Dan Qu

1.1k citations
39 papers · 872 · h-index 13

Impact in

Papers in

Dan Qu

34 papers receiving 854 citations

Peers

Dan Qu
Comparison fields: 5 of 113
  • Polymers and Plastics 176
  • Biomedical Engineering 396
  • Electronic, Optical and Magnetic Materials 132
  • Fluid Flow and Transfer Processes 36
  • Aerospace Engineering 139
Replace Xinyu Zhang with:
Xinyu Zhang China
Ruimin Zhang China
Haoran Li China
Alireza Nikfarjam Iran
Yuting Zhao China
Muhammad Waqas Pakistan
A. K. Gupta India
Brian A. Mazzeo United States
Dan Qu relative to Xinyu Zhang China Xinyu Zhang's profile →
Citations per field
00.5×4.1×
Xinyu Zhang · 1×
Citations per year

Countries citing papers authored by Dan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Qu, 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 Dan Qu Line = papers co-authored together Dan Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018273
2 2007126
3 200684
4 202475
5 202053
6 202129
7 202028
8 202128
9 202122
10 201822
11 202116
12 202515
13 201713
14 201911
15 201910
16 20209
17 20067
18 20235
19 20055
20 20245

About Dan Qu

Dan Qu is a scholar working on Biomedical Engineering, Aerospace Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Mechanical Engineering, having authored 39 papers that have together received 872 indexed citations. Recurring topics across this work include Advanced Antenna and Metasurface Technologies (6 papers), Antenna Design and Analysis (5 papers), Microwave Engineering and Waveguides (3 papers), Phase Equilibria and Thermodynamics (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Scheduling and Optimization Algorithms (3 papers), Membrane Separation Technologies (3 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). The work is most often cited by research in Polymers and Plastics (176 citations), Biomedical Engineering (396 citations), Electronic, Optical and Magnetic Materials (132 citations), Fluid Flow and Transfer Processes (36 citations) and Aerospace Engineering (139 citations). Dan Qu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include L. Shafai, Alireza Foroozesh, Ye Ma, Feng Xie, Yue Huang, Liyuan Chai, Guangzhao Qin, Yunguo Liu, Ming Zhou and Xin Wang. Their work appears in journals such as Advanced Functional Materials, The Journal of Chemical Thermodynamics, Journal of Petroleum Science and Engineering, Water Research and PeerJ Computer Science.

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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