Shaowen Li

1.7k total citations
91 papers, 1.3k citations indexed

About

Shaowen Li is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Automotive Engineering. According to data from OpenAlex, Shaowen Li has authored 91 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 12 papers in Molecular Biology and 10 papers in Automotive Engineering. Recurrent topics in Shaowen Li's work include Advanced Battery Materials and Technologies (24 papers), Advancements in Battery Materials (24 papers) and Advanced Battery Technologies Research (10 papers). Shaowen Li is often cited by papers focused on Advanced Battery Materials and Technologies (24 papers), Advancements in Battery Materials (24 papers) and Advanced Battery Technologies Research (10 papers). Shaowen Li collaborates with scholars based in China, United States and Sweden. Shaowen Li's co-authors include Yue Ma, Xiaoyu Tang, Miao Bai, Changchun Sun, Helin Wang, Xiu Jin, Xianrong Meng, Mei Liu, Weiwei Wu and Zhiqiao Wang and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Advanced Energy Materials.

In The Last Decade

Shaowen Li

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaowen Li China 23 608 238 136 131 115 91 1.3k
Siyu Huang China 21 263 0.4× 166 0.7× 621 4.6× 240 1.8× 49 0.4× 99 2.0k
Wanting Yu China 21 345 0.6× 87 0.4× 182 1.3× 280 2.1× 61 0.5× 81 1.5k
Chander Shekhar Sharma India 28 489 0.8× 61 0.3× 164 1.2× 301 2.3× 25 0.2× 102 2.3k
Letian Li China 21 248 0.4× 62 0.3× 193 1.4× 228 1.7× 17 0.1× 98 1.5k
Yoshiaki Ito Japan 22 118 0.2× 109 0.5× 323 2.4× 71 0.5× 42 0.4× 79 1.5k
Wu Qu China 16 813 1.3× 269 1.1× 150 1.1× 353 2.7× 6 0.1× 62 1.5k
Anurag Tripathi India 26 401 0.7× 22 0.1× 264 1.9× 228 1.7× 113 1.0× 118 2.2k
Marco Silvestri Italy 21 577 0.9× 157 0.7× 32 0.2× 115 0.9× 14 0.1× 74 1.4k
Jia Chen China 23 645 1.1× 18 0.1× 222 1.6× 185 1.4× 32 0.3× 90 1.4k

Countries citing papers authored by Shaowen Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaowen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shaowen Li. A scholar is included among the top collaborators of Shaowen 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 Shaowen Li. Shaowen Li 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.
Li, Shaowen, et al.. (2025). Visualizing molecular structure—Adsorption efficiency relationship through an interpretable machine learning strategy. Colloids and Surfaces A Physicochemical and Engineering Aspects. 712. 136400–136400. 5 indexed citations
2.
Huang, Lan, et al.. (2025). Associations of erythrocyte membrane fatty acids with blood pressure in children. Clinical Nutrition. 46. 30–36.
3.
Li, Xin, et al.. (2024). Adaptive Step RRT*-Based Method for Path Planning of Tea-Picking Robotic Arm. Sensors. 24(23). 7759–7759. 2 indexed citations
4.
Liu, Ting, Helin Wang, Miao Bai, et al.. (2023). Boosting the Reversible, High‐Rate Na+ Storage Capability of the Hard Carbon Anode Via the Synergistic Structural Tailoring and Controlled Presodiation. Small. 19(21). e2207638–e2207638. 34 indexed citations
5.
Li, Shaowen, et al.. (2023). A New Semantic Segmentation Framework Based on UNet. Sensors. 23(19). 8123–8123. 7 indexed citations
6.
Ye, Yong, et al.. (2022). Blockchain-Based Internet of Things: Machine Learning Tea Sensing Trusted Traceability System. Journal of Sensors. 2022. 1–16. 24 indexed citations
7.
Xu, Zhen, et al.. (2021). Prevalence and Antimicrobial Resistance of Salmonella and Staphylococcus aureus in Fattening Pigs in Hubei Province, China. Microbial Drug Resistance. 27(11). 1594–1602. 5 indexed citations
8.
Meng, Xianrong, Qi Huang, Zhou Chen, et al.. (2020). Prevalence and Characterization of Salmonella in Three Typical Commercial Pig Abattoirs in Wuhan, China. Foodborne Pathogens and Disease. 17(10). 620–627. 19 indexed citations
9.
Zhao, Gang, et al.. (2019). Sparse Sampling Decision-making Based on Compressive Sensing for Agricultural Monitoring Nodes. 1 indexed citations
10.
Xu, Wenjun, et al.. (2018). Model-driven in-situ data compressive gathering.. Acta Agriculturae Zhejiangensis. 30(12). 2102–2111. 1 indexed citations
11.
Jin, Xiu, et al.. (2018). Diagnosis of symptom appearance of potato dry rot disease using time series hyperspectral imaging based on dynamic time warping.. Shipin Kexue / Food Science. 39(19). 233–240.
12.
Zhang, Jing, Shaowen Li, Xugang Ku, et al.. (2018). Co-infection with porcine bocavirus and porcine circovirus 2 affects inflammatory cytokine production and tight junctions of IPEC-J2 cells. Virus Genes. 54(5). 684–693. 7 indexed citations
13.
Jin, Xiu, et al.. (2017). Predicting sandy soil moisture content with hyperspectral imaging. International journal of agricultural and biological engineering. 10(6). 175–183. 9 indexed citations
14.
Wang, Ying, Ti Lu, Zutao Zhou, et al.. (2017). A Novel RAYM_RS09735/RAYM_RS09740 Two-Component Signaling System Regulates Gene Expression and Virulence in Riemerella anatipestifer. Frontiers in Microbiology. 8. 688–688. 13 indexed citations
15.
Jin, Xiu, et al.. (2017). Predicting sandy soil moisture content with hyperspectral imaging. International journal of agricultural and biological engineering. 10(6). 175–183. 15 indexed citations
16.
Zhang, Jing, et al.. (2016). Performance of classic multiple factor analysis and model fitting in crop modeling. International journal of agricultural and biological engineering. 9(2). 119–126. 1 indexed citations
17.
Li, Shaowen, et al.. (2015). Effects of water and sediment discharge regulation on macrobenthic community in the Yellow River Estuary.. The Research of Environmental Sciences. 28(2). 259–266. 3 indexed citations
18.
Liu, Yuan, et al.. (2013). Sensitivity of the potential evapotranspiration to climate and vegetation in Hanjiang River basin based on S-W Model. Nongye gongcheng xuebao. 2013(10). 1 indexed citations
19.
Chen, Yushan, Hui Jin, Ping Chen, et al.. (2012). Haemophilus parasuis infection activates the NF-κB pathway in PK-15 cells through IκB degradation. Veterinary Microbiology. 160(1-2). 259–263. 33 indexed citations
20.
Zhu, Liwu, et al.. (2003). Regeneration system of pomegranate by in vitro culture.. Acta Horticulturae Sinica. 30(2). 207–208. 6 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.

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