Yao Yang
- Computational Mechanics top 0.5%
- Granular flow and fluidized beds 47
- Cyclone Separators and Fluid Dynamics 24
- Combustion and flame dynamics 14
- Biomedical Engineering top 1%
- Thermochemical Biomass Conversion Processes 29
- Fluid Dynamics and Mixing 27
- Mechanical Engineering top 1%
- Mineral Processing and Grinding 22
- Heat Transfer and Optimization 14
-
- Particle Dynamics in Fluid Flows 19
- Co-authors
- J. SwithenbankVida N. SharifiV. NasserzadehYiqiang JiangYongrong YangZhengliang HuangJingyuan SunChangkook Ryu
- Journals
- Industrial & Engineering Chemistry Research (26 papers)AIChE Journal (21 papers)Chemical Engineering Journal (12 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yao Yang
187 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 117
- Computational Mechanics 1.6k
- Safety, Risk, Reliability and Quality 500
- Biomedical Engineering 2.2k
- Renewable Energy, Sustainability and the Environment 663
- Mechanical Engineering 1.3k
Countries citing papers authored by Yao Yang
This map shows the geographic impact of Yao Yang'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 Yao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Yang more than expected).
Fields of papers citing papers by Yao Yang
This network shows the impact of papers produced by Yao Yang. 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 Yao Yang. The network helps show where Yao Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yao Yang, 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 | 7 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 14 | |
| 18 | 2019 | 11 | |
| 19 | 2018 | 12 | |
| 20 | 2018 | 3 |
About Yao Yang
Yao Yang is a scholar working on Computational Mechanics, Mechanical Engineering, Biomedical Engineering, Ocean Engineering and Fluid Flow and Transfer Processes, having authored 204 papers that have together received 4.4k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (47 papers), Thermochemical Biomass Conversion Processes (29 papers), Fluid Dynamics and Mixing (27 papers), Cyclone Separators and Fluid Dynamics (24 papers), Mineral Processing and Grinding (22 papers), Particle Dynamics in Fluid Flows (19 papers), Combustion and flame dynamics (14 papers) and Heat Transfer and Optimization (14 papers). The work is most often cited by research in Computational Mechanics (1.6k citations), Safety, Risk, Reliability and Quality (500 citations), Biomedical Engineering (2.2k citations), Renewable Energy, Sustainability and the Environment (663 citations) and Mechanical Engineering (1.3k citations). Yao Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include J. Swithenbank, Vida N. Sharifi, V. Nasserzadeh, Yiqiang Jiang, Yongrong Yang, Zhengliang Huang, Jingyuan Sun, Changkook Ryu, Bin Zou and Long Ni. Their work appears in journals such as Industrial & Engineering Chemistry Research, AIChE Journal, Chemical Engineering Journal, Powder Technology 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.