D. Ao
Impact in
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- Thermodynamic properties of mixtures
Papers in
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- Phase Equilibria and Thermodynamics 4
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- Thermodynamic properties of mixtures 3
- Co-authors
- Ying Zhang (4 shared papers)Haiying Fu (1 shared paper)Maogang He (1 shared paper)Langxiong Gan (1 shared paper)Maogang He (3 shared papers)Xiaoqin Li (1 shared paper)Dejian Li (1 shared paper)Taotao Zhan (3 shared papers)
- Journals
- Fluid Phase Equilibria (2 papers)Analytical Methods (1 paper)Ocean & Coastal Management (1 paper)Journal of Chemical & Engineering Data (1 paper)The Journal of Chemical Thermodynamics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
D. Ao
9 papers receiving 24 citations
Peers
Comparison fields: 5 of 23
- Fluid Flow and Transfer Processes 5
- Safety, Risk, Reliability and Quality 4
- Statistics, Probability and Uncertainty 2
- Management, Monitoring, Policy and Law 3
- Nuclear and High Energy Physics 3
Countries citing papers authored by D. Ao
This map shows the geographic impact of D. Ao'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 D. Ao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Ao more than expected).
Fields of papers citing papers by D. Ao
This network shows the impact of papers produced by D. Ao. 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 D. Ao. The network helps show where D. Ao may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Ao, 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 | 5 | |
| 2 | 2024 | 4 | |
| 3 | 2020 | 4 | |
| 4 | 2025 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2018 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2025 | 0 |
About D. Ao
D. Ao is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics, Mechanical Engineering and Organic Chemistry, having authored 12 papers that have together received 25 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (4 papers), Thermodynamic properties of mixtures (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Acute Myeloid Leukemia Research (1 paper), Blood properties and coagulation (1 paper), Marine and Coastal Research (1 paper), Diffusion Coefficients in Liquids (1 paper) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (5 citations), Safety, Risk, Reliability and Quality (4 citations), Statistics, Probability and Uncertainty (2 citations), Management, Monitoring, Policy and Law (3 citations) and Nuclear and High Energy Physics (3 citations). D. Ao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ying Zhang, Haiying Fu, Maogang He, Langxiong Gan, Maogang He, Xiaoqin Li, Dejian Li, Taotao Zhan, Yaqing Shu and Chengyong Liu. Their work appears in journals such as Fluid Phase Equilibria, Analytical Methods, Ocean & Coastal Management, Journal of Chemical & Engineering Data and The Journal of Chemical Thermodynamics.
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.