Shujun Liang

59 total papers · 468 total citations
42 papers, 375 citations indexed

About

Shujun Liang is a scholar working on Organic Chemistry, Polymers and Plastics and Artificial Intelligence. According to data from OpenAlex, Shujun Liang has authored 42 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 8 papers in Polymers and Plastics and 7 papers in Artificial Intelligence. Recurrent topics in Shujun Liang's work include Polymer crystallization and properties (5 papers), Advanced Polymer Synthesis and Characterization (5 papers) and Photopolymerization techniques and applications (4 papers). Shujun Liang is often cited by papers focused on Polymer crystallization and properties (5 papers), Advanced Polymer Synthesis and Characterization (5 papers) and Photopolymerization techniques and applications (4 papers). Shujun Liang collaborates with scholars based in China, United States and Finland. Shujun Liang's co-authors include Jujie Luo, Qingping Guo, Yuan Gao, Shuai Qian, Shumin Wang, Wantai Yang, Yuanfeng Wei, Peng Li, Jianping Deng and Weili Heng and has published in prestigious journals such as Nanoscale, International Journal of Pharmaceutics and Biomacromolecules.

In The Last Decade

Shujun Liang

34 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Shujun Liang 123 73 70 64 62 42 375
Jacek Jenczyk 167 1.4× 61 0.8× 43 0.6× 37 0.6× 49 0.8× 42 424
Jingyun Zhao 124 1.0× 87 1.2× 14 0.2× 63 1.0× 32 0.5× 25 433
Huijun Chen 158 1.3× 33 0.5× 168 2.4× 33 0.5× 21 0.3× 25 445
Gang Wang 247 2.0× 70 1.0× 13 0.2× 70 1.1× 26 0.4× 23 370
Wenhua Qiao 57 0.5× 179 2.5× 72 1.0× 82 1.3× 58 0.9× 16 403
Marieta Mureșan-Pop 156 1.3× 51 0.7× 22 0.3× 24 0.4× 15 0.2× 50 361
Hai-Yan Li 136 1.1× 59 0.8× 58 0.8× 42 0.7× 27 0.4× 28 442
Jianchang Li 90 0.7× 151 2.1× 16 0.2× 27 0.4× 109 1.8× 31 395
Tian Xie 84 0.7× 137 1.9× 30 0.4× 62 1.0× 32 0.5× 29 391
Xin Sun 78 0.6× 40 0.5× 33 0.5× 158 2.5× 60 1.0× 46 422

Countries citing papers authored by Shujun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shujun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujun Liang

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