Dan Yu

2.0k citations
110 papers · 1.3k · 1 hit paper · h-index 19

Impact in

Papers in

Dan Yu

101 papers receiving 1.2k citations

Dan Yu's Hit Papers

Regional disparities and influencing factors of high quality medical resources distribution in China 2023 · 62 citations
620+1+2Years since publication204060

Peers

Dan Yu
Comparison fields: 5 of 179
  • Automotive Engineering 202
  • Electronic, Optical and Magnetic Materials 123
  • Biotechnology 57
  • Industrial and Manufacturing Engineering 40
  • Nuclear Energy and Engineering 2
Replace Min Xu with:
Min Xu China
Lei Chen China
Ahmed M. Galal Egypt
Qing Zhang China
Junghee Park South Korea
Hyun Soo Kim South Korea
Xiang Liu China
Małgorzata Kowalska Poland
Xiaole Wang China
Lan Yan China
Dan Yu relative to Min Xu China Min Xu's profile →
Citations per field
00.5×4.1×
Min Xu · 1×
Citations per year

Countries citing papers authored by Dan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2 2023112
3 201971
4
Regional disparities and influencing factors of high quality medical resources distribution in China
Hit paper breakdown →
202362
5 201860
6 201359
7 202450
8 200550
9 202341
10 202339
11 202237
12 202231
13 201226
14 202325
15 200625
16 202224
17 202422
18 202121
19 200319
20 201018

About Dan Yu

Dan Yu is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Computer Networks and Communications, Automotive Engineering and Biomedical Engineering, having authored 110 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (9 papers), Cooperative Communication and Network Coding (6 papers), Fault Detection and Control Systems (5 papers), Advancements in Battery Materials (5 papers), Mobile Ad Hoc Networks (4 papers), Electromagnetic wave absorption materials (4 papers), Wireless Communication Networks Research (4 papers) and Dielectric materials and actuators (4 papers). The work is most often cited by research in Automotive Engineering (202 citations), Electronic, Optical and Magnetic Materials (123 citations), Biotechnology (57 citations), Industrial and Manufacturing Engineering (40 citations) and Nuclear Energy and Engineering (2 citations). Dan Yu has collaborated with scholars based in China, Germany and Denmark. Frequent co-authors include Yu Wang, Søren Byg Vilsen, Xingjun Li, Wei Wang, Rui Xu, Meifang Zhu, Shilong Ma, Jing Tian, Yongge Ma and Muxin Han. Their work appears in journals such as Foods, Journal of Energy Storage, Journal of Energy Chemistry, IEEE Transactions on Transportation Electrification and Frontiers in Microbiology.

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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