Shutao Wang

667 total citations
35 papers, 500 citations indexed

About

Shutao Wang is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Shutao Wang has authored 35 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Analytical Chemistry, 17 papers in Industrial and Manufacturing Engineering and 17 papers in Biomedical Engineering. Recurrent topics in Shutao Wang's work include Spectroscopy and Chemometric Analyses (24 papers), Water Quality Monitoring and Analysis (17 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (10 papers). Shutao Wang is often cited by papers focused on Spectroscopy and Chemometric Analyses (24 papers), Water Quality Monitoring and Analysis (17 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (10 papers). Shutao Wang collaborates with scholars based in China, Mexico and Belgium. Shutao Wang's co-authors include Deming Kong, Shiyu Liu, Yuanyuan Yuan, Jingkun Zhang, Qi Cheng, Chunhai Hu, Yutian Wang, Xijun Wu, Na Liu and Lingfu Kong and has published in prestigious journals such as Optics Express, IEEE Access and Fuel.

In The Last Decade

Shutao Wang

31 papers receiving 494 citations

Peers

Shutao Wang
Shutao Wang
Citations per year, relative to Shutao Wang Shutao Wang (= 1×) peers Deming Kong

Countries citing papers authored by Shutao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shutao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shutao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shutao Wang. A scholar is included among the top collaborators of Shutao Wang 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 Shutao Wang. Shutao Wang 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.
Liu, Shiyu, et al.. (2025). Dual-stage variable selection: Integrating static filtering and dynamic refinement for high-dimensional NIR analysis. Chemometrics and Intelligent Laboratory Systems. 267. 105533–105533.
2.
Liu, Shiyu, Lide Fang, Shutao Wang, & Chunhai Hu. (2024). Accurate determination of alcohol-based diesels using optimal chemical factors. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 326. 125140–125140.
3.
Liu, Shiyu, Shutao Wang, Chunhai Hu, Deming Kong, & Yuanyuan Yuan. (2023). Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 291. 122371–122371. 18 indexed citations
4.
Liu, Na, et al.. (2022). Dual-Band Reflective Optical Sensor Based on GMR-TPS Structure to Detect the Hemoglobin. IEEE Sensors Journal. 22(13). 13529–13535. 3 indexed citations
5.
Kong, Deming, et al.. (2021). Excitation emission matrix fluorescence spectroscopy and parallel factor framework-clustering analysis for oil pollutants identification. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 253. 119586–119586. 15 indexed citations
6.
7.
Wang, Shutao, et al.. (2020). A new method of diesel fuel brands identification: SMOTE oversampling combined with XGBoost ensemble learning. Fuel. 282. 118848–118848. 57 indexed citations
8.
Wang, Shutao, et al.. (2020). A novel CC-tSNE-SVR model for rapid determination of diesel fuel quality by near infrared spectroscopy. Infrared Physics & Technology. 106. 103276–103276. 22 indexed citations
9.
Yuan, Yuanyuan, et al.. (2020). Rapid detection of the authenticity and adulteration of sesame oil using excitation-emission matrix fluorescence and chemometric methods. Food Control. 112. 107145–107145. 52 indexed citations
10.
Wang, Shutao, et al.. (2020). Missing data recovery combined with Parallel factor analysis model for eliminating Rayleigh scattering in the process of detecting pesticide mixture. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 232. 118187–118187. 3 indexed citations
11.
Wang, Shutao, et al.. (2019). Feasibility study on prediction of gasoline octane number using NIR spectroscopy combined with manifold learning and neural network. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 228. 117836–117836. 22 indexed citations
12.
Kong, Deming, et al.. (2019). Classification of oil pollutants based on excitation-emission matrix fluorescence spectroscopy and two-dimensional discriminant analysis. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 228. 117799–117799. 15 indexed citations
13.
Yuan, Yuanyuan, et al.. (2019). Simultaneous determination of carbendazim and chlorothalonil pesticide residues in peanut oil using excitation-emission matrix fluorescence coupled with three-way calibration method. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 220. 117088–117088. 24 indexed citations
14.
Wang, Shutao, et al.. (2019). A GA-BP method of detecting carbamate pesticide mixture based on three-dimensional fluorescence spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 224. 117396–117396. 28 indexed citations
15.
Wang, Shutao, et al.. (2019). Recognition of polycyclic aromatic hydrocarbons using fluorescence spectrometry combined with bird swarm algorithm optimization support vector machine. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 224. 117404–117404. 23 indexed citations
16.
Zheng, Fengjie, et al.. (2018). Analysis of SO2 Pollution Changes of Beijing-Tianjin-Hebei Region over China Based on OMI Observations from 2006 to 2017. Advances in Meteorology. 2018. 1–15. 26 indexed citations
17.
Cheng, Qi, et al.. (2018). Determination of the carmine content based on spectrum fluorescence spectral and PSO-SVM. 125–125. 2 indexed citations
18.
Wang, Shutao, et al.. (2018). Determination of adulterated gasoline using fluorescence emission-excitation matrices and multivariate calibration. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 210. 260–265. 9 indexed citations
19.
Liu, Tingting, et al.. (2017). Four-dimensional data coupled to alternating weighted residue constraint quadrilinear decomposition model applied to environmental analysis: Determination of polycyclic aromatic hydrocarbons. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 193. 507–517. 7 indexed citations
20.
Wang, Shutao, et al.. (2010). Research on fiber-optic sensors for methane detection based on Harmonic detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7656. 76562U–76562U. 1 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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