Mo Qu

445 total citations
12 papers, 271 citations indexed

About

Mo Qu is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Mo Qu has authored 12 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 6 papers in Control and Systems Engineering and 3 papers in Mechanical Engineering. Recurrent topics in Mo Qu's work include Manufacturing Process and Optimization (9 papers), Robot Manipulation and Learning (6 papers) and Advanced Manufacturing and Logistics Optimization (5 papers). Mo Qu is often cited by papers focused on Manufacturing Process and Optimization (9 papers), Robot Manipulation and Learning (6 papers) and Advanced Manufacturing and Logistics Optimization (5 papers). Mo Qu collaborates with scholars based in United Kingdom and China. Mo Qu's co-authors include Duc Truong Pham, Yongjing Wang, Shizhong Su, Zude Zhou, Chunqian Ji, Jun Huang, Mairi Kerin, Quan Liu, Wenjun Xu and Ruiya Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Computers & Industrial Engineering.

In The Last Decade

Mo Qu

9 papers receiving 261 citations

Peers

Mo Qu

IME

CSE

ME

AE

BE

Shizhong Su United Kingdom

Peter Mitrouchev France

Jiafan Zhang China

Mohamad Bdiwi Germany

Enrico Villagrossi Italy

Elisa Verna Italy

Apostolis Papavasileiou Greece

Dan Centea Canada

Tao Yin China

Yuan-Jye Tseng Taiwan

Shizhong Su United Kingdom

Mo Qu

202 ×1.1

IME

119 ×1.0

CSE

133 ×1.7

ME

52 ×1.1

AE

57 ×1.4

BE

Citations per year, relative to Mo Qu Mo Qu (= 1×) peers Shizhong Su

Countries citing papers authored by Mo Qu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mo Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Mo Qu. A scholar is included among the top collaborators of Mo Qu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mo Qu. Mo Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Liu, Xiliang, Jiajia Xu, Mo Qu, et al.. (2025). Computationally generative mechanical cloaks. Cell Reports Physical Science. 6(12). 102971–102971.

2.

Xu, Xinhua, Mo Qu, Roger Dixon, et al.. (2025). Robotic Disassembly Skill Acquisition Based on Reinforcement Learning With External Knowledge Injection. IEEE Transactions on Industrial Informatics. 21(6). 4576–4585.

3.

Qu, Mo, et al.. (2025). An experimental robotic cell for the disassembly of electric vehicle battery modules. PubMed. 15(2-3). 381–410.

4.

Qu, Mo, et al.. (2024). Characterizing the mechanics of rectangular peg–hole disassembly and the effect of the active compliance centre on the extraction force. Royal Society Open Science. 11(11). 240956–240956. 1 indexed citations

5.

Qu, Mo, et al.. (2024). Robotic disassembly of electric vehicle batteries: Technologies and opportunities. Computers & Industrial Engineering. 198. 110727–110727. 5 indexed citations

6.

Qu, Mo, et al.. (2024). Robotic Disassembly Platform for Disassembly of a Plug-In Hybrid Electric Vehicle Battery: A Case Study. SHILAP Revista de lepidopterología. 5(2). 50–67. 13 indexed citations

7.

Zhang, Yongquan, et al.. (2024). Jamming problems and the effects of compliance in dual peg-hole disassembly. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 480(2286). 2 indexed citations

8.

Qu, Mo, Yongjing Wang, & Duc Truong Pham. (2023). Robotic Disassembly Task Training and Skill Transfer Using Reinforcement Learning. IEEE Transactions on Industrial Informatics. 19(11). 10934–10943. 16 indexed citations

9.

Huang, Jun, Duc Truong Pham, Ruiya Li, et al.. (2021). An experimental human-robot collaborative disassembly cell. Computers & Industrial Engineering. 155. 107189–107189. 79 indexed citations

10.

Li, Ruiya, Chunqian Ji, Quan Liu, et al.. (2020). Unfastening of Hexagonal Headed Screws by a Collaborative Robot. IEEE Transactions on Automation Science and Engineering. 1–14. 70 indexed citations

11.

Zhang, Yongquan, Hong Lü, Duc Truong Pham, et al.. (2019). Peg–hole disassembly using active compliance. Royal Society Open Science. 6(8). 190476–190476. 26 indexed citations

12.

Huang, Jun, Duc Truong Pham, Yongjing Wang, et al.. (2019). A case study in human–robot collaboration in the disassembly of press-fitted components. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 234(3). 654–664. 59 indexed citations

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.

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