Jun Yao
Impact in
- Surfaces, Coatings and Films top 2%
- Surface Modification and Superhydrophobicity
- Ocean Engineering top 5%
- Enhanced Oil Recovery Techniques
Papers in
-
- Hydraulic Fracturing and Reservoir Analysis 16
- Aluminum Alloys Composites Properties 5
-
- Enhanced Oil Recovery Techniques 13
- Reservoir Engineering and Simulation Methods 7
- Co-authors
- Manoj K. Chaudhury (1 shared paper)Lufeng Che (1 shared paper)Zuankai Wang (1 shared paper)Xiaofeng Zhou (1 shared paper)Jing Li (1 shared paper)Glen McHale (1 shared paper)Jiaqian Li (1 shared paper)Hao Qiu (2 shared papers)
- Journals
- SPE Journal (14 papers)Physics of Fluids (2 papers)Energy & Fuels (2 papers)Brain Communications (1 paper)Journal of Hydrology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Yao
40 papers receiving 562 citations
Peers
Comparison fields: 5 of 75
- Surfaces, Coatings and Films 237
- Ocean Engineering 103
- Computational Mechanics 119
- Mechanics of Materials 138
- Mechanical Engineering 196
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 296 | |
| 2 | 2011 | 34 | |
| 3 | 2020 | 32 | |
| 4 | 2024 | 21 | |
| 5 | 2015 | 19 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2024 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2017 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2005 | 5 | |
| 20 | 2024 | 4 |
About Jun Yao
Jun Yao is a scholar working on Mechanical Engineering, Ocean Engineering, Mechanics of Materials, Environmental Engineering and Aerospace Engineering, having authored 46 papers that have together received 570 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (16 papers), Enhanced Oil Recovery Techniques (13 papers), Hydrocarbon exploration and reservoir analysis (10 papers), CO2 Sequestration and Geologic Interactions (9 papers), Reservoir Engineering and Simulation Methods (7 papers), Aluminum Alloy Microstructure Properties (5 papers), Aluminum Alloys Composites Properties (5 papers) and Hearing Loss and Rehabilitation (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (237 citations), Ocean Engineering (103 citations), Computational Mechanics (119 citations), Mechanics of Materials (138 citations) and Mechanical Engineering (196 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, Xiaofeng Zhou, Jing Li, Glen McHale, Jiaqian Li, Hao Qiu, Lei Zhang and Mi Wang. Their work appears in journals such as SPE Journal, Physics of Fluids, Energy & Fuels, Brain Communications and Journal of Hydrology.
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.