Lijun Wu

56 total papers · 1.2k total citations
39 papers, 919 citations indexed

About

Lijun Wu is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Lijun Wu has authored 39 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 17 papers in Atomic and Molecular Physics, and Optics and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Lijun Wu's work include Graphene research and applications (22 papers), Semiconductor materials and interfaces (14 papers) and Carbon Nanotubes in Composites (10 papers). Lijun Wu is often cited by papers focused on Graphene research and applications (22 papers), Semiconductor materials and interfaces (14 papers) and Carbon Nanotubes in Composites (10 papers). Lijun Wu collaborates with scholars based in China, United States and Australia. Lijun Wu's co-authors include Wei‐Qiang Han, Kenji Watanabe, Yimei Zhu, Takashi Taniguchi, Yimei Zhu, Longhai Shen, Joseph A. Garlow, Lawrence Barrett, Kim Kisslinger and Lin Zhang and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Journal of Colloid and Interface Science.

In The Last Decade

Lijun Wu

32 papers receiving 896 citations

Author Peers

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

Author						Papers	Cites
Lijun Wu	806	227	158	145	90	39	919
F. Wyczisk	792 1.0×	256 1.1×	233 1.5×	190 1.3×	189 2.1×	26	989
Hongliang Lu	665 0.8×	307 1.4×	150 0.9×	252 1.7×	104 1.2×	42	877
Natasha Erdman	712 0.9×	308 1.4×	109 0.7×	114 0.8×	286 3.2×	50	919
Zhili Hu	793 1.0×	272 1.2×	107 0.7×	85 0.6×	70 0.8×	42	947
Magdalena Birowska	797 1.0×	274 1.2×	208 1.3×	116 0.8×	149 1.7×	34	906
Yuefeng Yin	663 0.8×	366 1.6×	161 1.0×	211 1.5×	142 1.6×	44	949
Xiaoyu Guo	530 0.7×	377 1.7×	87 0.6×	141 1.0×	128 1.4×	42	842
Roberto S. Aga	548 0.7×	320 1.4×	206 1.3×	195 1.3×	98 1.1×	49	813
Aniekan Magnus Ukpong	1.1k 1.4×	357 1.6×	72 0.5×	173 1.2×	131 1.5×	33	1.2k
Kyoung-Ik Cho	563 0.7×	512 2.3×	221 1.4×	141 1.0×	68 0.8×	58	863

Countries citing papers authored by Lijun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Lijun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Wu

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