Ming Yuan

1.2k total citations
48 papers, 939 citations indexed

About

Ming Yuan is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ming Yuan has authored 48 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 15 papers in Electronic, Optical and Magnetic Materials and 11 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ming Yuan's work include Supercapacitor Materials and Fabrication (12 papers), Advanced battery technologies research (11 papers) and Advancements in Battery Materials (7 papers). Ming Yuan is often cited by papers focused on Supercapacitor Materials and Fabrication (12 papers), Advanced battery technologies research (11 papers) and Advancements in Battery Materials (7 papers). Ming Yuan collaborates with scholars based in China, United Kingdom and United States. Ming Yuan's co-authors include Weihua Tang, Aiping Liu, Yan Zhao, Tingyu Zhao, Ming Zhao, Jiabiao Lian, Wenjun Dong, Jiajun Wang, Yunpeng Huang and Tao Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Langmuir.

In The Last Decade

Ming Yuan

45 papers receiving 928 citations

Peers

Ming Yuan
Comparison fields: 5 of 92
  • Electrical and Electronic Engineering 550
  • Electronic, Optical and Magnetic Materials 336
  • Materials Chemistry 262
  • Renewable Energy, Sustainability and the Environment 208
  • Polymers and Plastics 144
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Citations per field, relative to Ming Yuan
Ming Yuan · 1×
Citations per year, relative to Ming Yuan
Ming Yuan · 1×

Countries citing papers authored by Ming Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yuan. A scholar is included among the top collaborators of Ming Yuan 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 Ming Yuan. Ming Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 7
3 3
4 0
5 0
6 13
7 1
8 42
9 20
10 10
11 9
12 56
13
Berberine-Loaded Thiolated Pluronic F127 Polymeric Micelles for Improving Skin Permeation and Retention
2
14 19
15 44
16 61
17 53
18 1
19 14
20
A Singular Value Decomposition Approach to Automatic Concept Classification in Group Support Systems.
1

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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