Shulin Liu

580 total citations
43 papers, 397 citations indexed

About

Shulin Liu is a scholar working on Biomedical Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shulin Liu has authored 43 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 17 papers in Artificial Intelligence and 12 papers in Molecular Biology. Recurrent topics in Shulin Liu's work include Artificial Immune Systems Applications (20 papers), Anomaly Detection Techniques and Applications (13 papers) and Influenza Virus Research Studies (6 papers). Shulin Liu is often cited by papers focused on Artificial Immune Systems Applications (20 papers), Anomaly Detection Techniques and Applications (13 papers) and Influenza Virus Research Studies (6 papers). Shulin Liu collaborates with scholars based in China, Hong Kong and United States. Shulin Liu's co-authors include Dong Li, Hongli Zhang, Xin Sun, Furong Gao, Dong Li, Dong Li, Jia Liu, Ming Gu, Paul A. Janmey and Yongho Bae and has published in prestigious journals such as Chemical Engineering Journal, Expert Systems with Applications and Virology.

In The Last Decade

Shulin Liu

35 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shulin Liu China 12 176 163 102 78 48 43 397
Hever Moncayo United States 15 307 1.7× 131 0.8× 247 2.4× 60 0.8× 15 0.3× 90 577
Yin Zhang China 13 61 0.3× 40 0.2× 112 1.1× 105 1.3× 77 1.6× 59 584
Zhipeng Xu China 12 97 0.6× 42 0.3× 79 0.8× 74 0.9× 81 1.7× 34 399
Rongjie Liu United States 11 56 0.3× 45 0.3× 182 1.8× 91 1.2× 39 0.8× 50 534
Zhen Gao China 12 76 0.4× 39 0.2× 113 1.1× 30 0.4× 66 1.4× 53 424
Fang Ren China 11 33 0.2× 105 0.6× 31 0.3× 21 0.3× 23 0.5× 45 418
Tuan Le United States 12 115 0.7× 27 0.2× 15 0.1× 50 0.6× 53 1.1× 35 532

Countries citing papers authored by Shulin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shulin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shulin Liu. A scholar is included among the top collaborators of Shulin Liu 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 Shulin Liu. Shulin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kuang, Hulin, Xinyuan Liu, Jin Liu, et al.. (2025). Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients. Medical Image Analysis. 101. 103490–103490. 2 indexed citations
2.
Wang, Jiaxing, Ming Lu, Jingwen Lin, et al.. (2025). Multi-level inhibition of SARS-CoV-2 invasion by cannabidiol and epigallocatechin gallate. Virology. 610. 110579–110579. 1 indexed citations
3.
Zhang, Yanjun, Yan Wu, Zhaoyong Zhang, et al.. (2025). An RBD-Fc mucosal vaccine provides variant-proof protection against SARS-CoV-2 in mice and hamsters. npj Vaccines. 10(1). 100–100.
4.
Liu, Shulin, Yubin Tang, Xiaona Zhang, & Ying Zhang. (2025). Lithium-doped mesoporous bioactive glass with dual antibacterial mechanisms: Sustained ion release and osteogenic activity for bone regeneration. Colloids and Surfaces A Physicochemical and Engineering Aspects. 727. 138356–138356.
5.
Kuang, Hulin, Bin Hu, Shulin Liu, et al.. (2025). A dual-branch hybrid network with bilateral-difference awareness for collateral scoring on CT angiography of acute ischemic stroke patients. Physics in Medicine and Biology. 70(8). 85010–85010.
6.
Shi, Xue‐Hui, et al.. (2024). GSH-responsive prodrug-based nanodrugs for augmenting chemo-photodynamic synergistic therapy against tumors. Nano Today. 57. 102368–102368. 11 indexed citations
7.
Zhang, Xiaona, Yubin Tang, Shulin Liu, & Ying Zhang. (2024). Influence of lithium ion doping and mitoxantrone hydrochloride loading on the structure and in vitro biological properties of mesoporous bioactive glass microspheres in the treatment of multiple myeloma. Colloids and Surfaces A Physicochemical and Engineering Aspects. 695. 134168–134168. 3 indexed citations
8.
Zhang, Xiaona, Yubin Tang, Shulin Liu, & Ying Zhang. (2024). The upconversion luminescence biomonitoring and biological properties of rare earth oxide-inorganic composite microspheres enhanced by lithium. Chemical Engineering Journal. 502. 157916–157916. 2 indexed citations
9.
Li, Dong, et al.. (2024). A random feature mapping method based on the AdaBoost algorithm and results fusion for enhancing classification performance. Expert Systems with Applications. 256. 124902–124902. 9 indexed citations
12.
Liu, Jia, et al.. (2023). A feature selection method based on multiple feature subsets extraction and result fusion for improving classification performance. Applied Soft Computing. 150. 111018–111018. 26 indexed citations
13.
Li, Dong, et al.. (2023). Continual learning classification method with human-in-the-loop. MethodsX. 11. 102374–102374. 1 indexed citations
14.
Zhang, Hongli, et al.. (2022). Small-sample continual learning classification method with vaccine to update memory cells based on the artificial immune system. Biosystems. 220. 104737–104737. 3 indexed citations
15.
Sun, Xin, et al.. (2022). Self-updating continual learning classification method based on artificial immune system. Applied Intelligence. 52(11). 12817–12843. 12 indexed citations
16.
Li, Dong, Shulin Liu, Furong Gao, & Xin Sun. (2021). Continual learning classification method for time-varying data space based on artificial immune system. Journal of Intelligent & Fuzzy Systems. 40(5). 8741–8754. 7 indexed citations
17.
Li, Dong, Xin Sun, Furong Gao, & Shulin Liu. (2021). An improved real-valued negative selection algorithm based on the constant detector for anomaly detection. Journal of Intelligent & Fuzzy Systems. 40(5). 8793–8806. 6 indexed citations
18.
Bae, Yongho, Shulin Liu, Fitzroy J. Byfield, Paul A. Janmey, & Richard K. Assoian. (2016). Measuring the Stiffness of <em>Ex Vivo</em> Mouse Aortas Using Atomic Force Microscopy. Journal of Visualized Experiments. 19 indexed citations
19.
Zhang, Hongli, et al.. (2013). The machine abnormal degree detection method based on SVDD and negative selection mechanism. Journal of Vibroengineering. 15(4). 1873–1884. 4 indexed citations
20.
Liu, Shulin, et al.. (2008). Low noise and high resolution microchannel plate. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6621. 662105–662105.

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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