Ruizhi Lv

22 total papers · 532 total citations
20 papers, 418 citations indexed

About

Ruizhi Lv is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ruizhi Lv has authored 20 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 17 papers in Polymers and Plastics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ruizhi Lv's work include Organic Electronics and Photovoltaics (18 papers), Conducting polymers and applications (17 papers) and Perovskite Materials and Applications (8 papers). Ruizhi Lv is often cited by papers focused on Organic Electronics and Photovoltaics (18 papers), Conducting polymers and applications (17 papers) and Perovskite Materials and Applications (8 papers). Ruizhi Lv collaborates with scholars based in China, South Korea and Bulgaria. Ruizhi Lv's co-authors include Lie Chen, Yiwang Chen, Dong Chen, Xunfan Liao, Bin Huang, Siqi Liu, Chunhe Yang, Yongfang Li, Zhiguo Zhang and Jia Yao and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Functional Materials and Chemical Engineering Journal.

In The Last Decade

Ruizhi Lv

17 papers receiving 415 citations

Author Peers

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

Author Last Decade Papers Cites
Ruizhi Lv 379 342 29 27 23 20 418
Kun Wang 440 1.2× 392 1.1× 41 1.4× 29 1.1× 34 1.5× 27 491
Raluca Movileanu 400 1.1× 334 1.0× 65 2.2× 34 1.3× 45 2.0× 14 447
Peiqing Cong 347 0.9× 300 0.9× 31 1.1× 26 1.0× 14 0.6× 20 370
Wentao Huang 379 1.0× 261 0.8× 88 3.0× 20 0.7× 39 1.7× 28 453
Chenyang Tian 420 1.1× 345 1.0× 20 0.7× 14 0.5× 47 2.0× 13 440
Fengyuan Lin 340 0.9× 274 0.8× 65 2.2× 25 0.9× 59 2.6× 14 413
Fengzhe Cui 400 1.1× 305 0.9× 38 1.3× 11 0.4× 50 2.2× 14 427
Bin Chang 363 1.0× 288 0.8× 44 1.5× 17 0.6× 30 1.3× 19 381
Jules Bertrandie 445 1.2× 347 1.0× 53 1.8× 12 0.4× 21 0.9× 13 469
Jinde Yu 388 1.0× 315 0.9× 47 1.6× 6 0.2× 36 1.6× 16 407

Countries citing papers authored by Ruizhi Lv

Since Specialization
Citations

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

Fields of papers citing papers by Ruizhi Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruizhi Lv

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