Chan Qiu
Impact in
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- Manufacturing Process and Optimization
- Digital Transformation in Industry
Papers in
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- Manufacturing Process and Optimization 17
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- Advanced machining processes and optimization 7
- Advanced Measurement and Metrology Techniques 6
- Co-authors
- Zhenyu Liu (38 shared papers)Jianrong Tan (34 shared papers)Xiang Peng (13 shared papers)Jiquan Li (5 shared papers)Zhenyu Liu (2 shared papers)Qi Gao (1 shared paper)Shaofei Jiang (5 shared papers)Zheng Jiang (3 shared papers)
In The Last Decade
Chan Qiu
49 papers receiving 576 citations
Peers
Comparison fields: 5 of 82
- Industrial and Manufacturing Engineering 190
- Management of Technology and Innovation 62
- Statistics, Probability and Uncertainty 63
- Mechanical Engineering 189
- Automotive Engineering 54
Countries citing papers authored by Chan Qiu
This map shows the geographic impact of Chan Qiu'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 Chan Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Qiu more than expected).
Fields of papers citing papers by Chan Qiu
This network shows the impact of papers produced by Chan Qiu. 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 Chan Qiu. The network helps show where Chan Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan Qiu, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2016 | 37 | |
| 3 | 2015 | 37 | |
| 4 | 2020 | 31 | |
| 5 | 2021 | 28 | |
| 6 | 2017 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2020 | 22 | |
| 9 | 2016 | 21 | |
| 10 | 2014 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2025 | 16 | |
| 14 | 2023 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2012 | 10 |
About Chan Qiu
Chan Qiu is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Computational Mechanics, Civil and Structural Engineering and Statistics, Probability and Uncertainty, having authored 50 papers that have together received 598 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (17 papers), Advanced machining processes and optimization (7 papers), Probabilistic and Robust Engineering Design (7 papers), Advanced Numerical Analysis Techniques (7 papers), Advanced Measurement and Metrology Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (190 citations), Management of Technology and Innovation (62 citations), Statistics, Probability and Uncertainty (63 citations), Mechanical Engineering (189 citations) and Automotive Engineering (54 citations). Chan Qiu has collaborated with scholars based in China and Australia. Frequent co-authors include Zhenyu Liu, Jianrong Tan, Xiang Peng, Jiquan Li, Zhenyu Liu, Qi Gao, Shaofei Jiang, Zheng Jiang, Huaping Wu and Zhiyun Lin. Their work appears in journals such as Assembly Automation, The International Journal of Advanced Manufacturing Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, IEEE Access and Journal of Mechanical Design.
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.