Liuwei Meng

814 total citations
18 papers, 678 citations indexed

About

Liuwei Meng is a scholar working on Analytical Chemistry, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Liuwei Meng has authored 18 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Analytical Chemistry, 6 papers in Mechanics of Materials and 5 papers in Biomedical Engineering. Recurrent topics in Liuwei Meng's work include Spectroscopy and Chemometric Analyses (14 papers), Laser-induced spectroscopy and plasma (6 papers) and Advanced Chemical Sensor Technologies (4 papers). Liuwei Meng is often cited by papers focused on Spectroscopy and Chemometric Analyses (14 papers), Laser-induced spectroscopy and plasma (6 papers) and Advanced Chemical Sensor Technologies (4 papers). Liuwei Meng collaborates with scholars based in China, Indonesia and India. Liuwei Meng's co-authors include Lingxia Huang, Di Wu, Leiming Yuan, Wen Shi, Guangzao Huang, Yong He, Xi Chen, Xiaojing Chen, Yangli Xu and Yibin Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Liuwei Meng

18 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liuwei Meng China 13 337 243 153 89 80 18 678
Leiming Yuan China 18 451 1.3× 306 1.3× 174 1.1× 87 1.0× 77 1.0× 52 911
Guangzao Huang China 15 341 1.0× 258 1.1× 189 1.2× 55 0.6× 50 0.6× 55 817
Wen Shi China 12 200 0.6× 192 0.8× 121 0.8× 25 0.3× 50 0.6× 34 563
Franco Allegrini Argentina 12 461 1.4× 186 0.8× 100 0.7× 28 0.3× 42 0.5× 18 665
Jia-Huan Qu China 19 733 2.2× 614 2.5× 392 2.6× 106 1.2× 44 0.6× 35 1.4k
Ji-Ping Wei China 12 195 0.6× 200 0.8× 131 0.9× 26 0.3× 24 0.3× 20 544
Mariana Ramos Almeida Brazil 20 516 1.5× 229 0.9× 312 2.0× 118 1.3× 31 0.4× 48 1.2k
Hina Ali Pakistan 19 418 1.2× 158 0.7× 205 1.3× 258 2.9× 26 0.3× 54 946
Christian Bøge Lyndgaard Denmark 13 237 0.7× 153 0.6× 180 1.2× 40 0.4× 18 0.2× 21 686
Mike Adams United Kingdom 11 232 0.7× 128 0.5× 92 0.6× 29 0.3× 39 0.5× 25 574

Countries citing papers authored by Liuwei Meng

Since Specialization
Citations

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

Fields of papers citing papers by Liuwei Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuwei Meng

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

All Works

18 of 18 papers shown
1.
Chen, Shiliang, Liuwei Meng, Litong Wang, et al.. (2021). SERS-based lateral flow immunoassay for sensitive and simultaneous detection of anti-SARS-CoV-2 IgM and IgG antibodies by using gap-enhanced Raman nanotags. Sensors and Actuators B Chemical. 348. 130706–130706. 77 indexed citations
2.
Ali, Shujat, Xi Chen, Wen Shi, et al.. (2021). Recent Advances in Silver and Gold Nanoparticles-Based Colorimetric Sensors for Heavy Metal Ions Detection: A Review. Critical Reviews in Analytical Chemistry. 53(3). 718–750. 59 indexed citations
3.
Xu, Yangli, Liuwei Meng, Xiaojing Chen, et al.. (2021). A strategy to significantly improve the classification accuracy of LIBS data: application for the determination of heavy metals in Tegillarca granosa. Plasma Science and Technology. 23(8). 85503–85503. 33 indexed citations
4.
Meng, Liuwei, et al.. (2020). Nondestructive measurement of pectin polysaccharides using hyperspectral imaging in mulberry fruit. Food Chemistry. 334. 127614–127614. 56 indexed citations
5.
Su, Laijin, Wen Shi, Liuwei Meng, et al.. (2020). Simultaneously and quantitatively analyze the heavy metals in Sargassum fusiforme by laser-induced breakdown spectroscopy. Food Chemistry. 338. 127797–127797. 64 indexed citations
6.
7.
Meng, Liuwei, et al.. (2020). Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data. SHILAP Revista de lepidopterología. 33. 106483–106483. 5 indexed citations
8.
Meng, Liuwei, Xiaojing Chen, Xi Chen, et al.. (2020). Identification of heavy metal-contaminated Tegillarca granosa using laser-induced breakdown spectroscopy and linear regression for classification. Plasma Science and Technology. 22(8). 85503–85503. 5 indexed citations
9.
Chen, Xiaojing, Yangli Xu, Liuwei Meng, et al.. (2020). Non-parametric partial least squares–discriminant analysis model based on sum of ranking difference algorithm for tea grade identification using electronic tongue data. Sensors and Actuators B Chemical. 311. 127924–127924. 101 indexed citations
10.
Meng, Liuwei, et al.. (2019). Linear and nonlinear classification models for tea grade identification based on the elemental profile. Microchemical Journal. 153. 104512–104512. 16 indexed citations
11.
Wu, Di, Liuwei Meng, Jingyu Wang, et al.. (2019). Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit. International Journal of Molecular Sciences. 20(8). 2017–2017. 32 indexed citations
12.
Meng, Liuwei, et al.. (2019). Tuning parameter identification for variable selection algorithm using the sum of ranking differences algorithm. Journal of Chemometrics. 33(4). 11 indexed citations
13.
Huang, Lingxia, et al.. (2019). A novel method to extract important features from laser induced breakdown spectroscopy data: application to determine heavy metals in mulberries. Journal of Analytical Atomic Spectrometry. 34(3). 460–468. 17 indexed citations
14.
Zhou, Xu, et al.. (2019). Sample Consensus Model and Unsupervised Variable Consensus Model for Improving the Accuracy of a Calibration Model. Applied Spectroscopy. 73(7). 747–758. 8 indexed citations
15.
Xia, Qi, Leiming Yuan, Xiaojing Chen, Liuwei Meng, & Guangzao Huang. (2019). Analysis of Methanol Gasoline by ATR-FT-IR Spectroscopy. Applied Sciences. 9(24). 5336–5336. 7 indexed citations
16.
Huang, Lingxia, Liuwei Meng, Jingyu Wang, et al.. (2018). Potential of Visible and Near-Infrared Hyperspectral Imaging for Detection of Diaphania pyloalis Larvae and Damage on Mulberry Leaves. Sensors. 18(7). 2077–2077. 12 indexed citations
17.
Huang, Lingxia, et al.. (2017). A primary study on forecasting the days before decay of peach fruit using near-infrared spectroscopy and electronic nose techniques. Postharvest Biology and Technology. 133. 104–112. 66 indexed citations
18.

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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