Ming Qu
Impact in
- Ocean Engineering top 0.5%
- Enhanced Oil Recovery Techniques
- Drilling and Well Engineering
- Reservoir Engineering and Simulation Methods
- Analytical Chemistry top 2%
- Petroleum Processing and Analysis
Papers in
-
- Enhanced Oil Recovery Techniques 38
- Drilling and Well Engineering 8
- Wave and Wind Energy Systems 6
-
- Hydraulic Fracturing and Reservoir Analysis 20
- Co-authors
- Jirui Hou (33 shared papers)Tuo Liang (26 shared papers)I. Loyola Poul Raj (9 shared papers)Yuchen Wen (15 shared papers)Pengpeng Qi (5 shared papers)Erlong Yang (4 shared papers)Jiaxin Xi (2 shared papers)Zhichang Liu (1 shared paper)
- Journals
- Journal of Petroleum Science and Engineering (7 papers)Petroleum Science (5 papers)Energy (4 papers)RSC Advances (3 papers)Gels (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Qu
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Ocean Engineering 780
- Analytical Chemistry 270
- Mechanics of Materials 366
- Mechanical Engineering 345
- Materials Chemistry 281
Countries citing papers authored by Ming Qu
This map shows the geographic impact of Ming Qu'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 Ming Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Qu more than expected).
Fields of papers citing papers by Ming Qu
This network shows the impact of papers produced by Ming Qu. 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 Ming Qu. The network helps show where Ming Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Qu, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 116 | |
| 2 | 2019 | 110 | |
| 3 | 2021 | 100 | |
| 4 | 2019 | 76 | |
| 5 | 2022 | 70 | |
| 6 | 2021 | 47 | |
| 7 | 2022 | 46 | |
| 8 | 2020 | 46 | |
| 9 | 2019 | 41 | |
| 10 | 2018 | 36 | |
| 11 | 2022 | 33 | |
| 12 | 2020 | 28 | |
| 13 | 2020 | 23 | |
| 14 | 2022 | 23 | |
| 15 | 2020 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2022 | 22 | |
| 18 | 2022 | 21 | |
| 19 | 2020 | 16 | |
| 20 | 2023 | 15 |
About Ming Qu
Ming Qu is a scholar working on Ocean Engineering, Mechanical Engineering, Mechanics of Materials, Materials Chemistry and Analytical Chemistry, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (38 papers), Hydraulic Fracturing and Reservoir Analysis (20 papers), Hydrocarbon exploration and reservoir analysis (18 papers), Petroleum Processing and Analysis (14 papers), Pickering emulsions and particle stabilization (14 papers), Drilling and Well Engineering (8 papers), Wave and Wind Energy Systems (6 papers) and Coastal and Marine Dynamics (6 papers). The work is most often cited by research in Ocean Engineering (780 citations), Analytical Chemistry (270 citations), Mechanics of Materials (366 citations), Mechanical Engineering (345 citations) and Materials Chemistry (281 citations). Ming Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jirui Hou, Tuo Liang, I. Loyola Poul Raj, Yuchen Wen, Pengpeng Qi, Erlong Yang, Jiaxin Xi, Zhichang Liu, Xingquan Liu and Lizhi Xiao. Their work appears in journals such as Journal of Petroleum Science and Engineering, Petroleum Science, Energy, RSC Advances and Gels.
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.