Min Wei

478 citations
38 papers · 395 · h-index 10

Impact in

    • Advanced Memory and Neural Computing
    • Gas Sensing Nanomaterials and Sensors
    • Multilevel Inverters and Converters
    • Ferroelectric and Negative Capacitance Devices
    • Advanced DC-DC Converters
    • ZnO doping and properties
    • Copper-based nanomaterials and applications

Papers in

Min Wei

37 papers receiving 387 citations

Peers

Min Wei
Comparison fields: 5 of 45
  • Electrical and Electronic Engineering 313
  • Materials Chemistry 174
  • Polymers and Plastics 51
  • Electronic, Optical and Magnetic Materials 56
  • Cellular and Molecular Neuroscience 47
Replace Ashwani Kumar with:
Ashwani Kumar India
Jianyu Lan China
Fang Nie China
Wenhua Huang China
Vahid Nabaei United Kingdom
S. Prakash India
Jing Wen China
Zhipeng Dou China
Danian Dong China
Min Wei relative to Ashwani Kumar India Ashwani Kumar's profile →
Citations per field
00.5×
Ashwani Kumar · 1×
Citations per year

Countries citing papers authored by Min Wei

Since Specialization
Citations

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

Fields of papers citing papers by Min Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201259
2 201856
3 201850
4 201347
5 201125
6 200916
7 201715
8 201712
9 20209
10 20079
11 20109
12 20188
13 20067
14 20077
15 20075
16 20095
17 20065
18 20095
19 20184
20 20134

About Min Wei

Min Wei is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Biomedical Engineering and Condensed Matter Physics, having authored 38 papers that have together received 395 indexed citations. Recurring topics across this work include ZnO doping and properties (19 papers), Gas Sensing Nanomaterials and Sensors (8 papers), Ga2O3 and related materials (7 papers), Advanced Memory and Neural Computing (7 papers), Copper-based nanomaterials and applications (6 papers), Nanowire Synthesis and Applications (5 papers), GaN-based semiconductor devices and materials (5 papers) and Multilevel Inverters and Converters (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (313 citations), Materials Chemistry (174 citations), Polymers and Plastics (51 citations), Electronic, Optical and Magnetic Materials (56 citations) and Cellular and Molecular Neuroscience (47 citations). Min Wei has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Hong Deng, Yuzhong Chen, Huan Liu, Fan Yang, Haitao Deng, Chunfu Li, Fujin Deng, Josep M. Guerrero, Kai Li and Juan C. Vásquez. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Journal of Alloys and Compounds, Journal of Materials Science, Food Chemistry and Nanotechnology Reviews.

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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