Ming Qiu

2.2k citations
113 papers · 1.2k · h-index 17

Impact in

Papers in

Ming Qiu

107 papers receiving 1.2k citations

Peers

Ming Qiu
Comparison fields: 5 of 118
  • Condensed Matter Physics 364
  • Experimental and Cognitive Psychology 191
  • Human-Computer Interaction 78
  • Cognitive Neuroscience 221
  • Control and Systems Engineering 197
Replace Siyang Zuo with:
Siyang Zuo China
Jingwu Chen China
Moustapha Hafez France
K.J. Gabriel United States
Makoto Sato Japan
H.E. Stephanou United States
Chao Zhou China
Xuehui Wang China
Xinyu Guo China
Tomomasa Sato Japan
Ming Qiu relative to Siyang Zuo China Siyang Zuo's profile →
Citations per field
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Siyang Zuo · 1×
Citations per year

Countries citing papers authored by Ming Qiu

Since Specialization
Citations

This map shows the geographic impact of Ming 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 Ming Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Qiu more than expected).

Fields of papers citing papers by Ming Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming 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 Ming Qiu. The network helps show where Ming Qiu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming Qiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Qiu Line = papers co-authored together Ming Qiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018229
2 202279
3 202354
4 201445
5 200744
6 202441
7 202440
8 202040
9 202027
10 201824
11 201423
12 201022
13 202321
14 201520
15 201019
16 201616
17 202116
18 201616
19 201715
20 200715

About Ming Qiu

Ming Qiu is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Biomedical Engineering and Condensed Matter Physics, having authored 113 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gear and Bearing Dynamics Analysis (27 papers), Tribology and Lubrication Engineering (24 papers), HVDC Systems and Fault Protection (19 papers), Physics of Superconductivity and Magnetism (18 papers), Superconducting Materials and Applications (17 papers), Frequency Control in Power Systems (11 papers), High-Voltage Power Transmission Systems (9 papers) and Magnetic Bearings and Levitation Dynamics (9 papers). The work is most often cited by research in Condensed Matter Physics (364 citations), Experimental and Cognitive Psychology (191 citations), Human-Computer Interaction (78 citations), Cognitive Neuroscience (221 citations) and Control and Systems Engineering (197 citations). Ming Qiu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yingdong Wang, Xiaowei Chen, Qingfeng Wu, Jiahui Zhu, Ben Wang, Stephan Handschuh‐Wang, Wenjiang Yang, Jie Shen, Weijia Yuan and Yun Wang. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Superconductor Science and Technology, Shock and Vibration, Journal of Testing and Evaluation and Cryogenics.

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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