Ling-Yu Lv

558 total citations · 1 hit paper
6 papers, 477 citations indexed

About

Ling-Yu Lv is a scholar working on Polymers and Plastics, Safety, Risk, Reliability and Quality and Organic Chemistry. According to data from OpenAlex, Ling-Yu Lv has authored 6 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Polymers and Plastics, 5 papers in Safety, Risk, Reliability and Quality and 2 papers in Organic Chemistry. Recurrent topics in Ling-Yu Lv's work include Flame retardant materials and properties (6 papers), Fire dynamics and safety research (5 papers) and Graphene research and applications (2 papers). Ling-Yu Lv is often cited by papers focused on Flame retardant materials and properties (6 papers), Fire dynamics and safety research (5 papers) and Graphene research and applications (2 papers). Ling-Yu Lv collaborates with scholars based in China and Australia. Ling-Yu Lv's co-authors include Long‐Cheng Tang, Cheng‐Fei Cao, Pingan Song, Guodong Zhang, Li Zhao, Yong-Xiang Qu, Jiabing Feng, Hao Wang, Bin Yu and Feng‐Na Sun and has published in prestigious journals such as ACS Nano, Journal of Materials Chemistry A and Composites Part B Engineering.

In The Last Decade

Ling-Yu Lv

6 papers receiving 469 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Smart fire-warning materials and sensors: Design principle, performances, and applications

2022 204 citations Ling-Yu Lv, Cheng‐Fei Cao et al. Materials Science and Engineering R Reports profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ling-Yu Lv China	6	277	160	149	121	115	6	477
Zhongqiang Han China	10	271 1.0×	59 0.4×	141 0.9×	52 0.4×	107 0.9×	13	470
Hengrui Wang China	14	482 1.7×	114 0.7×	293 2.0×	81 0.7×	45 0.4×	18	809
Ruizhe Huang China	9	211 0.8×	62 0.4×	142 1.0×	34 0.3×	25 0.2×	12	408
Rongjie Yang China	13	567 2.0×	27 0.2×	283 1.9×	78 0.6×	48 0.4×	19	699
Linxuan Han China	10	231 0.8×	67 0.4×	108 0.7×	59 0.5×	11 0.1×	18	454
Y. S. Chiu Taiwan	12	585 2.1×	33 0.2×	394 2.6×	46 0.4×	131 1.1×	21	737
Zhixin Chen China	7	350 1.3×	51 0.3×	242 1.6×	77 0.6×	38 0.3×	9	488
Zhe Sun China	13	321 1.2×	85 0.5×	119 0.8×	8 0.1×	132 1.1×	27	466
Y.S. Chiu Taiwan	11	279 1.0×	24 0.1×	218 1.5×	21 0.2×	81 0.7×	15	389

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-authorship network of co-authors of Ling-Yu Lv

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

All Works

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6 of 6 papers shown

1.

Guo, Bi‐Fan, Ling-Yu Lv, Cheng‐Fei Cao, et al.. (2025). Thermally induced cyclic resistance transition of a transparent and flame-retardant layered oxidized MXene composite nanocoating for remote-sync fire monitoring. Journal of Materials Chemistry A. 13(32). 26255–26267. 9 indexed citations

2.

Cao, Cheng‐Fei, Bin Yu, Ling-Yu Lv, et al.. (2022). Biomimetic, Mechanically Strong Supramolecular Nanosystem Enabling Solvent Resistance, Reliable Fire Protection and Ultralong Fire Warning. ACS Nano. 16(12). 20865–20876. 136 indexed citations

3.

Lv, Ling-Yu, Cheng‐Fei Cao, Yong-Xiang Qu, et al.. (2022). Smart fire-warning materials and sensors: Design principle, performances, and applications. Materials Science and Engineering R Reports. 150. 100690–100690. 204 indexed citations breakdown →

4.

Guo, Bi‐Fan, Cheng‐Fei Cao, Ling-Yu Lv, et al.. (2022). Restricted assembly of ultralow loading of graphene oxide for lightweight, mechanically flexible and flame retardant polydimethylsiloxane foam composites. Composites Part B Engineering. 247. 110290–110290. 55 indexed citations

5.

Qiu, Weiwei, Zhi-Ran Yu, Lingyun Zhou, et al.. (2022). Facile Fabrication of Graphene Oxide Nanoribbon-Based Nanocomposite Papers with Different Oxidation Degrees and Morphologies for Tunable Fire-Warning Response. Nanomaterials. 12(12). 1963–1963. 9 indexed citations

6.

Cao, Cheng‐Fei, Wenjun Liu, Hui Xu, et al.. (2021). Temperature-induced resistance transition behaviors of melamine sponge composites wrapped with different graphene oxide derivatives. Journal of Material Science and Technology. 85. 194–204. 64 indexed citations

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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