Lingyuan Wang

38 total papers · 848 total citations
34 papers, 613 citations indexed

About

Lingyuan Wang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Computer Networks and Communications. According to data from OpenAlex, Lingyuan Wang has authored 34 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 13 papers in Polymers and Plastics and 5 papers in Computer Networks and Communications. Recurrent topics in Lingyuan Wang's work include Conducting polymers and applications (13 papers), Perovskite Materials and Applications (12 papers) and Organic Electronics and Photovoltaics (8 papers). Lingyuan Wang is often cited by papers focused on Conducting polymers and applications (13 papers), Perovskite Materials and Applications (12 papers) and Organic Electronics and Photovoltaics (8 papers). Lingyuan Wang collaborates with scholars based in China, Hong Kong and United States. Lingyuan Wang's co-authors include Shangshang Chen, Xiaoyu Shi, He Yan, Lanfeng Hui, Miaoqing Huang, Zhijun Ren, Tarek El‐Ghazawi, Feifei Wang, Zewei Cui and Junli Yin and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Lingyuan Wang

33 papers receiving 602 citations

Hit Papers

Poly(carbazole phosphonic... 2023 2026 2024 2023 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Lingyuan Wang 386 294 130 65 56 34 613
Tianyi Lu 248 0.6× 106 0.4× 81 0.6× 27 0.4× 45 0.8× 22 561
Jiho Choi 128 0.3× 69 0.2× 146 1.1× 74 1.1× 122 2.2× 37 599
Chuanyin Liu 355 0.9× 173 0.6× 35 0.3× 88 1.4× 35 0.6× 28 558
Abhishek Basu 145 0.4× 94 0.3× 123 0.9× 27 0.4× 4 0.1× 62 544
Peng Chen 176 0.5× 21 0.1× 37 0.3× 102 1.6× 70 1.3× 45 537
Sukho Lee 219 0.6× 19 0.1× 211 1.6× 73 1.1× 32 0.6× 71 580
Hongyi Zhou 51 0.1× 258 0.9× 105 0.8× 62 1.0× 83 1.5× 32 582
Kaixin Huang 223 0.6× 79 0.3× 71 0.5× 34 0.5× 47 0.8× 40 510
Mingze Gao 370 1.0× 46 0.2× 136 1.0× 108 1.7× 225 4.0× 60 626
Amir Shahzad 292 0.8× 157 0.5× 118 0.9× 168 2.6× 22 0.4× 39 649

Countries citing papers authored by Lingyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyuan Wang

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