Xi Tian

1.3k total citations · 1 hit paper
59 papers, 969 citations indexed

About

Xi Tian is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Xi Tian has authored 59 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Analytical Chemistry, 17 papers in Industrial and Manufacturing Engineering and 17 papers in Biomedical Engineering. Recurrent topics in Xi Tian's work include Spectroscopy and Chemometric Analyses (30 papers), Spectroscopy Techniques in Biomedical and Chemical Research (13 papers) and Advanced Chemical Sensor Technologies (11 papers). Xi Tian is often cited by papers focused on Spectroscopy and Chemometric Analyses (30 papers), Spectroscopy Techniques in Biomedical and Chemical Research (13 papers) and Advanced Chemical Sensor Technologies (11 papers). Xi Tian collaborates with scholars based in China, Hong Kong and United Kingdom. Xi Tian's co-authors include Shuxiang Fan, Jiangbo Li, Wenqian Huang, Zheli Wang, Chi Zhang, Wenqian Huang, Qingyan Wang, Yunhe Zhang, Xin He and Chunjiang Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Applied Microbiology and Biotechnology.

In The Last Decade

Xi Tian

51 papers receiving 946 citations

Hit Papers

On line detection of defective apples using computer visi... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Xi Tian
Jiyu Peng China
Muhua Liu China
P.P. Subedi Australia
Te Ma Japan
Xi Tian
Citations per year, relative to Xi Tian Xi Tian (= 1×) peers Yuanyuan Shao

Countries citing papers authored by Xi Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xi Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Tian. A scholar is included among the top collaborators of Xi Tian 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 Xi Tian. Xi Tian 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.
Lei, Ming, et al.. (2025). Analysis and prediction of combustion characteristics of co-combustion of coal and biomass (straw, sludge and herb residue). Journal of Thermal Analysis and Calorimetry. 150(3). 1741–1755.
2.
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
3.
4.
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.
6.
Tian, Xi, et al.. (2024). Early contamination warning of Aflatoxin B1 in stored maize based on the dynamic change of catalase activity and data fusion of hyperspectral images. Computers and Electronics in Agriculture. 217. 108615–108615. 15 indexed citations
7.
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
8.
Shen, Wei, et al.. (2024). Image augmentation for nondestructive testing in engineering structures based on denoising diffusion probabilistic model. Journal of Building Engineering. 89. 109299–109299. 7 indexed citations
9.
Tian, Xi, Zhao Wang, Zhimin Ren, et al.. (2024). Effect of lowering temperature on the function and interactions of microbial communities in micro pressure swirl reactor under low-carbon source conditions. Journal of Water Process Engineering. 58. 104845–104845. 5 indexed citations
10.
Lei, Ming, et al.. (2024). Investigation of ash fusion characteristics on co-combustion of coal and biomass (straw, sludge, and herb residue) based on experimental and machine learning method. Environmental Science and Pollution Research. 31(6). 8467–8482. 4 indexed citations
11.
Tian, Xi, et al.. (2024). The metabolic strategy of phosphorus-accumulating organisms in response to low temperature in micro pressure swirl reactor. Journal of environmental chemical engineering. 13(1). 115036–115036.
12.
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
13.
Fu, Ying, et al.. (2023). Application of a hybrid-fruit-peel (HFP) coagulant in low carbon source wastewater treatment as an external carbon source. Water Science & Technology. 89(2). 333–346. 1 indexed citations
14.
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
15.
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
16.
Tian, Xi, et al.. (2023). Detection of early bruises on apples using hyperspectral reflectance imaging coupled with optimal wavelengths selection and improved watershed segmentation algorithm. Journal of the Science of Food and Agriculture. 103(13). 6689–6705. 26 indexed citations
17.
Zhang, Chi, Wenqian Huang, Xin He, et al.. (2022). Slight crack identification of cottonseed using air-coupled ultrasound with sound to image encoding. Frontiers in Plant Science. 13. 956636–956636. 9 indexed citations
18.
An, Ting, Wenqian Huang, Guanglin Li, et al.. (2021). Robustness and accuracy evaluation of moisture prediction model for black tea withering process using hyperspectral imaging. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 269. 120791–120791. 25 indexed citations
19.
Zhou, Quan, Wenqian Huang, Dong Liang, & Xi Tian. (2021). Classification of Aflatoxin B1 Concentration of Single Maize Kernel Based on Near-Infrared Hyperspectral Imaging and Feature Selection. Sensors. 21(13). 4257–4257. 14 indexed citations
20.
Bian, Dejun, Dandan Zhou, Mingxin Huo, et al.. (2015). Improving oxygen dissolution and distribution in a bioreactor with enhanced simultaneous COD and nitrogen removal by simply introducing micro-pressure and swirl. Applied Microbiology and Biotechnology. 99(20). 8741–8749. 28 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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