Runhai Feng

839 total citations
34 papers, 656 citations indexed

About

Runhai Feng is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Runhai Feng has authored 34 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Geophysics, 18 papers in Ocean Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Runhai Feng's work include Seismic Imaging and Inversion Techniques (25 papers), Hydraulic Fracturing and Reservoir Analysis (17 papers) and Hydrocarbon exploration and reservoir analysis (13 papers). Runhai Feng is often cited by papers focused on Seismic Imaging and Inversion Techniques (25 papers), Hydraulic Fracturing and Reservoir Analysis (17 papers) and Hydrocarbon exploration and reservoir analysis (13 papers). Runhai Feng collaborates with scholars based in Denmark, Netherlands and United States. Runhai Feng's co-authors include Darío Graña, Niels Balling, Thomas Mejer Hansen, Stefan M. Lüthi, Jesper Dramsch, Klaus Mosegaard, Tapan Mukerji, Siddharth Sharma, A. Gisolf and S.M. Luthi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and Energy.

In The Last Decade

Runhai Feng

33 papers receiving 642 citations

Author Peers

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

Author Last Decade Papers Cites
Runhai Feng 384 363 291 223 135 34 656
Mauro Roisenberg 311 0.8× 293 0.8× 211 0.7× 96 0.4× 139 1.0× 53 580
Peter Hatherly 401 1.0× 449 1.2× 177 0.6× 272 1.2× 106 0.8× 79 745
Abdolrahim Javaherian 452 1.2× 308 0.8× 264 0.9× 215 1.0× 63 0.5× 82 657
Shaoqun Dong 280 0.7× 347 1.0× 524 1.8× 591 2.7× 124 0.9× 53 858
Huolin Ma 182 0.5× 246 0.7× 284 1.0× 371 1.7× 162 1.2× 24 575
Jie Qi 625 1.6× 370 1.0× 241 0.8× 211 0.9× 133 1.0× 50 745
Behzad Tokhmechi 210 0.5× 587 1.6× 564 1.9× 435 2.0× 153 1.1× 76 989
Jar Ullah 154 0.4× 210 0.6× 231 0.8× 257 1.2× 88 0.7× 24 438
Vikram Jayaram 241 0.6× 247 0.7× 209 0.7× 110 0.5× 85 0.6× 31 439
Yuxiao Ren 661 1.7× 548 1.5× 144 0.5× 96 0.4× 125 0.9× 31 813

Countries citing papers authored by Runhai Feng

Since Specialization
Citations

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

Fields of papers citing papers by Runhai Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runhai Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Runhai Feng. A scholar is included among the top collaborators of Runhai Feng 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 Runhai Feng. Runhai Feng 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.
Feng, Runhai, Klaus Mosegaard, Tapan Mukerji, & Darío Graña. (2024). Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods. Mathematical Geosciences. 56(6). 1161–1184. 4 indexed citations
2.
Feng, Runhai, et al.. (2024). Stochastic inversion of fracture networks using the reversible jump Markov chain Monte Carlo algorithm. Energy. 301. 131375–131375. 2 indexed citations
3.
Feng, Runhai. (2023). Physics-informed deep learning for rock physical inversion and its uncertainty analysis. Geoenergy Science and Engineering. 230. 212229–212229. 6 indexed citations
4.
Mosegaard, Klaus, et al.. (2023). Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data. Interpretation. 11(2). T339–T347. 1 indexed citations
5.
Feng, Runhai, Klaus Mosegaard, Darío Graña, Tapan Mukerji, & Thomas Mejer Hansen. (2023). Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image. Mathematical Geosciences. 56(4). 665–690. 7 indexed citations
6.
Feng, Runhai, Darío Graña, Tapan Mukerji, & Klaus Mosegaard. (2022). Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling. Mathematical Geosciences. 54(5). 831–855. 22 indexed citations
7.
Feng, Runhai, Niels Balling, Darío Graña, Jesper Dramsch, & Thomas Mejer Hansen. (2021). Bayesian Convolutional Neural Networks for Seismic Facies Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(10). 8933–8940. 66 indexed citations
8.
Feng, Runhai, Darío Graña, & Niels Balling. (2021). Uncertainty quantification in fault detection using convolutional neural networks. Geophysics. 86(3). M41–M48. 48 indexed citations
9.
Feng, Runhai, Darío Graña, & Niels Balling. (2021). Variational inference in Bayesian neural network for well-log prediction. Geophysics. 86(3). M91–M99. 26 indexed citations
10.
Feng, Runhai, Thomas Mejer Hansen, Darío Graña, & Niels Balling. (2020). An unsupervised deep-learning method for porosity estimation based on poststack seismic data. Geophysics. 85(6). M97–M105. 75 indexed citations
11.
Feng, Runhai. (2020). Unsupervised learning elastic rock properties from pre-stack seismic data. Journal of Petroleum Science and Engineering. 192. 107237–107237. 13 indexed citations
12.
Feng, Runhai. (2020). Lithofacies classification based on a hybrid system of artificial neural networks and hidden Markov models. Geophysical Journal International. 221(3). 1484–1498. 20 indexed citations
13.
Feng, Runhai, et al.. (2018). Reservoir Lithology Determination by Hidden Markov Random Fields Based on a Gaussian Mixture Model. IEEE Transactions on Geoscience and Remote Sensing. 56(11). 6663–6673. 30 indexed citations
14.
Feng, Runhai, et al.. (2017). Reservoir Lithology Classification by the Hidden Markov Model. Proceedings. 1 indexed citations
15.
16.
Sharma, Siddharth, et al.. (2016). Strategies to include geological knowledge in full waveform inversion. 91–91. 1 indexed citations
17.
Feng, Runhai, et al.. (2015). A High-Resolution Geological and Petrophysical Model Based on the Book Cliffs (Utah, USA) and its Full Elastic Seismic Responses. EGUGA. 5244. 1 indexed citations
18.
19.
Feng, Runhai, Siddharth Sharma, S.M. Luthi, & A. Gisolf. (2015). An Outcrop-based Detailed Geological Model to Test Automated Interpretation of Seismic Inversion Results. Proceedings. 3 indexed citations
20.
Feng, Runhai. (1985). CRUSTAL THICKNESS AND DENSITIES IN THE UPPER MANTLE BENEATH CHINA——THE RESULTS OF THREE DIMENSIONAL GRAVITY INVERSION. Acta Seismologica Sinica. 25 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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