Xiulin Bai

941 total citations
19 papers, 666 citations indexed

About

Xiulin Bai is a scholar working on Analytical Chemistry, Biomedical Engineering and Plant Science. According to data from OpenAlex, Xiulin Bai has authored 19 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Analytical Chemistry, 8 papers in Biomedical Engineering and 7 papers in Plant Science. Recurrent topics in Xiulin Bai's work include Spectroscopy and Chemometric Analyses (15 papers), Advanced Chemical Sensor Technologies (8 papers) and Smart Agriculture and AI (5 papers). Xiulin Bai is often cited by papers focused on Spectroscopy and Chemometric Analyses (15 papers), Advanced Chemical Sensor Technologies (8 papers) and Smart Agriculture and AI (5 papers). Xiulin Bai collaborates with scholars based in China, United States and Russia. Xiulin Bai's co-authors include Yong He, Qinlin Xiao, Chu Zhang, Lei Zhou, Fei Liu, Na Wu, Pan Gao, Yidan Bao, Xiaoyue Du and Yiying Zhao and has published in prestigious journals such as Molecules, Sensors and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Xiulin Bai

18 papers receiving 657 citations

Peers

Xiulin Bai
Qinlin Xiao China
Mohammad Akbar Faqeerzada South Korea
Collins Wakholi South Korea
Zuzana Hruska United States
Tianying Yan China
Benxue Ma China
Jiyue Gao China
Dapeng Ye China
B. de la Roza-Delgado Spain
Stephen J. Symons Canada
Qinlin Xiao China
Xiulin Bai
Citations per year, relative to Xiulin Bai Xiulin Bai (= 1×) peers Qinlin Xiao

Countries citing papers authored by Xiulin Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiulin Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiulin Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiulin Bai. A scholar is included among the top collaborators of Xiulin Bai 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 Xiulin Bai. Xiulin Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Huang, Zhenyu, Xiulin Bai, Mostafa Gouda, et al.. (2024). Transfer learning for plant disease detection model based on low-altitude UAV remote sensing. Precision Agriculture. 26(1). 3 indexed citations
2.
Zhu, Jiangpeng, Guofeng Yang, Xuping Feng, et al.. (2022). Detecting Wheat Heads from UAV Low-Altitude Remote Sensing Images Using Deep Learning Based on Transformer. Remote Sensing. 14(20). 5141–5141. 32 indexed citations
3.
Bai, Xiulin, Hui Fang, Yong He, et al.. (2022). Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data. Plant Phenomics. 5. 19–19. 18 indexed citations
4.
Bai, Xiulin, Xuping Feng, Jinnuo Zhang, et al.. (2022). Evaluation of rice bacterial blight severity from lab to field with hyperspectral imaging technique. Frontiers in Plant Science. 13. 1037774–1037774. 10 indexed citations
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Bai, Xiulin, et al.. (2022). Time-Series Monitoring of Transgenic Maize Seedlings Phenotyping Exhibiting Glyphosate Tolerance. Processes. 10(11). 2206–2206. 2 indexed citations
7.
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
8.
He, Yong, et al.. (2022). Combination of spectral index and transfer learning strategy for glyphosate-resistant cultivar identification. Frontiers in Plant Science. 13. 973745–973745. 6 indexed citations
9.
Liu, Xiaodan, et al.. (2022). Rapid Identification of Insecticide- and Herbicide-Tolerant Genetically Modified Maize Using Mid-Infrared Spectroscopy. Processes. 11(1). 90–90. 2 indexed citations
10.
Xiao, Qinlin, Xiulin Bai, Chu Zhang, & Yong He. (2021). Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review. Journal of Advanced Research. 35. 215–230. 119 indexed citations
11.
He, Yong, Qinlin Xiao, Xiulin Bai, et al.. (2021). Recent progress of nondestructive techniques for fruits damage inspection: a review. Critical Reviews in Food Science and Nutrition. 62(20). 5476–5494. 66 indexed citations
12.
Bai, Xiulin, Chu Zhang, Qinlin Xiao, Yong He, & Yidan Bao. (2020). Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds. RSC Advances. 10(20). 11707–11715. 32 indexed citations
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Bai, Xiulin, Qinlin Xiao, Lei Zhou, Yu Tang, & Yong He. (2020). Detection of Sulfite Dioxide Residue on the Surface of Fresh-Cut Potato Slices Using Near-Infrared Hyperspectral Imaging System and Portable Near-Infrared Spectrometer. Molecules. 25(7). 1651–1651. 21 indexed citations
16.
Zhang, Chu, Yiying Zhao, Tianying Yan, et al.. (2020). Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning. Infrared Physics & Technology. 111. 103550–103550. 70 indexed citations
17.
He, Yong, Xiulin Bai, Qinlin Xiao, et al.. (2020). Detection of adulteration in food based on nondestructive analysis techniques: a review. Critical Reviews in Food Science and Nutrition. 61(14). 2351–2371. 101 indexed citations
18.
Zhu, Susu, Bingquan Chu, Xiulin Bai, et al.. (2019). Nondestructive Determination and Visualization of Quality Attributes in Fresh and Dry Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging. Applied Sciences. 9(9). 1959–1959. 17 indexed citations
19.
Wu, Na, Chu Zhang, Xiulin Bai, Xiaoyue Du, & Yong He. (2018). Discrimination of Chrysanthemum Varieties Using Hyperspectral Imaging Combined with a Deep Convolutional Neural Network. Molecules. 23(11). 2831–2831. 61 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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