Xiaojun Shen

68 total papers · 1.1k total citations
51 papers, 764 citations indexed

About

Xiaojun Shen is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Xiaojun Shen has authored 51 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 16 papers in Automotive Engineering and 15 papers in Energy Engineering and Power Technology. Recurrent topics in Xiaojun Shen's work include Advanced Battery Technologies Research (14 papers), Hybrid Renewable Energy Systems (12 papers) and Fuel Cells and Related Materials (9 papers). Xiaojun Shen is often cited by papers focused on Advanced Battery Technologies Research (14 papers), Hybrid Renewable Energy Systems (12 papers) and Fuel Cells and Related Materials (9 papers). Xiaojun Shen collaborates with scholars based in China, New Zealand and United States. Xiaojun Shen's co-authors include Hong Lv, Cunman Zhang, Wei Zhou, Tek Tjing Lie, Guojie Li, Jingxian Chen, Xintao Deng, Yangyang Li, Minggao Ouyang and Fuyuan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Xiaojun Shen

47 papers receiving 737 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaojun Shen 453 256 183 141 132 51 764
Mohammed A. Alghassab 331 0.7× 137 0.5× 190 1.0× 73 0.5× 91 0.7× 65 743
Constantin Filote 478 1.1× 126 0.5× 161 0.9× 228 1.6× 118 0.9× 78 860
Thomas Kienberger 388 0.9× 128 0.5× 176 1.0× 74 0.5× 115 0.9× 89 819
Chrysovalantou Ziogou 541 1.2× 192 0.8× 148 0.8× 209 1.5× 88 0.7× 51 793
Li Yu 523 1.2× 100 0.4× 115 0.6× 93 0.7× 98 0.7× 58 794
Parag Nijhawan 478 1.1× 195 0.8× 345 1.9× 164 1.2× 187 1.4× 58 904
Dongqi Zhao 502 1.1× 145 0.6× 167 0.9× 139 1.0× 410 3.1× 49 827
Muaz Al Radi 244 0.5× 71 0.3× 228 1.2× 80 0.6× 47 0.4× 34 803
Suprava Chakraborty 332 0.7× 199 0.8× 290 1.6× 95 0.7× 152 1.2× 47 890
Imene Yahyaoui 440 1.0× 244 1.0× 284 1.6× 165 1.2× 48 0.4× 50 773

Countries citing papers authored by Xiaojun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Shen

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