Ling-Yu Lv

583 citations
6 papers · 500 · 1 hit paper · h-index 6

Impact in

Papers in

Ling-Yu Lv

6 papers receiving 499 citations

Ling-Yu Lv's Hit Papers

Smart fire-warning materials and sensors: Design principle, performances, and applications 2022 · 216 citations
2160+1+2Years since publication50100150200

Peers

Ling-Yu Lv
Comparison fields: 5 of 52
  • Polymers and Plastics 290
  • Safety, Risk, Reliability and Quality 124
  • Nuclear Energy and Engineering 2
  • Surfaces, Coatings and Films 30
  • Organic Chemistry 115
Replace Hengrui Wang with:
Hengrui Wang China
Zhongqiang Han China
Ruizhe Huang China
Tongyi Wu China
Linxuan Han China
Yawen Huang China
Y. S. Chiu Taiwan
Rongjie Yang China
Chuanshen Wang China
Ling-Yu Lv relative to Hengrui Wang China Hengrui Wang's profile →
Citations per field
00.5×2.6×
Hengrui Wang · 1×
Citations per year

Countries citing papers authored by Ling-Yu Lv

Since Specialization
Citations

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

Fields of papers citing papers by Ling-Yu Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Smart fire-warning materials and sensors: Design principle, performances, and applications
Hit paper breakdown →
2022216
2 2022141
3 202166
4 202258
5 202510
6 20229

About Ling-Yu Lv

Ling-Yu Lv is a scholar working on Polymers and Plastics, Safety, Risk, Reliability and Quality, Organic Chemistry, Materials Chemistry and Infectious Diseases, having authored 6 papers that have together received 500 indexed citations. Recurring topics across this work include Flame retardant materials and properties (6 papers), Fire dynamics and safety research (5 papers), Graphene research and applications (2 papers), Polydiacetylene-based materials and applications (2 papers), MXene and MAX Phase Materials (1 paper), Fire Detection and Safety Systems (1 paper) and Polymer Foaming and Composites (1 paper). The work is most often cited by research in Polymers and Plastics (290 citations), Safety, Risk, Reliability and Quality (124 citations), Nuclear Energy and Engineering (2 citations), Surfaces, Coatings and Films (30 citations) and Organic Chemistry (115 citations). Ling-Yu Lv has collaborated with scholars based in China and Australia. Frequent co-authors include Long‐Cheng Tang, Cheng‐Fei Cao, Pingan Song, Guodong Zhang, Li Zhao, Yong-Xiang Qu, Feng‐Na Sun, Hao Wang, Bin Yu and Jiabing Feng. Their work appears in journals such as Materials Science and Engineering R Reports, Composites Part B Engineering, ACS Nano, Journal of Materials Chemistry A and Journal of Material Science and Technology.

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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