Ye Chen
Impact in
- Computational Mechanics top 10%
- Granular flow and fluidized beds
- 3D Shape Modeling and Analysis
- Combustion and flame dynamics
- Heat transfer and supercritical fluids
Papers in
-
- 3D Shape Modeling and Analysis 6
- Heat and Mass Transfer in Porous Media 4
- Granular flow and fluidized beds 3
- Combustion and flame dynamics 3
- Co-authors
- Haiyan Xu (2 shared papers)Keith W. Hipel (2 shared papers)Quanhai Wang (4 shared papers)Xiaofeng Lu (4 shared papers)D. Marc Kilgour (1 shared paper)Guohua Tian (1 shared paper)Xinling Wang (1 shared paper)Yanjun Cui (1 shared paper)
- Journals
- International Journal of Heat and Fluid Flow (3 papers)Fuel (2 papers)Petroleum Science (1 paper)Energies (1 paper)Theory and Decision (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ye Chen
32 papers receiving 338 citations
Peers
Comparison fields: 5 of 83
- Computational Mechanics 119
- Geology 24
- Polymers and Plastics 47
- Management Science and Operations Research 41
- Mechanical Engineering 112
Countries citing papers authored by Ye Chen
This map shows the geographic impact of Ye Chen'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 Ye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Chen more than expected).
Fields of papers citing papers by Ye Chen
This network shows the impact of papers produced by Ye Chen. 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 Ye Chen. The network helps show where Ye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Chen, 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 | 2003 | 44 | |
| 2 | 2009 | 40 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 27 | |
| 5 | 2018 | 23 | |
| 6 | 2015 | 21 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2004 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2012 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2010 | 4 | |
| 20 | 2024 | 4 |
About Ye Chen
Ye Chen is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering, Mechanical Engineering and Media Technology, having authored 37 papers that have together received 347 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Heat and Mass Transfer in Porous Media (4 papers), Computer Graphics and Visualization Techniques (4 papers), Remote Sensing and Land Use (3 papers), Thermochemical Biomass Conversion Processes (3 papers), Granular flow and fluidized beds (3 papers), Combustion and flame dynamics (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Computational Mechanics (119 citations), Geology (24 citations), Polymers and Plastics (47 citations), Management Science and Operations Research (41 citations) and Mechanical Engineering (112 citations). Ye Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haiyan Xu, Keith W. Hipel, Quanhai Wang, Xiaofeng Lu, D. Marc Kilgour, Guohua Tian, Xinling Wang, Yanjun Cui, Xiaozhen Tang and Wenqing Zhang. Their work appears in journals such as International Journal of Heat and Fluid Flow, Fuel, Petroleum Science, Energies and Theory and Decision.
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.