Jun Yao
Impact in
- Surfaces, Coatings and Films top 2%
- Surface Modification and Superhydrophobicity
- Ocean Engineering top 5%
- Enhanced Oil Recovery Techniques
Papers in
-
- Enhanced Oil Recovery Techniques 15
- Reservoir Engineering and Simulation Methods 7
- Drilling and Well Engineering 4
-
- Hydraulic Fracturing and Reservoir Analysis 17
- Aluminum Alloys Composites Properties 5
- Co-authors
- Manoj K. Chaudhury (1 shared paper)Lufeng Che (1 shared paper)Zuankai Wang (1 shared paper)Glen McHale (1 shared paper)Xiaofeng Zhou (1 shared paper)Jiaqian Li (1 shared paper)Yongfei Yang (20 shared papers)Lei Zhang (3 shared papers)
- Journals
- SPE Journal (14 papers)Physics of Fluids (3 papers)Energy & Fuels (2 papers)Materials Letters (1 paper)Optics & Laser Technology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Yao
42 papers receiving 613 citations
Peers
Comparison fields: 5 of 76
- Surfaces, Coatings and Films 236
- Ocean Engineering 127
- Mechanics of Materials 148
- Computational Mechanics 119
- Mechanical Engineering 204
Countries citing papers authored by Jun Yao
This map shows the geographic impact of Jun Yao'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 Jun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao more than expected).
Fields of papers citing papers by Jun Yao
This network shows the impact of papers produced by Jun Yao. 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 Jun Yao. The network helps show where Jun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yao, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 300 | |
| 2 | 2011 | 34 | |
| 3 | 2020 | 33 | |
| 4 | 2024 | 25 | |
| 5 | 2015 | 20 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 15 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2005 | 6 | |
| 20 | 2025 | 6 |
About Jun Yao
Jun Yao is a scholar working on Ocean Engineering, Mechanical Engineering, Mechanics of Materials, Environmental Engineering and Aerospace Engineering, having authored 51 papers that have together received 621 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (17 papers), Enhanced Oil Recovery Techniques (15 papers), Hydrocarbon exploration and reservoir analysis (12 papers), CO2 Sequestration and Geologic Interactions (9 papers), Reservoir Engineering and Simulation Methods (7 papers), Aluminum Alloys Composites Properties (5 papers), Aluminum Alloy Microstructure Properties (5 papers) and Drilling and Well Engineering (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (236 citations), Ocean Engineering (127 citations), Mechanics of Materials (148 citations), Computational Mechanics (119 citations) and Mechanical Engineering (204 citations). Jun Yao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Manoj K. Chaudhury, Lufeng Che, Zuankai Wang, Glen McHale, Xiaofeng Zhou, Jiaqian Li, Yongfei Yang, Lei Zhang, Hao Qiu and Mi Wang. Their work appears in journals such as SPE Journal, Physics of Fluids, Energy & Fuels, Materials Letters and Optics & Laser 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.