Wenxing Lv

41 total papers · 598 total citations
32 papers, 468 citations indexed

About

Wenxing Lv is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Wenxing Lv has authored 32 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 15 papers in Materials Chemistry and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Wenxing Lv's work include 2D Materials and Applications (12 papers), Advanced Memory and Neural Computing (11 papers) and Magnetic properties of thin films (8 papers). Wenxing Lv is often cited by papers focused on 2D Materials and Applications (12 papers), Advanced Memory and Neural Computing (11 papers) and Magnetic properties of thin films (8 papers). Wenxing Lv collaborates with scholars based in China, Italy and Singapore. Wenxing Lv's co-authors include Zhongming Zeng, Baoshun Zhang, Weiming Lv, Jialin Cai, Like Zhang, Giovanni Finocchio, Xin Luo, Bin Fang, Yanhui Xing and Shiwei Cao and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Wenxing Lv

28 papers receiving 449 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wenxing Lv 271 245 120 85 65 32 468
Weijun Cheng 279 1.0× 196 0.8× 90 0.8× 41 0.5× 56 0.9× 21 447
Mariama Rebello Sousa Dias 244 0.9× 181 0.7× 140 1.2× 105 1.2× 27 0.4× 23 454
Chaoliang Zhang 307 1.1× 82 0.3× 318 2.6× 114 1.3× 53 0.8× 25 474
Teng Xu 225 0.8× 228 0.9× 331 2.8× 200 2.4× 29 0.4× 44 541
Miklós Csontos 283 1.0× 225 0.9× 173 1.4× 107 1.3× 17 0.3× 35 494
Sheng Luo 342 1.3× 252 1.0× 92 0.8× 84 1.0× 25 0.4× 43 532
Heshan Yu 322 1.2× 270 1.1× 77 0.6× 149 1.8× 127 2.0× 36 542
С. Н. Николаев 230 0.8× 169 0.7× 190 1.6× 94 1.1× 25 0.4× 52 436
Jae‐Pil So 265 1.0× 253 1.0× 147 1.2× 75 0.9× 47 0.7× 18 501
Houyi Cheng 253 0.9× 124 0.5× 338 2.8× 129 1.5× 38 0.6× 27 473

Countries citing papers authored by Wenxing Lv

Since Specialization
Citations

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

Fields of papers citing papers by Wenxing Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenxing Lv

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