Jin Sun
Impact in
- Computational Mechanics top 0.5%
- Granular flow and fluidized beds
- Lattice Boltzmann Simulation Studies
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- Rheology and Fluid Dynamics Studies
Papers in
-
- Granular flow and fluidized beds 37
- Fluid Dynamics Simulations and Interactions 4
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- Mineral Processing and Grinding 7
- Co-authors
- Sankaran Sundaresan (8 shared papers)Christopher Ness (6 shared papers)Sebastian Chialvo (1 shared paper)Sina Haeri (1 shared paper)Oana Ghita (1 shared paper)Jin Y. Ooi (8 shared papers)Francine Battaglia (6 shared papers)Itai Cohen (2 shared papers)
- Journals
- Powder Technology (7 papers)Computers and Geotechnics (3 papers)Journal of Fluid Mechanics (3 papers)Soft Matter (2 papers)Chemical Engineering Science (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Jin Sun
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 89
- Computational Mechanics 1.3k
- Fluid Flow and Transfer Processes 256
- Ocean Engineering 471
- Management, Monitoring, Policy and Law 360
- Automotive Engineering 256
Countries citing papers authored by Jin Sun
This map shows the geographic impact of Jin Sun'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 Jin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Sun more than expected).
Fields of papers citing papers by Jin Sun
This network shows the impact of papers produced by Jin Sun. 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 Jin Sun. The network helps show where Jin Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Sun, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 276 | |
| 2 | 2016 | 264 | |
| 3 | 2012 | 256 | |
| 4 | 2014 | 155 | |
| 5 | 2011 | 146 | |
| 6 | 2010 | 87 | |
| 7 | 2016 | 83 | |
| 8 | 2015 | 72 | |
| 9 | 2005 | 72 | |
| 10 | 2013 | 65 | |
| 11 | 2015 | 63 | |
| 12 | 2015 | 36 | |
| 13 | 2007 | 36 | |
| 14 | 2020 | 36 | |
| 15 | 2015 | 35 | |
| 16 | 2006 | 31 | |
| 17 | 2016 | 28 | |
| 18 | 2021 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2014 | 21 |
About Jin Sun
Jin Sun is a scholar working on Computational Mechanics, Mechanical Engineering, Management, Monitoring, Policy and Law, Materials Chemistry and Civil and Structural Engineering, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (37 papers), Landslides and related hazards (14 papers), Material Dynamics and Properties (11 papers), Particle Dynamics in Fluid Flows (9 papers), Mineral Processing and Grinding (7 papers), Rheology and Fluid Dynamics Studies (6 papers), Fluid Dynamics Simulations and Interactions (4 papers) and Soil and Unsaturated Flow (4 papers). The work is most often cited by research in Computational Mechanics (1.3k citations), Fluid Flow and Transfer Processes (256 citations), Ocean Engineering (471 citations), Management, Monitoring, Policy and Law (360 citations) and Automotive Engineering (256 citations). Jin Sun has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Sankaran Sundaresan, Christopher Ness, Sebastian Chialvo, Sina Haeri, Oana Ghita, Jin Y. Ooi, Francine Battaglia, Itai Cohen, Neil Y. C. Lin and Heng Xiao. Their work appears in journals such as Powder Technology, Computers and Geotechnics, Journal of Fluid Mechanics, Soft Matter and Chemical Engineering Science.
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.