Jun Yu

1.2k citations
51 papers · 1.0k indexed · h-index 17

Impact in

Papers in

    • Graphene research and applications 18
    • Boron and Carbon Nanomaterials Research 10
    • Carbon Nanotubes in Composites 9
    • MXene and MAX Phase Materials 8
    • Thermal properties of materials 7
    • Diamond and Carbon-based Materials Research 6

Jun Yu

48 papers receiving 994 citations

Peers

Jun Yu
Comparison fields: 5 of 72
  • Materials Chemistry 674
  • Electronic, Optical and Magnetic Materials 152
  • Renewable Energy, Sustainability and the Environment 129
  • Electrochemistry 45
  • Polymers and Plastics 65
Replace Indra Sulania with:
Indra Sulania India
Xiaoyong Gao China
Lluís López‐Conesa Spain
Dzmitry Yakimchuk Russia
M. Kamruddin India
Hsyi‐En Cheng Taiwan
Luis F. Fonseca Puerto Rico
Baodian Yao China
Tae‐Eon Park South Korea
Elena Stolyarova United States
Jun Yu relative to Indra Sulania India Indra Sulania's profile →
Citations per field
00.5×1.5×
Indra Sulania · 1×
Citations per year

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20242
4 202323
5 202386
6 202212
7 20220
8 202015
9 20186
10 201413
11 20135
12 20131
13 20101
14 200977
15 200942
16
Superalloy fine powders prepared by a novel spark plasma discharge process
20080
17 200652
18 200613
19 200565
20 200535

About Jun Yu

Jun Yu is a scholar working on Materials Chemistry, Structural Biology, Bioengineering, Renewable Energy, Sustainability and the Environment and Polymers and Plastics, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Graphene research and applications (18 papers), Boron and Carbon Nanomaterials Research (10 papers), Carbon Nanotubes in Composites (9 papers), MXene and MAX Phase Materials (8 papers), Thermal properties of materials (7 papers), Diamond and Carbon-based Materials Research (6 papers), Gas Sensing Nanomaterials and Sensors (5 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Materials Chemistry (674 citations), Electronic, Optical and Magnetic Materials (152 citations), Renewable Energy, Sustainability and the Environment (129 citations), Electrochemistry (45 citations) and Polymers and Plastics (65 citations). Jun Yu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Ying Chen, Zhengxing Huang, Zhenan Tang, Shichun Mu, Hua Chen, Zonghua Pu, Boyang Mao, Rongguo Song, J. S. Williams and Zhi Wu. Their work appears in journals such as Chemical Physics Letters, Physica B Condensed Matter, ACS Applied Materials & Interfaces, Sensors and Actuators B Chemical and Applied Physics Letters.

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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