Zhining Liu
Impact in
- Geophysics top 10%
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Ocean Engineering top 5%
- Drilling and Well Engineering
- Reservoir Engineering and Simulation Methods
Papers in
- Geophysics 18
- Seismic Imaging and Inversion Techniques 18
- Seismic Waves and Analysis 4
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- Advanced Graph Neural Networks 5
- Co-authors
- Guangmin Hu (25 shared papers)Yaojun Wang (7 shared papers)Xingming Li (3 shared papers)Dawei Zhou (2 shared papers)Jingrui He (2 shared papers)Jinjie Gu (5 shared papers)Zhiyong Li (4 shared papers)Chenyi Zhuang (6 shared papers)
- Journals
- Geophysics (2 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Neurocomputing (1 paper)PLoS ONE (1 paper)Computers & Geosciences (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Zhining Liu
34 papers receiving 282 citations
Peers
Comparison fields: 5 of 56
- Geophysics 174
- Ocean Engineering 108
- Computational Mathematics 3
- Artificial Intelligence 101
- Geochemistry and Petrology 15
Countries citing papers authored by Zhining Liu
This map shows the geographic impact of Zhining Liu'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 Zhining Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhining Liu more than expected).
Fields of papers citing papers by Zhining Liu
This network shows the impact of papers produced by Zhining Liu. 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 Zhining Liu. The network helps show where Zhining Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhining Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 42 | |
| 2 | 2018 | 35 | |
| 3 | 2019 | 18 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 17 | |
| 6 | 2015 | 11 | |
| 7 | 2020 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2019 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2020 | 5 |
About Zhining Liu
Zhining Liu is a scholar working on Geophysics, Artificial Intelligence, Ocean Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 37 papers that have together received 287 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (18 papers), Reservoir Engineering and Simulation Methods (6 papers), Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (5 papers), Geological Modeling and Analysis (4 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Seismic Waves and Analysis (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Geophysics (174 citations), Ocean Engineering (108 citations), Computational Mathematics (3 citations), Artificial Intelligence (101 citations) and Geochemistry and Petrology (15 citations). Zhining Liu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Guangmin Hu, Yaojun Wang, Xingming Li, Dawei Zhou, Jingrui He, Jinjie Gu, Zhiyong Li, Chenyi Zhuang, Wei Liu and Yada Zhu. Their work appears in journals such as Geophysics, IEEE Transactions on Intelligent Transportation Systems, Neurocomputing, PLoS ONE and Computers & 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.