Mo Qu

29 total papers · 426 total citations
11 papers, 263 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 11 papers receiving a total of 263 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, Quan Liu, Wenjun Xu, Mairi Kerin 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 253 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mo Qu	185	114	77	42	41	11	263
Shimin Liu	186 1.0×	81 0.7×	39 0.5×	18 0.4×	26 0.6×	16	297
Enrico Villagrossi	77 0.4×	176 1.5×	134 1.7×	28 0.7×	91 2.2×	27	294
Apostolis Papavasileiou	190 1.0×	130 1.1×	61 0.8×	13 0.3×	41 1.0×	12	324
João Sousa	185 1.0×	17 0.1×	57 0.7×	27 0.6×	24 0.6×	16	263
Angeliki Zacharaki	69 0.4×	72 0.6×	27 0.4×	8 0.2×	41 1.0×	8	286
Ishwar Singh	120 0.6×	29 0.3×	28 0.4×	14 0.3×	18 0.4×	18	206
Dan Centea	77 0.4×	44 0.4×	150 1.9×	132 3.1×	17 0.4×	15	310
Marcello Valori	44 0.2×	88 0.8×	56 0.7×	10 0.2×	121 3.0×	27	272
Victor Azamfirei	188 1.0×	17 0.1×	41 0.5×	17 0.4×	9 0.2×	13	269
Harpreet Singh	39 0.2×	54 0.5×	84 1.1×	22 0.5×	13 0.3×	17	287

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

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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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