Huichun Yu

1.4k total citations
47 papers, 1.1k citations indexed

About

Huichun Yu is a scholar working on Analytical Chemistry, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Huichun Yu has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Analytical Chemistry, 28 papers in Biomedical Engineering and 14 papers in Spectroscopy. Recurrent topics in Huichun Yu's work include Spectroscopy and Chemometric Analyses (34 papers), Advanced Chemical Sensor Technologies (28 papers) and Analytical Chemistry and Chromatography (14 papers). Huichun Yu is often cited by papers focused on Spectroscopy and Chemometric Analyses (34 papers), Advanced Chemical Sensor Technologies (28 papers) and Analytical Chemistry and Chromatography (14 papers). Huichun Yu collaborates with scholars based in China, Sudan and Russia. Huichun Yu's co-authors include Jun Wang, Yong Yin, Yunhong Liu, Xu Duan, Yong Yu, Hongmei Zhang, Hong Xiao, Miao Liu, Cong Yao and Anguo Xie and has published in prestigious journals such as Sensors, Sensors and Actuators B Chemical and Journal of Food Engineering.

In The Last Decade

Huichun Yu

46 papers receiving 1.1k citations

Peers

Huichun Yu

SPECT

Hamed Karami Iran

Giorgia Foca Italy

Joshua Harrington Aheto China

Chiara Cevoli Italy

Robert Rusinek Poland

Laura Aceña Spain

Mansour Rasekh Iran

Shuang Gu China

Xianqiao Hu China

Yong Yin China

Hamed Karami Iran

Huichun Yu

762 ×1.3

429 ×1.0

343 ×1.0

153 ×1.0

149 ×1.0

SPECT

Citations per year, relative to Huichun Yu Huichun Yu (= 1×) peers Hamed Karami

Countries citing papers authored by Huichun Yu

Since Specialization

Citations

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

Fields of papers citing papers by Huichun Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huichun Yu

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

All Works

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20 of 20 papers shown

Yin, Yong, et al.. (2024). A robust feature wavelength extraction strategy for hyperspectral information:Three cases of potato quality evaluation. Microchemical Journal. 200. 110346–110346. 3 indexed citations

Yin, Yong, et al.. (2024). A LIBSVM quality assessment model for apple spoilage during storage based on hyperspectral data. Analytical Methods. 16(28). 4765–4774. 1 indexed citations

Yin, Yong, et al.. (2024). Feature extraction of fluorescence excitation-emission matrices using PCA fused with Wilks Λ-statistic and FDA for origin identification and active components content prediction of sweet basil. Journal of Food Measurement & Characterization. 18(12). 9971–9982.

Yuan, Yunxia, et al.. (2024). Hyperspectral image characterization and modeling for prediction of ipomeamarone content in sweet potato. Journal of Food Measurement & Characterization. 18(9). 7762–7773. 1 indexed citations

Yu, Huichun, et al.. (2024). Characteristic information analysis of Raman spectrum of cucumber chlorophyll content and hardness and detection model construction. Journal of Food Measurement & Characterization. 18(5). 3492–3501. 2 indexed citations

Lu, Ziheng, Huichun Yu, Yong Yin, et al.. (2023). Determination of the Acid and Peroxide Values of Vegetable Oils by Raman Spectroscopy with Competitive Adaptive Reweighted Sampling (CARS) and Back Propagation Neural Network (BPNN). Analytical Letters. 57(14). 2289–2306. 3 indexed citations

Li, Mengli, et al.. (2021). Early Warning Potential of Banana Spoilage Based on 3D Fluorescence Data of Storage Room Gas. Food and Bioprocess Technology. 14(10). 1946–1961. 6 indexed citations

Li, Xin, Xueru Liu, Xinyue Pang, et al.. (2020). Transcriptomic analysis reveals hub genes and subnetworks related to ROS metabolism in Hylocereus undatus through novel superoxide scavenger trypsin treatment during storage. BMC Genomics. 21(1). 437–437. 15 indexed citations

Yu, Huichun, Yong Yin, Yuzhen Zhao, & Yunxia Yuan. (2020). A recursive correction FDA method based on ICA combined with STAW of vinegar E-nose data. Measurement. 164. 108022–108022. 13 indexed citations

10.

Wang, Qingqing, et al.. (2019). Potential of hyperspectral imaging for nondestructive determination of chlorogenic acid content in Flos Lonicerae. Journal of Food Measurement & Characterization. 13(4). 2603–2612. 20 indexed citations

11.

Liu, Yunhong, et al.. (2018). Contact ultrasound strengthened far-infrared radiation drying on pear slices: Effects on drying characteristics, microstructure, and quality attributes. Drying Technology. 37(6). 745–758. 46 indexed citations

12.

Li, Xiaofang, et al.. (2017). Effect of Far-Infrared Radiation Temperature on Drying Characteristics and Quality of Flos Lonicerae. Food Science. 38(15). 69. 7 indexed citations

13.

Yu, Huichun, et al.. (2017). Detection of Polysaccharides and Total Sugar in Chinese Wolfberry Based on Hyperspectral Imaging in Different Wavebands. 38(8). 191–197. 1 indexed citations

14.

Yin, Yong, et al.. (2017). Detection Potential of Multi-Features Representation of E-Nose Data in Classification of Moldy Maize Samples. Food and Bioprocess Technology. 10(12). 2226–2239. 16 indexed citations

15.

Weı, Qufu, Huichun Yu, Chundong Niu, et al.. (2015). Comparison of Insecticide Susceptibilities of Empoasca vitis (Hemiptera: Cicadellidae) from Three Main Tea-Growing Regions in China. Journal of Economic Entomology. 108(3). 1251–1259. 19 indexed citations

16.

Yu, Huichun. (2009). Feature extraction method for recognition of organophosphorus pesticides by electronic nose. Transducer and Microsystem Technologies. 1 indexed citations

17.

Yu, Huichun, Yongwei Wang, & Jun Wang. (2009). Identification of Tea Storage Times by Linear Discrimination Analysis and Back-Propagation Neural Network Techniques Based on the Eigenvalues of Principal Components Analysis of E-Nose Sensor Signals. Sensors. 9(10). 8073–8082. 50 indexed citations

18.

Yu, Huichun, et al.. (2007). Vintage Year Determination of Bottled Chinese Rice Wine by VIS‐NIR Spectroscopy. Journal of Food Science. 72(3). E125–9. 20 indexed citations

19.

Yu, Huichun, Jun Wang, Cong Yao, Hongmei Zhang, & Yong Yu. (2007). Quality grade identification of green tea using E-nose by CA and ANN. LWT. 41(7). 1268–1273. 79 indexed citations

20.

Zhang, Hongmei, Jun Wang, Xiaojing Tian, Huichun Yu, & Yong Yu. (2007). Optimization of sensor array and detection of stored duration of wheat by electronic nose. Journal of Food Engineering. 82(4). 403–408. 54 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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