207–V218. 25 indexed citations

13.

Peng, Ronghua, Bo Han, Xiangyun Hu, Jianhui Li, & Yajun Liu. (2021). Transdimensional Bayesian inversion of magnetotelluric data in anisotropic layered media with galvanic distortion correction. Geophysical Journal International. 228(3). 1494–1511. 9 indexed citations

14.

Chai, Xintao, Genyang Tang, Shangxu Wang, et al.. (2020). Deep Learning for Regularly Missing Data Reconstruction. IEEE Transactions on Geoscience and Remote Sensing. 58(6). 4406–4423. 56 indexed citations

15.

Peng, Ronghua, et al.. (2020). Transdimensional Markov Chain Monte Carlo joint inversion of direct current resistivity and transient electromagnetic data. Geophysical Journal International. 224(2). 1429–1442. 13 indexed citations

16.

Liu, Yi, et al.. (2019). Geopolymer-TiO2 Nanocomposites for Photocsatalysis: Synthesis by One-Step Adding Treatment Versus Two-Step Acidification Calcination. Minerals. 9(11). 658–658. 11 indexed citations

17.

Peng, Ronghua, et al.. (2018). 3-D Marine Controlled-Source Electromagnetic Modeling in Electrically Anisotropic Formations Using Scattered Scalar–Vector Potentials. IEEE Geoscience and Remote Sensing Letters. 15(10). 1500–1504. 13 indexed citations

18.

Tang, Anping, et al.. (2014). Electrochemical performance of LiMnBO3/C composite synthesized by a combination of impregnation and precipitation followed by annealing. Journal of Power Sources. 275. 888–892. 19 indexed citations

19.

Hu, Xiangyun, et al.. (2013). Mineral Exploration using CSAMT data: Application to Longmen region metallogenic belt, Guangdong Province, China. Geophysics. 78(3). B111–B119. 56 indexed citations

20.

Rao, Bhaskar D. & Ronghua Peng. (1990). Tracking analysis of an ARMA parameter estimation algorithm. IEEE Transactions on Automatic Control. 35(2). 247–250. 1 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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