Chongshan Yang

518 total citations
22 papers, 373 citations indexed

About

Chongshan Yang is a scholar working on Analytical Chemistry, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Chongshan Yang has authored 22 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Analytical Chemistry, 14 papers in Biomedical Engineering and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Chongshan Yang's work include Spectroscopy and Chemometric Analyses (16 papers), Advanced Chemical Sensor Technologies (14 papers) and Tea Polyphenols and Effects (7 papers). Chongshan Yang is often cited by papers focused on Spectroscopy and Chemometric Analyses (16 papers), Advanced Chemical Sensor Technologies (14 papers) and Tea Polyphenols and Effects (7 papers). Chongshan Yang collaborates with scholars based in China and United Kingdom. Chongshan Yang's co-authors include Chunwang Dong, Zhongyuan Liu, Ting An, Yang Li, Bin Hu, Xin Luo, Yan Zhao, Yaqi Li, Yongwen Jiang and Dandan Duan and has published in prestigious journals such as Scientific Reports, Food Chemistry and Sensors.

In The Last Decade

Chongshan Yang

22 papers receiving 372 citations

Peers

Countries citing papers authored by Chongshan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chongshan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongshan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chongshan Yang. A scholar is included among the top collaborators of Chongshan Yang 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 Chongshan Yang. Chongshan Yang 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

#	Work	Indexed citations
1	Long-range infrared absorption spectroscopy and fast mass spectrometry for rapid online measurements of volatile organic compounds from black tea fermentation 2024 ·Food Chemistry ·Chongshan Yang, Leizi Jiao, Chunwang Dong, (unknown), Peng Lin, Dandan Duan, Guanglin Li, Chunjiang Zhao, Xinglan Fu, Daming Dong	11
2	Rapid and accurate detection of total nitrogen in the different types for soil using laser-induced breakdown spectroscopy combined with transfer learning 2024 ·Computers and Electronics in Agriculture ·Peng Lin, (unknown), Chongshan Yang, Jun Zhang, Shixiang Ma, Jiangtao Wen, Daming Dong, Yuxing Han	2
3	Simple and sensitive determination of Cr (III), Cu (II) and Pb (II) in tea infusions using AgNPs-modified resin combined with laser-induced breakdown spectroscopy 2024 ·Food Chemistry ·(unknown), Fengjing Cao, Chongshan Yang, Zhen Gao, Hongwu Tian, Xiande Zhao, Lianbo Guo, Shixiang Ma, Daming Dong	7
4	Lightweight CNN combined with knowledge distillation for the accurate determination of black tea fermentation degree 2024 ·Food Research International ·(unknown), Chongshan Yang, Bin Hu, (unknown), Jinggang Li, (unknown), (unknown), Zhiwei Chen, Chunwang Dong	13
5	Detection of anthocyanin content in fresh Zijuan tea leaves based on hyperspectral imaging 2023 ·Food Control ·(unknown), Jiang Shi, Chongshan Yang, Yang Li, Yan Zhao, Zhongyuan Liu, Ting An, Xiaoli Li, Yan Peng, Chunwang Dong	28
6	Detection of volatile organic compounds in adulterated tea using Fourier transform infrared spectroscopy and Proton-transfer-reaction mass spectrometry 2023 ·Food Chemistry ·Chongshan Yang, Dandan Duan, Chunwang Dong, (unknown), Guanglin Li, (unknown), (unknown), (unknown), Chunjiang Zhao, Daming Dong	10
7	Rapid identification of artificial fragrant rice based on volatile organic compounds: From PTR-MS to FTIR 2023 ·Food Chemistry ·(unknown), Min Zuo, Ke Wang, Leizi Jiao, Guiyan Yang, Chongshan Yang, Xiande Zhao, Daming Dong	8
8	Evaluation of the Black Tea Taste Quality during Fermentation Process Using Image and Spectral Fusion Features 2023 ·Fermentation ·Ting An, Chongshan Yang, (unknown), Zheli Wang, (unknown), Shuxiang Fan, Wenqian Huang, Dandan Qi, Xi Tian, (unknown), Chunwang Dong	7
9	Real-Time Discrimination and Quality Evaluation of Black Tea Fermentation Quality Using a Homemade Simple Machine Vision System 2023 ·Fermentation ·Chongshan Yang, Ting An, Dandan Qi, (unknown), Chunwang Dong	2
10	Research on the Detection Method of Organic Matter in Tea Garden Soil Based on Image Information and Hyperspectral Data Fusion 2023 ·Sensors ·(unknown), (unknown), Chongshan Yang, (unknown), Zhongyuan Liu, (unknown), Xiaoli Li, Chunwang Dong	5
11	Detection of Volatile Organic Compounds in Adulterated Tea Using Fourier Transform Infrared Spectroscopy and Proton-Transfer-Reaction Mass Spectrometry 2023 ·SSRN Electronic Journal ·Chongshan Yang, (unknown), Chunwang Dong, (unknown), Guanglin Li, (unknown), Y. T. Gu, (unknown), Chunjiang Zhao, Daming Dong	2
12	Moisture content monitoring in withering leaves during black tea processing based on electronic eye and near infrared spectroscopy 2022 ·Scientific Reports ·(unknown), Chongshan Yang, (unknown), Yang Li, Ting An, Chunwang Dong	10
13	Research on moisture content detection method during green tea processing based on machine vision and near-infrared spectroscopy technology 2022 ·Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ·Zhongyuan Liu, (unknown), Chongshan Yang, Bin Hu, Xin Luo, Yang Li, Chunwang Dong	74
14	Quantitative prediction and visual detection of the moisture content of withering leaves in black tea (Camellia sinensis) with hyperspectral image 2022 ·Infrared Physics & Technology ·Chunwang Dong, Ting An, (unknown), Chongshan Yang, Zhongyuan Liu, Yang Li, Dandan Duan, Shuxiang Fan	26
15	A Real-Time Detection Method of Hg2+ in Drinking Water via Portable Biosensor: Using a Smartphone as a Low-Cost Micro-Spectrometer to Read the Colorimetric Signals 2022 ·Biosensors ·(unknown), Leizi Jiao, Fengjing Cao, (unknown), (unknown), Chongshan Yang, Zhen Gao, Jun Zhang, (unknown), (unknown), Daming Dong	12
16	A Method for Judging the Fermentation Quality of Congou Based on Hyperspectral 2021 ·Guangpuxue yu guangpu fenxi ·Chongshan Yang, Chunwang Dong, (unknown), Ting An, (unknown)	4
17	Rapid detection of catechins during black tea fermentation based on electrical properties and chemometrics 2021 ·Food Bioscience ·Chunwang Dong, Yulong Ye, Chongshan Yang, Ting An, Yongwen Jiang, Yang Ye, Yaqi Li, Yanqin Yang	26
18	Rapid detection of exogenous sucrose in black tea samples based on near-infrared spectroscopy 2021 ·Infrared Physics & Technology ·Chunwang Dong, Zhongyuan Liu, Chongshan Yang, Ting An, Bin Hu, Xin Luo, Jing Jin, Yang Li	10
19	Quantitative prediction and visualization of key physical and chemical components in black tea fermentation using hyperspectral imaging 2021 ·LWT ·Chongshan Yang, Yan Zhao, Ting An, Zhongyuan Liu, Yongwen Jiang, Yaqi Li, Chunwang Dong	61
20	Black tea withering moisture detection method based on convolution neural network confidence 2020 ·Journal of Food Process Engineering ·Ting An, (unknown), Chongshan Yang, (unknown), (unknown), (unknown), Bin Hu, Chunwang Dong	31

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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