Shengjun Li

38 total papers · 552 total citations
19 papers, 190 citations indexed

About

Shengjun Li is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Shengjun Li has authored 19 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Surgery. Recurrent topics in Shengjun Li's work include Gene expression and cancer classification (6 papers), Machine Learning in Bioinformatics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Shengjun Li is often cited by papers focused on Gene expression and cancer classification (6 papers), Machine Learning in Bioinformatics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Shengjun Li collaborates with scholars based in China. Shengjun Li's co-authors include Jin‐Xing Liu, Junliang Shang, Chun-Hou Zheng, Ruimin Shen, Yan Sun, Junying Zhang, Ying-Lian Gao, Juan Wang, Xing Zhang and Jielin Jiang and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Immunology and Molecules.

In The Last Decade

Shengjun Li

15 papers receiving 187 citations

Author Peers

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

Author Last Decade Papers Cites
Shengjun Li 76 58 51 15 13 19 190
Tae-Hyun Hwang 103 1.4× 61 1.1× 13 0.3× 25 1.7× 5 0.4× 19 269
Chenyang Zhang 42 0.6× 81 1.4× 24 0.5× 12 0.8× 4 0.3× 32 250
Marcel Hildebrandt 53 0.7× 110 1.9× 57 1.1× 4 0.3× 4 0.3× 17 241
Wittawat Jitkrittum 34 0.4× 71 1.2× 17 0.3× 12 0.8× 8 0.6× 16 179
Hyoung-Min Park 40 0.5× 142 2.4× 13 0.3× 27 1.8× 4 0.3× 24 247
Yoichi Takenaka 100 1.3× 34 0.6× 10 0.2× 6 0.4× 5 0.4× 27 207
Andrew Jones 100 1.3× 49 0.8× 6 0.1× 9 0.6× 11 0.8× 9 206
Yongheng Xing 39 0.5× 61 1.1× 37 0.7× 6 0.4× 14 1.1× 23 170
Bill Worzel 41 0.5× 84 1.4× 18 0.4× 5 0.3× 7 0.5× 13 168
Shiyu Liang 54 0.7× 90 1.6× 6 0.1× 3 0.2× 8 0.6× 20 219

Countries citing papers authored by Shengjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Shengjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjun Li

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