Lian Wu

95 total papers · 1.1k total citations
61 papers, 808 citations indexed

About

Lian Wu is a scholar working on Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Lian Wu has authored 61 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electronic, Optical and Magnetic Materials, 16 papers in Electrical and Electronic Engineering and 15 papers in Biomedical Engineering. Recurrent topics in Lian Wu's work include Advanced Battery Materials and Technologies (11 papers), Advancements in Battery Materials (10 papers) and Magnetic properties of thin films (7 papers). Lian Wu is often cited by papers focused on Advanced Battery Materials and Technologies (11 papers), Advancements in Battery Materials (10 papers) and Magnetic properties of thin films (7 papers). Lian Wu collaborates with scholars based in China, Sweden and Hong Kong. Lian Wu's co-authors include Zhangfa Tong, Yun Zou, Hao Pang, Tengyou Wei, Bing Liao, Kelei Huang, Jianhua Sun, Wei Zeng, Zhicai Wang and Shibiao Ren and has published in prestigious journals such as Journal of Power Sources, Acta Materialia and Coordination Chemistry Reviews.

In The Last Decade

Lian Wu

57 papers receiving 788 citations

Author Peers

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

Author Last Decade Papers Cites
Lian Wu 333 231 189 179 103 61 808
Huiqin Chen 265 0.8× 161 0.7× 288 1.5× 203 1.1× 163 1.6× 55 782
Zi Wang 271 0.8× 94 0.4× 203 1.1× 198 1.1× 71 0.7× 56 761
Somenath Ganguly 162 0.5× 266 1.2× 170 0.9× 140 0.8× 178 1.7× 72 737
Zhongjie He 236 0.7× 352 1.5× 518 2.7× 209 1.2× 94 0.9× 50 1.1k
Ao Gong 401 1.2× 167 0.7× 225 1.2× 276 1.5× 125 1.2× 57 809
A. Mianowski 263 0.8× 195 0.8× 489 2.6× 98 0.5× 78 0.8× 86 945
Hongyan Liu 250 0.8× 291 1.3× 244 1.3× 379 2.1× 72 0.7× 48 731
Xuesong Lu 225 0.7× 281 1.2× 193 1.0× 181 1.0× 89 0.9× 36 835
Meng Yuan 291 0.9× 203 0.9× 228 1.2× 120 0.7× 27 0.3× 37 786
Minsu Kim 165 0.5× 273 1.2× 352 1.9× 178 1.0× 61 0.6× 48 735

Countries citing papers authored by Lian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian Wu

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