Shengjun Li

570 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 Single-cell and spatial transcriptomics (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 Single-cell and spatial transcriptomics (3 papers). Shengjun Li collaborates with scholars based in China. Shengjun Li's co-authors include Jin‐Xing Liu, Chun-Hou Zheng, Junliang Shang, Ruimin Shen, Yan Sun, Junying Zhang, Ying-Lian Gao, Juan Wang, Chun-Mei Feng 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shengjun Li China	7	76	58	51	15	13	19	190
Andrew Jones United States	4	104 1.4×	51 0.9×	7 0.1×	9 0.6×	13 1.0×	9	213
Wenwen Min China	9	150 2.0×	47 0.8×	7 0.1×	10 0.7×	6 0.5×	48	294
Tae-Hyun Hwang United States	8	103 1.4×	60 1.0×	13 0.3×	25 1.7×	5 0.4×	19	268
Yoichi Takenaka Japan	9	100 1.3×	34 0.6×	10 0.2×	6 0.4×	6 0.5×	27	207
Roozbeh Dehghannasiri United States	10	130 1.7×	99 1.7×	9 0.2×	16 1.1×	48 3.7×	26	319
Nico Görnitz Germany	10	63 0.8×	123 2.1×	13 0.3×	32 2.1×	10 0.8×	19	243
Qiuye Jin China	7	104 1.4×	83 1.4×	18 0.4×	12 0.8×	6 0.5×	12	290
Shiyu Liang China	9	55 0.7×	90 1.6×	6 0.1×	3 0.2×	9 0.7×	20	221
Byoung-Tak Zhang South Korea	7	290 3.8×	92 1.6×	17 0.3×	4 0.3×	7 0.5×	11	367

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

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Shang, Junliang, Yan Sun, Feng Li, et al.. (2025). MPSO-CD: A Multi-Objective Particle Swarm Optimization Community Detection Method for Identifying Disease Modules. PubMed. 22(4). 1505–1516.

Li, Feng, et al.. (2025). Multi-Affinity network integration based on multi-omics data for tumor stratification. Biomedical Signal Processing and Control. 103. 107487–107487.

Gao, Qi, Shasha Yuan, Shengjun Li, & Juan Wang. (2025). Integrating modularity maximization and contrastive learning for identifying spatial domain from spatial transcriptomics. Expert Systems with Applications. 297. 129426–129426.

Wang, Juan, et al.. (2022). Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection. IEEE Journal of Biomedical and Health Informatics. 26(7). 3578–3589. 5 indexed citations

Zhao, Chao, et al.. (2022). Integrated analysis identifies the IL6/JAK/STAT signaling pathway and the estrogen response pathway associated with the pathogenesis of intracranial aneurysms. Frontiers in Immunology. 13. 1046765–1046765. 7 indexed citations

Yang, Yi, Junliang Shang, Yan Sun, et al.. (2022). TLNPMD: Prediction of miRNA-Disease Associations Based on miRNA-Drug-Disease Three-Layer Heterogeneous Network. Molecules. 27(14). 4371–4371.

Liu, Jin‐Xing, et al.. (2021). Adaptive Total-Variation Regularized Low-Rank Representation for Analyzing Single-Cell RNA-seq Data. Interdisciplinary Sciences Computational Life Sciences. 13(3). 476–489. 5 indexed citations

Jiang, Jielin, Xing Zhang, & Shengjun Li. (2020). A Task Offloading Method with Edge for 5G-Envisioned Cyber-Physical-Social Systems. Security and Communication Networks. 2020. 1–9. 6 indexed citations

Li, Ping, et al.. (2020). A Group Identification Protocol with Leakage Resilience of Secret Sharing Scheme. Complexity. 2020. 1–13. 1 indexed citations

10.

Liu, Jin‐Xing, et al.. (2019). Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method. Complexity. 2019(1). 10 indexed citations

11.

Li, Huiyu, Shengjun Li, Junliang Shang, Jin‐Xing Liu, & Chun-Hou Zheng. (2018). A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data. Journal of Computational Biology. 26(8). 769–781. 1 indexed citations

12.

Shang, Junliang, et al.. (2017). epiACO - a method for identifying epistasis based on ant Colony optimization algorithm. BioData Mining. 10(1). 23–23. 51 indexed citations

13.

Feng, Chun-Mei, Ying-Lian Gao, Jin‐Xing Liu, et al.. (2016). A Simple Review of Sparse Principal Components Analysis. Lecture notes in computer science. 374–383. 9 indexed citations

14.

Li, Shengjun, et al.. (2016). A compressed sensing based two-stage method for detecting epistatic interactions. International Journal of Data Mining and Bioinformatics. 14(4). 354–354. 2 indexed citations

15.

Shang, Junliang, Yan Sun, Shengjun Li, et al.. (2015). An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions. BioMed Research International. 2015. 1–12. 40 indexed citations

16.

Shang, Junliang, et al.. (2014). Detection of SNP-SNP interaction based on the generalized particle swarm optimization algorithm. 151–155. 5 indexed citations

17.

Li, Shengjun, et al.. (2010). Feature Extraction of Lung Sounds Based on Bispectrum Analysis. 393–397. 24 indexed citations

18.

Li, Shengjun. (2007). A Tentative Study in Teaching Reform of "Artificial Intelligence". Computer Knowledge and Technology. 1 indexed citations

19.

Li, Shengjun & Ruimin Shen. (2005). Fuzzy cognitive map learning based on improved nonlinear Hebbian rule. 4. 2301–2306. 23 indexed citations

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.

Explore authors with similar magnitude of impact