Da Qu
Impact in
- Mechanical Engineering top 5%
- Advanced machining processes and optimization
- Injection Molding Process and Properties
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- Manufacturing Process and Optimization
Papers in
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- Advanced machining processes and optimization 30
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- Advanced Machining and Optimization Techniques 17
- Co-authors
- Huajun Cao (13 shared papers)Bo Wu (5 shared papers)Yang Song (8 shared papers)Lei Liu (5 shared papers)Wei Zheng (4 shared papers)Yuan Gao (2 shared papers)Bo Wang (7 shared papers)Peng Zhang (6 shared papers)
In The Last Decade
Da Qu
46 papers receiving 507 citations
Peers
Comparison fields: 5 of 51
- Mechanical Engineering 393
- Industrial and Manufacturing Engineering 82
- Biomedical Engineering 217
- Electrical and Electronic Engineering 210
- Automotive Engineering 41
Countries citing papers authored by Da Qu
This map shows the geographic impact of Da 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 Da Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Qu more than expected).
Fields of papers citing papers by Da Qu
This network shows the impact of papers produced by Da 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 Da Qu. The network helps show where Da Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2022 | 48 | |
| 3 | 2021 | 34 | |
| 4 | 2021 | 26 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2018 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2018 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2023 | 16 | |
| 16 | 2017 | 14 | |
| 17 | 2015 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2024 | 8 |
About Da Qu
Da Qu is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 49 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (30 papers), Advanced Surface Polishing Techniques (18 papers), Advanced Machining and Optimization Techniques (17 papers), Advanced Combustion Engine Technologies (5 papers), Manufacturing Process and Optimization (4 papers), Industrial Technology and Control Systems (4 papers), Catalytic Processes in Materials Science (4 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Mechanical Engineering (393 citations), Industrial and Manufacturing Engineering (82 citations), Biomedical Engineering (217 citations), Electrical and Electronic Engineering (210 citations) and Automotive Engineering (41 citations). Da Qu has collaborated with scholars based in China, Austria and Belgium. Frequent co-authors include Huajun Cao, Bo Wu, Yang Song, Lei Liu, Wei Zheng, Yuan Gao, Bo Wang, Peng Zhang, X. R. Huang and Lei Liu. Their work appears in journals such as Journal of Manufacturing Processes, The International Journal of Advanced Manufacturing Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Materials and Composite Structures.
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.