Chi Lv

492 total citations
9 papers, 436 citations indexed

About

Chi Lv is a scholar working on Polymers and Plastics, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Chi Lv has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Polymers and Plastics, 6 papers in Biomedical Engineering and 2 papers in Organic Chemistry. Recurrent topics in Chi Lv's work include Polymer composites and self-healing (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Surface Modification and Superhydrophobicity (2 papers). Chi Lv is often cited by papers focused on Polymer composites and self-healing (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Surface Modification and Superhydrophobicity (2 papers). Chi Lv collaborates with scholars based in China. Chi Lv's co-authors include Junping Zheng, Kaifeng Zhao, Jinke Wang, Ruofei Hu, Lu Bai, Yihe Wang, Guochen Ji, Haotian Wu, Shucai Li and Kun Cui and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Materials Chemistry A and Composites Part B Engineering.

In The Last Decade

Chi Lv

9 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chi Lv China	9	334	238	111	102	78	9	436
Achilleas Pipertzis Greece	12	186 0.6×	100 0.4×	95 0.9×	69 0.7×	64 0.8×	21	377
Renlong Gao China	10	135 0.4×	147 0.6×	136 1.2×	72 0.7×	33 0.4×	15	363
Ulrike Staudinger Germany	13	246 0.7×	107 0.4×	164 1.5×	121 1.2×	43 0.6×	31	442
Yingbo Ruan China	8	144 0.4×	132 0.6×	144 1.3×	73 0.7×	39 0.5×	14	435
Lizhen Min China	7	131 0.4×	254 1.1×	116 1.0×	22 0.2×	43 0.6×	7	361
Lizong Dai China	10	117 0.4×	98 0.4×	163 1.5×	36 0.4×	30 0.4×	15	332
Yijie Mu China	7	141 0.4×	164 0.7×	92 0.8×	23 0.2×	29 0.4×	8	336
Tiandi Chen China	13	91 0.3×	228 1.0×	141 1.3×	54 0.5×	29 0.4×	23	380
Runqing Ou United States	9	288 0.9×	129 0.5×	123 1.1×	72 0.7×	35 0.4×	18	455
Conghui Jiang China	8	139 0.4×	206 0.9×	66 0.6×	16 0.2×	30 0.4×	12	352

Countries citing papers authored by Chi Lv

Since Specialization

Citations

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

Fields of papers citing papers by Chi Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Lv. A scholar is included among the top collaborators of Chi 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 Chi Lv. Chi 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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9 of 9 papers shown

1.

Lv, Chi, et al.. (2021). A Highly Stretchable, Self-Healing Elastomer with Rate Sensing Capability Based on a Dynamic Dual Network. ACS Applied Materials & Interfaces. 13(7). 9043–9052. 57 indexed citations

2.

Zhao, Kaifeng, Chi Lv, & Junping Zheng. (2020). A robust mechanochromic self-healing poly(dimethylsiloxane) elastomer. Science China Technological Sciences. 63(5). 740–747. 19 indexed citations

3.

Wang, Yihe, et al.. (2020). An all-in-one supercapacitor with high stretchability via a facile strategy. Journal of Materials Chemistry A. 8(17). 8255–8261. 37 indexed citations

4.

Lv, Chi, et al.. (2020). Robust, healable and hydrophobically recoverable polydimethylsiloxane based supramolecular material with dual-activate hard segment. Science China Technological Sciences. 64(2). 423–432. 17 indexed citations

5.

Lv, Chi, et al.. (2019). Degradable, reprocessable, self-healing PDMS/CNTs nanocomposite elastomers with high stretchability and toughness based on novel dual-dynamic covalent sacrificial system. Composites Part B Engineering. 177. 107270–107270. 73 indexed citations

6.

Wang, Jinke, et al.. (2019). A Highly Ionic Conductive, Healable, and Adhesive Polysiloxane‐Supported Ionogel. Macromolecular Rapid Communications. 40(7). e1800776–e1800776. 72 indexed citations

7.

Wang, Jinke, et al.. (2018). Facile Preparation of Polydimethylsiloxane Elastomer with Self‐Healing Property and Remoldability Based on Diels–Alder Chemistry. Macromolecular Materials and Engineering. 303(6). 40 indexed citations

8.

Lv, Chi, Kaifeng Zhao, & Junping Zheng. (2018). A Highly Stretchable Self‐Healing Poly(dimethylsiloxane) Elastomer with Reprocessability and Degradability. Macromolecular Rapid Communications. 39(8). e1700686–e1700686. 112 indexed citations

9.

Lv, Chi, Kun Cui, Shucai Li, Haotian Wu, & Zhi Ma. (2015). Polystyrene‐b‐poly(2,2,2‐trifluoroethyl acrylate)‐b‐polystyrene copolymers: Synthesis and fabrication of their hydrophobic porous films, spheres, and fibers. Journal of Polymer Science Part A Polymer Chemistry. 54(5). 678–685. 9 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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