Guangxin Ren

893 total citations
27 papers, 720 citations indexed

About

Guangxin Ren is a scholar working on Analytical Chemistry, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Guangxin Ren has authored 27 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Analytical Chemistry, 19 papers in Biomedical Engineering and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Guangxin Ren's work include Spectroscopy and Chemometric Analyses (21 papers), Advanced Chemical Sensor Technologies (19 papers) and Tea Polyphenols and Effects (7 papers). Guangxin Ren is often cited by papers focused on Spectroscopy and Chemometric Analyses (21 papers), Advanced Chemical Sensor Technologies (19 papers) and Tea Polyphenols and Effects (7 papers). Guangxin Ren collaborates with scholars based in China, Belgium and United States. Guangxin Ren's co-authors include Zhengzhu Zhang, Jingming Ning, Yujie Wang, Xiaochun Wan, Shengpeng Wang, Ying Liu, Zhiqiang Xing, Yuxia Wang, Rongrong Xu and Luqing Li and has published in prestigious journals such as Food Chemistry, Food Research International and Journal of the Science of Food and Agriculture.

In The Last Decade

Guangxin Ren

26 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangxin Ren China 17 521 352 212 126 110 27 720
Alireza Sanaeifar China 17 594 1.1× 509 1.4× 98 0.5× 94 0.7× 140 1.3× 30 1.0k
I. Esteban-Dı́ez Spain 17 602 1.2× 332 0.9× 54 0.3× 120 1.0× 258 2.3× 29 940
Chongshan Yang China 11 275 0.5× 178 0.5× 134 0.6× 61 0.5× 73 0.7× 22 373
Chenhao Cui China 7 226 0.4× 129 0.4× 96 0.5× 103 0.8× 120 1.1× 15 566
Mizuki Tsuta Japan 17 633 1.2× 351 1.0× 30 0.1× 164 1.3× 227 2.1× 92 1.1k
Rui Kang China 14 194 0.4× 119 0.3× 40 0.2× 111 0.9× 76 0.7× 24 431
Silvia De Luca Italy 9 210 0.4× 120 0.3× 57 0.3× 65 0.5× 73 0.7× 19 469
Baishao Zhan China 15 577 1.1× 230 0.7× 28 0.1× 130 1.0× 100 0.9× 27 736
Jun Bin China 12 419 0.8× 184 0.5× 20 0.1× 185 1.5× 54 0.5× 29 599
Shuying Gong China 12 143 0.3× 94 0.3× 353 1.7× 29 0.2× 255 2.3× 34 541

Countries citing papers authored by Guangxin Ren

Since Specialization
Citations

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

Fields of papers citing papers by Guangxin Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxin Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxin Ren. A scholar is included among the top collaborators of Guangxin Ren 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 Guangxin Ren. Guangxin Ren 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.
Mao, Shaolin, et al.. (2025). Street Design Guidelines and Urban Road System Improvement: From Traffic Volume to Space Quality. Transportation research procedia. 82. 3266–3282. 1 indexed citations
2.
3.
Ren, Guangxin, et al.. (2023). Description of tea quality using deep learning and multi-sensor feature fusion. Journal of Food Composition and Analysis. 126. 105924–105924. 14 indexed citations
4.
Wang, Yujie, Guangxin Ren, Menghui Li, et al.. (2023). Design and testing of a machine-vision-based air-blow sorting platform for famous tea fresh leaves production. Computers and Electronics in Agriculture. 214. 108334–108334. 10 indexed citations
5.
Ren, Guangxin, et al.. (2023). Rapid Characterization of Black Tea Taste Quality Using Miniature NIR Spectroscopy and Electronic Tongue Sensors. Biosensors. 13(1). 92–92. 12 indexed citations
6.
Ren, Guangxin, et al.. (2023). Rapid detection of ash content in black tea using a homemade miniature near-infrared spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 308. 123740–123740. 9 indexed citations
7.
Ren, Guangxin, et al.. (2023). Intelligent Evaluation of the Appearance Modality of Black Tea Based on Machine Vision and Hyperspectral Imaging. Analytical Letters. 57(2). 176–189. 4 indexed citations
8.
Ren, Guangxin, et al.. (2022). Characterization of Congou Black Tea by an Electronic Nose with Grey Wolf Optimization (GWO) and Chemometrics. Analytical Letters. 56(13). 2123–2136. 1 indexed citations
9.
Ren, Guangxin, et al.. (2022). Digital depiction of the quality of Dianhong black tea based on pocket-sized near infrared spectroscopy. Infrared Physics & Technology. 127. 104418–104418. 18 indexed citations
10.
Ren, Guangxin, Ying Liu, Jingming Ning, & Zhengzhu Zhang. (2020). Hyperspectral imaging for discrimination of Keemun black tea quality categories: Multivariate calibration analysis and data fusion. International Journal of Food Science & Technology. 56(6). 2580–2587. 18 indexed citations
11.
Ren, Guangxin, Yujie Wang, Jingming Ning, & Zhengzhu Zhang. (2020). Using near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 237. 118407–118407. 71 indexed citations
12.
Ren, Guangxin, Yujie Wang, Jingming Ning, & Zhengzhu Zhang. (2020). Highly identification of keemun black tea rank based on cognitive spectroscopy: Near infrared spectroscopy combined with feature variable selection. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 230. 118079–118079. 67 indexed citations
13.
Ren, Guangxin, Jianwei Chen, Yanbo Wang, et al.. (2020). Effects of sodium selenite spray on apple production, quality, and sucrose metabolism-related enzyme activity. Food Chemistry. 339. 127883–127883. 38 indexed citations
14.
Ren, Guangxin, Jingming Ning, & Zhengzhu Zhang. (2020). Intelligent assessment of tea quality employing visible-near infrared spectra combined with a hybrid variable selection strategy. Microchemical Journal. 157. 105085–105085. 47 indexed citations
15.
Ren, Guangxin, et al.. (2020). Cognitive spectroscopy for evaluating Chinese black tea grades (Camellia sinensis): near‐infrared spectroscopy and evolutionary algorithms. Journal of the Science of Food and Agriculture. 100(10). 3950–3959. 29 indexed citations
16.
Ren, Guangxin, Jingming Ning, & Zhengzhu Zhang. (2020). Multi-variable selection strategy based on near-infrared spectra for the rapid description of dianhong black tea quality. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 245. 118918–118918. 49 indexed citations
17.
Wang, Yujie, Jing Huang, Guangxin Ren, et al.. (2020). Quality assessment of instant green tea using portable NIR spectrometer. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 240. 118576–118576. 44 indexed citations
18.
Ren, Guangxin, et al.. (2020). Evaluating Congou black tea quality using a lab-made computer vision system coupled with morphological features and chemometrics. Microchemical Journal. 160. 105600–105600. 27 indexed citations
19.
Ren, Guangxin, Junjie Cai, Shipeng Li, Nenghai Yu, & Qi Tian. (2014). Salable Image Search with Reliable Binary Code. 769–772. 3 indexed citations
20.

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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