Shaojun Wu

63 total papers · 974 total citations
33 papers, 735 citations indexed

About

Shaojun Wu is a scholar working on Electrical and Electronic Engineering, Soil Science and Computer Networks and Communications. According to data from OpenAlex, Shaojun Wu has authored 33 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 10 papers in Soil Science and 6 papers in Computer Networks and Communications. Recurrent topics in Shaojun Wu's work include Soil Carbon and Nitrogen Dynamics (9 papers), Advanced Photonic Communication Systems (8 papers) and Advanced Optical Network Technologies (5 papers). Shaojun Wu is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (9 papers), Advanced Photonic Communication Systems (8 papers) and Advanced Optical Network Technologies (5 papers). Shaojun Wu collaborates with scholars based in China, Hong Kong and Singapore. Shaojun Wu's co-authors include Xinhui Han, Gaihe Yang, Chengjie Ren, Yueying Zhan, Zekun Zhong, Danshi Wang, Min Zhang, Jin Li, Shuyue Fu and Miaoping Xu and has published in prestigious journals such as Soil Biology and Biochemistry, Optics Express and Soil Science Society of America Journal.

In The Last Decade

Shaojun Wu

31 papers receiving 703 citations

Author Peers

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

Author Last Decade Papers Cites
Shaojun Wu 345 220 147 122 122 33 735
Gary Li 291 0.8× 208 0.9× 59 0.4× 19 0.2× 50 0.4× 36 684
Weijing Kong 86 0.2× 155 0.7× 291 2.0× 259 2.1× 61 0.5× 54 799
Zhirui Wang 145 0.4× 135 0.6× 23 0.2× 33 0.3× 91 0.7× 37 834
Zhen Cheng 112 0.3× 79 0.4× 68 0.5× 18 0.1× 60 0.5× 48 773
Bo Lin 50 0.1× 46 0.2× 99 0.7× 46 0.4× 155 1.3× 78 851
Makoto Yamamoto 137 0.4× 60 0.3× 106 0.7× 46 0.4× 20 0.2× 76 656
Zhibin Guo 424 1.2× 198 0.9× 45 0.3× 36 0.3× 356 2.9× 37 807
Julien Minet 69 0.2× 67 0.3× 64 0.4× 49 0.4× 78 0.6× 29 787
Ruirui Chen 413 1.2× 184 0.8× 21 0.1× 19 0.2× 188 1.5× 31 740
Nan Xiao 44 0.1× 393 1.8× 44 0.3× 25 0.2× 64 0.5× 35 822

Countries citing papers authored by Shaojun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Wu

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