Jingzhu Wu

1.9k total citations · 1 hit paper
40 papers, 1.6k citations indexed

About

Jingzhu Wu is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Jingzhu Wu has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Analytical Chemistry, 16 papers in Industrial and Manufacturing Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Jingzhu Wu's work include Spectroscopy and Chemometric Analyses (32 papers), Water Quality Monitoring and Analysis (16 papers) and Advanced Chemical Sensor Technologies (13 papers). Jingzhu Wu is often cited by papers focused on Spectroscopy and Chemometric Analyses (32 papers), Water Quality Monitoring and Analysis (16 papers) and Advanced Chemical Sensor Technologies (13 papers). Jingzhu Wu collaborates with scholars based in China, United States and Sweden. Jingzhu Wu's co-authors include Rui Li, Longsheng Fu, Qin Zhang, Fangfang Gao, Yongjie Cui, Zhihao Liu, Quansheng Chen, Zhiming Guo, Manoj Karkee and Yaqoob Majeed and has published in prestigious journals such as Scientific Reports, Food Chemistry and IEEE Access.

In The Last Decade

Jingzhu Wu

37 papers receiving 1.5k citations

Hit Papers

Application of consumer RGB-D cameras for fruit detection... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingzhu Wu China 16 740 689 299 167 162 40 1.6k
Baohua Zhang China 23 764 1.0× 683 1.0× 481 1.6× 129 0.8× 133 0.8× 46 1.7k
Susu Zhu China 18 556 0.8× 940 1.4× 301 1.0× 302 1.8× 118 0.7× 26 1.3k
Yuanyuan Shao China 20 489 0.7× 540 0.8× 202 0.7× 90 0.5× 113 0.7× 56 1.1k
Insuck Baek United States 21 535 0.7× 808 1.2× 296 1.0× 216 1.3× 203 1.3× 104 1.4k
Chuanqi Xie China 17 682 0.9× 784 1.1× 242 0.8× 140 0.8× 361 2.2× 38 1.4k
Zhengjun Qiu China 28 852 1.2× 1.2k 1.8× 544 1.8× 284 1.7× 264 1.6× 79 2.3k
Wenwen Kong China 21 514 0.7× 918 1.3× 254 0.8× 196 1.2× 183 1.1× 59 1.4k
D. Lorente Spain 13 400 0.5× 845 1.2× 362 1.2× 166 1.0× 84 0.5× 15 1.2k
Ye Sun China 25 655 0.9× 946 1.4× 408 1.4× 159 1.0× 138 0.9× 67 1.7k
Daniel E. Guyer United States 26 1.1k 1.4× 1.2k 1.7× 390 1.3× 191 1.1× 147 0.9× 63 2.0k

Countries citing papers authored by Jingzhu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jingzhu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingzhu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingzhu Wu. A scholar is included among the top collaborators of Jingzhu Wu 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 Jingzhu Wu. Jingzhu Wu 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.
Wu, Jingzhu, Yi Yang, Xia Tong, et al.. (2024). Research on terahertz image analysis of thin-shell seeds based on semantic segmentation. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 323. 124897–124897.
2.
Wu, Jingzhu, Qian Zhang, Le Yu, et al.. (2024). Maturity detection of single maize seeds based on hyperspectral imaging and transfer learning. Infrared Physics & Technology. 138. 105242–105242. 9 indexed citations
3.
Liu, Nan, et al.. (2024). Research on model transfer strategies based on the fusion of NIR-MIR spectral data. Infrared Physics & Technology. 142. 105545–105545. 6 indexed citations
4.
Liu, Cuiling, et al.. (2023). Discrimination of wheat flour grade based on PSO-SVM of hyperspectral technique. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 302. 123050–123050. 34 indexed citations
5.
Wu, Jingzhu, et al.. (2023). Rapid and nondestructive THz inspection of unsound kernel of sunflower seed based on SMOTE algorithm. Infrared Physics & Technology. 133. 104843–104843. 1 indexed citations
6.
Zhang, Shuaiyang, et al.. (2023). Near-Infrared Spectral Analysis for Assessing Germination Rate of Rapeseed Seeds: An Applied Sciences Approach. Applied Sciences. 13(19). 11001–11001. 2 indexed citations
7.
Li, Jiacong, et al.. (2023). Characterization of ash content in wheat flour using data fusion. Infrared Physics & Technology. 133. 104792–104792. 11 indexed citations
8.
Huang, Wenqian, et al.. (2022). Detection of pears with moldy core using online full-transmittance spectroscopy combined with supervised classifier comparison and variable optimization. Computers and Electronics in Agriculture. 200. 107231–107231. 27 indexed citations
9.
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
10.
Wu, Jingzhu, et al.. (2020). Research on Nondestructive Testing of Corn Seed Vigor Based on THz-TDS Reflection Imaging. Guangpuxue yu guangpu fenxi. 40(9). 2840. 2 indexed citations
11.
Liu, Zhihao, Jingzhu Wu, Longsheng Fu, et al.. (2019). Improved Kiwifruit Detection Using Pre-Trained VGG16 With RGB and NIR Information Fusion. IEEE Access. 8. 2327–2336. 141 indexed citations
12.
Guo, Zhiming, Jingzhu Wu, Feifei Tao, et al.. (2019). Quantitative assessment of zearalenone in maize using multivariate algorithms coupled to Raman spectroscopy. Food Chemistry. 286. 282–288. 117 indexed citations
13.
Liu, Haojie, Minzan Li, Junyi Zhang, et al.. (2019). A novel wavelength selection strategy for chlorophyll prediction by MWPLS and GA. International journal of agricultural and biological engineering. 12(5). 149–155. 9 indexed citations
14.
Ma, Yuhan, et al.. (2018). Assessment of Polysaccharides from Mycelia of genus Ganoderma by Mid-Infrared and Near-Infrared Spectroscopy. Scientific Reports. 8(1). 10–10. 179 indexed citations
15.
Zheng, Tao, Ning Liu, Li Wu, et al.. (2018). Estimation of Chlorophyll Content in Potato Leaves Based on Spectral Red Edge Position. IFAC-PapersOnLine. 51(17). 602–606. 37 indexed citations
16.
Wu, Jingzhu, et al.. (2016). Rapid authentication of adulteration of olive oil by near-infrared spectroscopy using support vector machines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10157. 101570I–101570I. 2 indexed citations
17.
Wu, Shengnan, et al.. (2013). Outlier Sample Analysis on Near Infrared Spectroscopy Determination for Flour Ash. 781–784. 4 indexed citations
18.
Wu, Jingzhu, et al.. (2011). Clustering method of unknown sort samples based on near infrared spectroscopy. Nongye gongcheng xuebao. 2011(8).
19.
Wu, Jingzhu, et al.. (2009). Experimentation of detecting the chlorpyrifos content in solution by near infrared spectroscopy.. Transactions of the Chinese Society of Agricultural Machinery. 40(1). 129–131.
20.
Wu, Jingzhu, Yiming Wang, Xiaochao Zhang, & Yun Xu. (2007). [Study on quality detection of milk powder based on near infrared spectroscopy (NIR)].. PubMed. 27(9). 1735–8. 2 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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