Chao Song
- Geophysics top 2%
- Seismic Imaging and Inversion Techniques 47
- Seismic Waves and Analysis 40
- Ocean Engineering top 2%
- Geophysical Methods and Applications 10
- Reservoir Engineering and Simulation Methods 4
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- Model Reduction and Neural Networks 10
- Artificial Intelligence top 5%
- Seismology and Earthquake Studies 13
- Mechanics of Materials top 10%
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- Hydraulic Fracturing and Reservoir Analysis 9
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- Electromagnetic Compatibility and Noise Suppression 4
- Co-authors
- Tariq AlkhalifahUmair bin WaheedLi ZhaiXinyu ZhangLiwen LinQi HaoYanghua WangCai Liu
- Journals
- SHILAP Revista de lepidopterología (2 papers)Chemical Communications (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaSaudi ArabiaUnited Kingdom
In The Last Decade
Chao Song
72 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Geophysics 656
- Ocean Engineering 300
- Statistical and Nonlinear Physics 222
- Artificial Intelligence 280
- Mechanics of Materials 129
Countries citing papers authored by Chao Song
This map shows the geographic impact of Chao 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 Chao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Song more than expected).
Fields of papers citing papers by Chao Song
This network shows the impact of papers produced by Chao 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 Chao Song. The network helps show where Chao Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 21 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 29 | |
| 19 | 2020 | 22 | |
| 20 | 2019 | 21 |
About Chao Song
Chao Song is a scholar working on Geophysics, Ocean Engineering and Statistical and Nonlinear Physics, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (47 papers), Seismic Waves and Analysis (40 papers), Seismology and Earthquake Studies (13 papers), Model Reduction and Neural Networks (10 papers), Geophysical Methods and Applications (10 papers), Hydraulic Fracturing and Reservoir Analysis (9 papers), Electromagnetic Compatibility and Noise Suppression (4 papers) and Reservoir Engineering and Simulation Methods (4 papers). The work is most often cited by research in Geophysics (656 citations), Ocean Engineering (300 citations) and Statistical and Nonlinear Physics (222 citations). Chao Song has collaborated with scholars based in China, Saudi Arabia and United Kingdom. Frequent co-authors include Tariq Alkhalifah, Umair bin Waheed, Li Zhai, Xinyu Zhang, Liwen Lin, Qi Hao, Yanghua Wang, Cai Liu, Ehsan Haghighat and Qi Lu. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Communications and Biochemical and Biophysical Research Communications.
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.