Zheli Wang

898 total citations
25 papers, 704 citations indexed

About

Zheli Wang is a scholar working on Analytical Chemistry, Plant Science and Biophysics. According to data from OpenAlex, Zheli Wang has authored 25 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Analytical Chemistry, 14 papers in Plant Science and 11 papers in Biophysics. Recurrent topics in Zheli Wang's work include Spectroscopy and Chemometric Analyses (23 papers), Spectroscopy Techniques in Biomedical and Chemical Research (11 papers) and Smart Agriculture and AI (9 papers). Zheli Wang is often cited by papers focused on Spectroscopy and Chemometric Analyses (23 papers), Spectroscopy Techniques in Biomedical and Chemical Research (11 papers) and Smart Agriculture and AI (9 papers). Zheli Wang collaborates with scholars based in China. Zheli Wang's co-authors include Shuxiang Fan, Jiangbo Li, Wenqian Huang, Xi Tian, Wei Luo, Chi Zhang, Baishao Zhan, Xuhai Yang, Lianjie Li and Ting An and has published in prestigious journals such as Food Chemistry, IEEE Access and Frontiers in Plant Science.

In The Last Decade

Zheli Wang

23 papers receiving 684 citations

Peers

Zheli Wang
Baishao Zhan China
Xiuqin Rao China
Guantao Xuan China
Sófacles Figueredo Carreiro Soares Brazil
L. Lleó Spain
Xinjie Yu China
Aiguo Ouyang China
Fengle Zhu China
Yiying Zhao China
Chyngyz Erkinbaev Canada
Baishao Zhan China
Zheli Wang
Citations per year, relative to Zheli Wang Zheli Wang (= 1×) peers Baishao Zhan

Countries citing papers authored by Zheli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zheli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheli Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zheli Wang. A scholar is included among the top collaborators of Zheli 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 Zheli Wang. Zheli 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.
Wang, Zheli, et al.. (2025). Development of a rapid detection method for maize seed purity using a modular high-throughput near-infrared non-destructive testing system. Infrared Physics & Technology. 148. 105836–105836. 2 indexed citations
2.
Wang, Zheli, Wenqian Huang, Qingyan Wang, et al.. (2025). Efficient wheat variety identification using Raman hyperspectral imaging in combination with deep learning. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 344(Pt 2). 126722–126722.
3.
An, Ting, Long Yuan, Qingyan Wang, et al.. (2025). An interpretable nondestructive detection model for maize seed viability: Based on grouped hyperspectral image fusion and key biochemical indicators. Computers and Electronics in Agriculture. 239. 111036–111036.
4.
An, Ting, Xi Tian, Qingyan Wang, et al.. (2024). Green analytical assay for the viability assessment of single maize seeds using double-threshold strategy for catalase activity and malondialdehyde content. Food Chemistry. 455. 139889–139889. 5 indexed citations
5.
Wang, Zheli, Shuxiang Fan, Ting An, et al.. (2024). Detection of Insect-Damaged Maize Seed Using Hyperspectral Imaging and Hybrid 1D-CNN-BiLSTM Model. Infrared Physics & Technology. 137. 105208–105208. 25 indexed citations
6.
Wang, Zheli, Jiangbo Li, Chi Zhang, & Shuxiang Fan. (2023). Development of a General Prediction Model of Moisture Content in Maize Seeds Based on LW-NIR Hyperspectral Imaging. Agriculture. 13(2). 359–359. 12 indexed citations
7.
An, Ting, Qingyan Wang, Guang Yang, et al.. (2023). Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network. Frontiers in Plant Science. 14. 1248598–1248598. 15 indexed citations
8.
An, Ting, Chongshan Yang, Zheli Wang, et al.. (2023). Evaluation of the Black Tea Taste Quality during Fermentation Process Using Image and Spectral Fusion Features. Fermentation. 9(10). 896–896. 7 indexed citations
9.
Wang, Zheli, Ting An, Wenchao Wang, et al.. (2023). Qualitative and quantitative detection of aflatoxins B1 in maize kernels with fluorescence hyperspectral imaging based on the combination method of boosting and stacking. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 296. 122679–122679. 20 indexed citations
10.
An, Ting, Zheli Wang, Guanglin Li, et al.. (2023). Monitoring the major taste components during black tea fermentation using multielement fusion information in decision level. Food Chemistry X. 18. 100718–100718. 14 indexed citations
11.
12.
Wang, Zheli, et al.. (2023). Assessment of protein content and insect infestation of maize seeds based on on-line near-infrared spectroscopy and machine learning. Computers and Electronics in Agriculture. 211. 107969–107969. 39 indexed citations
13.
Wang, Zheli, Wenqian Huang, Xi Tian, et al.. (2022). Rapid and Non-destructive Classification of New and Aged Maize Seeds Using Hyperspectral Image and Chemometric Methods. Frontiers in Plant Science. 13. 36 indexed citations
14.
Zhang, Yifei, et al.. (2022). Online analysis of watercore apples by considering different speeds and orientations based on Vis/NIR full-transmittance spectroscopy. Infrared Physics & Technology. 122. 104090–104090. 21 indexed citations
15.
Li, Lianjie, et al.. (2021). Calibration transfer between developed portable Vis/NIR devices for detection of soluble solids contents in apple. Postharvest Biology and Technology. 183. 111720–111720. 48 indexed citations
16.
Wang, Zheli, Shuxiang Fan, Jingzhu Wu, et al.. (2021). Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 254. 119666–119666. 75 indexed citations
17.
Li, Jiangbo, Ruoyu Zhang, Jingbin Li, et al.. (2019). Detection of early decayed oranges based on multispectral principal component image combining both bi-dimensional empirical mode decomposition and watershed segmentation method. Postharvest Biology and Technology. 158. 110986–110986. 46 indexed citations
18.
Tian, Xi, Shuxiang Fan, Wenqian Huang, Zheli Wang, & Jiangbo Li. (2019). Detection of early decay on citrus using hyperspectral transmittance imaging technology coupled with principal component analysis and improved watershed segmentation algorithms. Postharvest Biology and Technology. 161. 111071–111071. 62 indexed citations
19.
Li, Jiangbo, et al.. (2019). Determination of SSC in pears by establishing the multi-cultivar models based on visible-NIR spectroscopy. Infrared Physics & Technology. 102. 103066–103066. 57 indexed citations
20.
Li, Jiangbo, Wei Luo, Zheli Wang, & Shuxiang Fan. (2018). Early detection of decay on apples using hyperspectral reflectance imaging combining both principal component analysis and improved watershed segmentation method. Postharvest Biology and Technology. 149. 235–246. 104 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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