Liang Ge
- Computational Mechanics top 1%
- Fluid Dynamics and Turbulent Flows 10
- Lattice Boltzmann Simulation Studies 5
- Fluid Dynamics and Vibration Analysis 5
- Aerospace Engineering top 5%
- Ecology top 10%
- Hydrology and Sediment Transport Processes 3
- Soil Science top 10%
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- Particle Dynamics in Fluid Flows 3
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- Hydraulic flow and structures 3
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- Nanoplatforms for cancer theranostics 3
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- MXene and MAX Phase Materials 2
- Co-authors
- Fotis SotiropoulosIman BorazjaniAjit P. YoganathanHwa Liang LeoA‐Man ZhangShi‐Ping WangTrung Bao LeS. Casey Jones
- Journals
- Journal of Computational Physics (3 papers)Chemical Engineering Journal (1 paper)Powder Technology (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Liang Ge
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computational Mechanics 726
- Cardiology and Cardiovascular Medicine 292
- Aerospace Engineering 232
- Ecology 174
- Soil Science 62
Countries citing papers authored by Liang Ge
This map shows the geographic impact of Liang Ge'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 Liang Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Ge more than expected).
Fields of papers citing papers by Liang Ge
This network shows the impact of papers produced by Liang Ge. 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 Liang Ge. The network helps show where Liang Ge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Ge, 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 | 2022 | 27 | |
| 2 | 2022 | 26 | |
| 3 | 2020 | 4 | |
| 4 | 2020 | 8 | |
| 5 | 2019 | 10 | |
| 6 | 2019 | 11 | |
| 7 | 2016 | 1 | |
| 8 | Chaos-based encryption and message authentication algorithm for wireless sensor network | 2013 | 2 |
| 9 | 2013 | 55 | |
| 10 | 2012 | 14 | |
| 11 | 2009 | 47 | |
| 12 | Curvilinear immersed boundary method for simulating fluid structure interaction with complex 3D rigid bodiesbreakdown → | 2008 | 373 |
| 13 | 2007 | 330 | |
| 14 | 2005 | 48 | |
| 15 | 2005 | 45 | |
| 16 | 2005 | 88 | |
| 17 | Laboratory and 3D Numerical Modeling with Field Monitoring of Regional Bridge Scour in Georgia | 2004 | 9 |
| 18 | 2004 | 29 | |
| 19 | 2003 | 1 | |
| 20 | 2003 | 65 |
About Liang Ge
Liang Ge is a scholar working on Computational Mechanics, Ocean Engineering and Civil and Structural Engineering, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (10 papers), Lattice Boltzmann Simulation Studies (5 papers), Fluid Dynamics and Vibration Analysis (5 papers), Particle Dynamics in Fluid Flows (3 papers), Hydrology and Sediment Transport Processes (3 papers), Hydraulic flow and structures (3 papers), Nanoplatforms for cancer theranostics (3 papers) and MXene and MAX Phase Materials (2 papers). The work is most often cited by research in Computational Mechanics (726 citations), Cardiology and Cardiovascular Medicine (292 citations) and Aerospace Engineering (232 citations). Liang Ge has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Fotis Sotiropoulos, Iman Borazjani, Ajit P. Yoganathan, Hwa Liang Leo, A‐Man Zhang, Shi‐Ping Wang, Trung Bao Le, S. Casey Jones, Timothy M. Healy and Terry W. Sturm. Their work appears in journals such as Journal of Computational Physics, Chemical Engineering Journal and Powder Technology.
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.