Weiyi Lin

1.6k citations
38 papers · 691 · h-index 14

Impact in

Papers in

    • Graphene research and applications 20
    • 2D Materials and Applications 13
    • Thermal properties of materials 5
    • MXene and MAX Phase Materials 4
    • Advanced Memory and Neural Computing 7
    • Ferroelectric and Negative Capacitance Devices 4

Weiyi Lin

37 papers receiving 676 citations

Peers

Weiyi Lin
Comparison fields: 5 of 64
  • Automotive Engineering 141
  • Industrial and Manufacturing Engineering 80
  • Materials Chemistry 355
  • Electrical and Electronic Engineering 264
  • Biomedical Engineering 183
Replace Elahe Jabari with:
Elahe Jabari Canada
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Owen Hildreth United States
Junghwan Park South Korea
Yong‐Jin Kim South Korea
Hasanul Karim United States
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Weiyi Lin relative to Elahe Jabari Canada Elahe Jabari's profile →
Citations per field
00.5×4.2×
Elahe Jabari · 1×
Citations per year

Countries citing papers authored by Weiyi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Weiyi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weiyi Lin, 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 Weiyi Lin Line = papers co-authored together Weiyi Lin 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 201995
2 201971
3 201866
4 201653
5 201951
6 201446
7 201830
8 201428
9 201927
10 201522
11 202119
12 201817
13 201915
14 201713
15 202313
16 201712
17 202211
18 202310
19 20199
20 20219

About Weiyi Lin

Weiyi Lin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 38 papers that have together received 691 indexed citations. Recurring topics across this work include Graphene research and applications (20 papers), 2D Materials and Applications (13 papers), Advanced Memory and Neural Computing (7 papers), Thermal properties of materials (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Transition Metal Oxide Nanomaterials (4 papers), Graphene and Nanomaterials Applications (4 papers) and MXene and MAX Phase Materials (4 papers). The work is most often cited by research in Automotive Engineering (141 citations), Industrial and Manufacturing Engineering (80 citations), Materials Chemistry (355 citations), Electrical and Electronic Engineering (264 citations) and Biomedical Engineering (183 citations). Weiyi Lin has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Weiwei Cai, Pingping Zhuang, Jianzhong Fu, Hongyao Shen, Bo Tian, Cankun Zhang, Tien‐Mo Shih, Qiongyu Li, Junzhu Li and Guanhua Xu. Their work appears in journals such as Applied Physics Letters, Carbon, Applied Surface Science, Advanced Electronic Materials and Science China Physics Mechanics and Astronomy.

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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