Yiying Zhao

1.2k total citations
31 papers, 927 citations indexed

About

Yiying Zhao is a scholar working on Analytical Chemistry, Plant Science and Biophysics. According to data from OpenAlex, Yiying Zhao has authored 31 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Analytical Chemistry, 11 papers in Plant Science and 10 papers in Biophysics. Recurrent topics in Yiying Zhao's work include Spectroscopy and Chemometric Analyses (21 papers), Spectroscopy Techniques in Biomedical and Chemical Research (10 papers) and Smart Agriculture and AI (9 papers). Yiying Zhao is often cited by papers focused on Spectroscopy and Chemometric Analyses (21 papers), Spectroscopy Techniques in Biomedical and Chemical Research (10 papers) and Smart Agriculture and AI (9 papers). Yiying Zhao collaborates with scholars based in China, Ireland and Egypt. Yiying Zhao's co-authors include Chu Zhang, Yong He, Susu Zhu, Zhengjun Qiu, Jian Chen, Fei Liu, Lei Feng, Xuping Feng, Lei Zhou and Yidan Bao and has published in prestigious journals such as Food Chemistry, IEEE Access and Molecules.

In The Last Decade

Yiying Zhao

29 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiying Zhao China	16	684	427	217	197	109	31	927
Susu Zhu China	18	940 1.4×	556 1.3×	302 1.4×	301 1.5×	118 1.1×	26	1.3k
Hanping Mao China	18	604 0.9×	462 1.1×	141 0.6×	247 1.3×	122 1.1×	63	1.1k
D. Lorente Spain	13	845 1.2×	400 0.9×	166 0.8×	362 1.8×	84 0.8×	15	1.2k
Yuanyuan Shao China	20	540 0.8×	489 1.1×	90 0.4×	202 1.0×	113 1.0×	56	1.1k
Wenwen Kong China	21	918 1.3×	514 1.2×	196 0.9×	254 1.3×	183 1.7×	59	1.4k
Xinjie Yu China	14	664 1.0×	288 0.7×	152 0.7×	252 1.3×	91 0.8×	26	875
Laijun Sun China	16	527 0.8×	233 0.5×	158 0.7×	172 0.9×	42 0.4×	68	885
Guantao Xuan China	17	494 0.7×	343 0.8×	85 0.4×	170 0.9×	92 0.8×	36	765
Xi Tian China	18	653 1.0×	382 0.9×	146 0.7×	265 1.3×	56 0.5×	59	969

Countries citing papers authored by Yiying Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Yiying Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiying Zhao

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

Li, Jiaying, Xu Zhu, Yiying Zhao, et al.. (2025). Highly selective recovery of lanthanum and cerium from wastewater by amidoxime-modified biochar. Separation and Purification Technology. 371. 133303–133303. 3 indexed citations

Xiao, Yuxin, Lei Zhou, Yiying Zhao, et al.. (2025). Deep learning-based regression of food quality attributes using near-infrared spectroscopy and hyperspectral imaging: A review. Food Chemistry. 493(Pt 4). 145932–145932. 2 indexed citations

Chen, Jin, et al.. (2025). Classification of rice varieties using hyperspectral imaging with multi-dimensional fusion convolutional neural networks. Journal of Food Composition and Analysis. 148. 108389–108389.

Chen, Jin, et al.. (2025). Application of deep learning for high-throughput phenotyping of seed: a review. Artificial Intelligence Review. 58(3). 8 indexed citations

Gu, Qing, Fudeng Huang, Hao Hu, et al.. (2024). Unmanned aerial vehicle-based assessment of rice leaf chlorophyll content dynamics across genotypes. Computers and Electronics in Agriculture. 221. 108939–108939. 20 indexed citations

Gouda, Mostafa, Yong He, Xiaoli Li, et al.. (2024). Developing fluorescence hyperspectral imaging methods for non-invasive detection of herbicide safeners action mechanism and effectiveness. Plant Physiology and Biochemistry. 218. 109309–109309. 2 indexed citations

Zhao, Yiying, Lei Zhou, Wei Wang, et al.. (2024). Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits. Food Engineering Reviews. 16(3). 470–496. 19 indexed citations

Zhou, Lei, et al.. (2024). A Zero-Shot Deep Learning-Supported Sensing System for Crop Seeds and Berries Phenotyping. IEEE Sensors Journal. 24(24). 42394–42403. 1 indexed citations

Liu, Feng, et al.. (2024). Citrus yield estimation for individual trees integrating pruning intensity and image views. European Journal of Agronomy. 161. 127349–127349. 4 indexed citations

10.

He, Yong, Xiangyu Lǚ, Yiying Zhao, et al.. (2023). 3D-based precise evaluation pipeline for maize ear rot using multi-view stereo reconstruction and point cloud semantic segmentation. Computers and Electronics in Agriculture. 216. 108512–108512. 8 indexed citations

11.

Liu, Fei, Chu Zhang, Wei Wang, et al.. (2023). Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy. Frontiers in Plant Science. 14. 1128300–1128300. 20 indexed citations

12.

Cao, Lihua, Xingyuan Jia, Hong-Juan He, et al.. (2022). Using a System Pharmacology Method to Search for the Potential Targets and Pathways of Yinqiaosan against COVID-19. Journal of Healthcare Engineering. 2022. 1–14. 3 indexed citations

13.

Zhang, Chu, Lei Zhou, Qinlin Xiao, et al.. (2022). End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses. Plant Phenomics. 2022. 9851096–9851096. 29 indexed citations

14.

Gu, Qing, Yiying Zhao, Hongjian Wan, et al.. (2022). Quantitative Extraction and Evaluation of Tomato Fruit Phenotypes Based on Image Recognition. Frontiers in Plant Science. 13. 859290–859290. 17 indexed citations

15.

Wu, Na, Hubiao Jiang, Yidan Bao, et al.. (2020). Practicability investigation of using near-infrared hyperspectral imaging to detect rice kernels infected with rice false smut in different conditions. Sensors and Actuators B Chemical. 308. 127696–127696. 54 indexed citations

16.

Zhang, Chu, Lei Zhou, Yiying Zhao, et al.. (2020). Noise reduction in the spectral domain of hyperspectral images using denoising autoencoder methods. Chemometrics and Intelligent Laboratory Systems. 203. 104063–104063. 62 indexed citations

17.

Feng, Lei, Susu Zhu, Lei Zhou, et al.. (2019). Detection of Subtle Bruises on Winter Jujube Using Hyperspectral Imaging With Pixel-Wise Deep Learning Method. IEEE Access. 7. 64494–64505. 56 indexed citations

18.

Feng, Lei, Junmin Wang, Chu Zhang, et al.. (2019). Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies. Remote Sensing. 11(6). 602–602. 14 indexed citations

19.

Feng, Lei, Susu Zhu, Fu‐Cheng Lin, et al.. (2018). Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks. Sensors. 18(6). 1944–1944. 17 indexed citations

20.

Zhao, Yiying, Chu Zhang, Susu Zhu, et al.. (2018). Non-Destructive and Rapid Variety Discrimination and Visualization of Single Grape Seed Using Near-Infrared Hyperspectral Imaging Technique and Multivariate Analysis. Molecules. 23(6). 1352–1352. 42 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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