Suihong Song
- Ocean Engineering top 2%
- Reservoir Engineering and Simulation Methods 4
- Mechanics of Materials top 5%
- Hydrocarbon exploration and reservoir analysis 8
- Geophysics top 10%
- Seismic Imaging and Inversion Techniques 5
- Geochemistry and Petrology top 10%
- Geology top 10%
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- Hydraulic Fracturing and Reservoir Analysis 6
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- Generative Adversarial Networks and Image Synthesis 3
- Image Processing and 3D Reconstruction 3
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- Model Reduction and Neural Networks 2
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- Geological formations and processes 2
- Journals
- Journal of Petroleum Science and Engineering (5 papers)Water Resources Research (2 papers)Journal of Hydrology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Suihong Song
19 papers receiving 603 citations
Peers
Comparison fields: 5 of 48
- Ocean Engineering 262
- Mechanics of Materials 353
- Geophysics 148
- Geochemistry and Petrology 61
- Geology 52
Countries citing papers authored by Suihong Song
This map shows the geographic impact of Suihong Song'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 Suihong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suihong Song more than expected).
Fields of papers citing papers by Suihong Song
This network shows the impact of papers produced by Suihong Song. 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 Suihong Song. The network helps show where Suihong Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suihong Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 17 | |
| 6 | 2022 | 31 | |
| 7 | 2021 | 64 | |
| 8 | 2021 | 66 | |
| 9 | 2021 | 30 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 105 | |
| 12 | 2019 | 89 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2018 | 92 | |
| 17 | 2018 | 4 | |
| 18 | 2017 | 12 | |
| 19 | Fossil Trapa L. of China. 1. A new locality from the Miocene of the Liang He Coal Mine, West Yunnan | 1999 | 11 |
About Suihong Song
Suihong Song is a scholar working on Earth-Surface Processes, Geophysics and Geochemistry and Petrology, having authored 19 papers that have together received 614 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (8 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Seismic Imaging and Inversion Techniques (5 papers), Reservoir Engineering and Simulation Methods (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Image Processing and 3D Reconstruction (3 papers), Model Reduction and Neural Networks (2 papers) and Geological formations and processes (2 papers). The work is most often cited by research in Ocean Engineering (262 citations), Mechanics of Materials (353 citations) and Geophysics (148 citations). Suihong Song has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiagen Hou, Tapan Mukerji, Xixin Wang, Luxing Dou, Yuming Liu, Dongmei Wang, Yongqiang Li, Shaohua Li, Dongxiao Zhang and Ke Ma. Their work appears in journals such as Journal of Petroleum Science and Engineering, Water Resources Research, Journal of Hydrology, Mathematical Geosciences and Computational Geosciences.
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.