Mo Qu
Impact in
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- Manufacturing Process and Optimization
- Advanced Manufacturing and Logistics Optimization
- Recycling and Waste Management Techniques
- Digital Transformation in Industry
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
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- Manufacturing Process and Optimization 9
- Advanced Manufacturing and Logistics Optimization 5
- Recycling and Waste Management Techniques 2
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- Robot Manipulation and Learning 6
- Co-authors
- Yongjing Wang (11 shared papers)Duc Truong Pham (10 shared papers)Shizhong Su (4 shared papers)Zude Zhou (3 shared papers)Chunqian Ji (3 shared papers)Jun Huang (3 shared papers)Mairi Kerin (3 shared papers)Wenjun Xu (2 shared papers)
- Journals
- Royal Society Open Science (2 papers)IEEE Transactions on Industrial Informatics (2 papers)Computers & Industrial Engineering (2 papers)IEEE Transactions on Automation Science and Engineering (1 paper)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- United KingdomChina
In The Last Decade
Mo Qu
9 papers receiving 261 citations
Peers
Comparison fields: 5 of 39
- Industrial and Manufacturing Engineering 190
- Control and Systems Engineering 118
- Industrial and Manufacturing Engineering 37
- Automotive Engineering 46
- Mechanical Engineering 79
Countries citing papers authored by Mo Qu
This map shows the geographic impact of Mo 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 Mo Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Qu more than expected).
Fields of papers citing papers by Mo Qu
This network shows the impact of papers produced by Mo 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 Mo Qu. The network helps show where Mo Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 79 | |
| 2 | 2020 | 70 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 26 | |
| 5 | 2023 | 16 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Mo Qu
Mo Qu is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering and Automotive Engineering, having authored 12 papers that have together received 271 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (9 papers), Robot Manipulation and Learning (6 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Advanced Surface Polishing Techniques (3 papers), Recycling and Waste Management Techniques (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Extraction and Separation Processes (2 papers) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (190 citations), Control and Systems Engineering (118 citations), Industrial and Manufacturing Engineering (37 citations), Automotive Engineering (46 citations) and Mechanical Engineering (79 citations). Mo Qu has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Yongjing Wang, Duc Truong Pham, Shizhong Su, Zude Zhou, Chunqian Ji, Jun Huang, Mairi Kerin, Wenjun Xu, Quan Liu and Ruiya Li. Their work appears in journals such as Royal Society Open Science, IEEE Transactions on Industrial Informatics, Computers & Industrial Engineering, IEEE Transactions on Automation Science and Engineering and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.
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.