Xiaotong Qi

444 total citations
19 papers, 366 citations indexed

About

Xiaotong Qi is a scholar working on Biomedical Engineering, Analytical Chemistry and Biophysics. According to data from OpenAlex, Xiaotong Qi has authored 19 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 6 papers in Analytical Chemistry and 4 papers in Biophysics. Recurrent topics in Xiaotong Qi's work include Advanced Chemical Sensor Technologies (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). Xiaotong Qi is often cited by papers focused on Advanced Chemical Sensor Technologies (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). Xiaotong Qi collaborates with scholars based in China. Xiaotong Qi's co-authors include Jinbao Jiang, Xiaojun Qiao, 博人高橋, Jun Wu, Ximin Cui, Weichao Li, Dianming Jiang, Guangmei Zhang, Dianming Jiang and Weichao Li and has published in prestigious journals such as PLoS ONE, Food Chemistry and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaotong Qi

19 papers receiving 359 citations

Peers

Xiaotong Qi

BIOPH

Yalei Li China

Yuting Zhai China

Agnese Piovesan Belgium

Jin Hu China

Chenxiao Li China

Marco Hiroshi Naka Brazil

Annie Marc France

Fu Zhang China

Woo-Jae Cho South Korea

Ellen T. A. Dobson United States

Yalei Li China

Xiaotong Qi

138 ×0.8

90 ×0.7

38 ×0.5

BIOPH

28 ×0.4

144 ×3.7

Citations per year, relative to Xiaotong Qi Xiaotong Qi (= 1×) peers Yalei Li

Countries citing papers authored by Xiaotong Qi

Since Specialization

Citations

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

Fields of papers citing papers by Xiaotong Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotong Qi

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

All Works

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19 of 19 papers shown

Qi, Xiaotong, et al.. (2025). A Multistage Semi-Supervised Network for Hyperspectral Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17. 1 indexed citations

Peng, Junhuan, et al.. (2023). High-Resolution Land-Cover Mapping Based on a Cross-Resolution Deep Learning Framework and Available Low-Resolution Labels. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 1839–1856. 2 indexed citations

Zhang, Xiaoxia, Xiaolong Ren, Xiaotong Qi, et al.. (2022). Evolution of the CBL and CIPK gene families in Medicago: genome-wide characterization, pervasive duplication, and expression pattern under salt and drought stress. BMC Plant Biology. 22(1). 512–512. 9 indexed citations

Wang, Yuebin, et al.. (2022). The 10-meter Winter Wheat Mapping in Shandong Province Using Sentinel-2 Data and Coarse Resolution Maps. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 9760–9774. 15 indexed citations

Jiang, Jinbao, et al.. (2020). Using convolution neural network and hyperspectral image to identify moldy peanut kernels. LWT. 132. 109815–109815. 45 indexed citations

Jiang, Jinbao, et al.. (2020). Selecting key wavelengths of hyperspectral imagine for nondestructive classification of moldy peanuts using ensemble classifier. Infrared Physics & Technology. 111. 103518–103518. 37 indexed citations

Jiang, Jinbao, et al.. (2020). An application to analyzing and correcting for the effects of irregular topographies on NIR hyperspectral images to improve identification of moldy peanuts. Journal of Food Engineering. 280. 109915–109915. 23 indexed citations

Qi, Xiaotong, et al.. (2019). Identification of fungi-contaminated peanuts using hyperspectral imaging technology and joint sparse representation model. Journal of Food Science and Technology. 56(7). 3195–3204. 18 indexed citations

Qi, Xiaotong, et al.. (2019). Microstructure and mechanical properties of 316L stainless steel produced by selective laser melting. AIP conference proceedings. 2154. 20019–20019. 7 indexed citations

10.

Qi, Xiaotong, et al.. (2019). Moldy Peanut Kernel Identification Using Wavelet Spectral Features Extracted from Hyperspectral Images. Food Analytical Methods. 13(2). 445–456. 19 indexed citations

11.

Qi, Xiaotong, Baochang Shi, & Zhenhua Chai. (2018). Cole-Hopf Transformation Based Lattice Boltzmann Model for One-dimensional Burgers’ Equation. Communications in Theoretical Physics. 69(3). 329–329. 2 indexed citations

12.

Qi, Xiaotong, et al.. (2018). Effects of wall slip on ZrO2 rheological behavior in micro powder injection molding. Ceramics International. 44(14). 16282–16294. 8 indexed citations

13.

Liu, Lin, et al.. (2017). Effects of size reduction on deformation, microstructure, and surface roughness of micro components for micro metal injection molding. International Journal of Minerals Metallurgy and Materials. 24(9). 1021–1026. 4 indexed citations

14.

Qiao, Xiaojun, et al.. (2016). Utilization of spectral-spatial characteristics in shortwave infrared hyperspectral images to classify and identify fungi-contaminated peanuts. Food Chemistry. 220. 393–399. 60 indexed citations

15.

高橋, 博人, Jidong Li, Xiaotong Qi, et al.. (2014). Bone plate composed of a ternary nano-hydroxyapatite/polyamide 66/glass fiber composite: biomechanical properties and biocompatibility. International Journal of Nanomedicine. 9. 1423–1423. 34 indexed citations

16.

Peng, Xiaohua, Dianming Jiang, Jun Wu, et al.. (2013). In Vitro and In Vivo Evaluations of Nano-Hydroxyapatite/Polyamide 66/Glass Fibre (n-HA/PA66/GF) as a Novel Bioactive Bone Screw. PLoS ONE. 8(7). e68342–e68342. 25 indexed citations

17.

Li, Weichao, et al.. (2013). Lipopolysaccharide preconditioning attenuates apoptotic processes and improves neuropathologic changes after spinal cord injury in rats. International Journal of Neuroscience. 124(8). 585–592. 18 indexed citations

18.

Qi, Xiaotong, Hong Li, 博人高橋, et al.. (2013). Development and characterization of an injectable cement of nano calcium-deficient hydroxyapatite/multi(amino acid) copolymer/calcium sulfate hemihydrate for bone repair. International Journal of Nanomedicine. 8. 4441–4441. 17 indexed citations

19.

Li, Weichao, Dianming Jiang, Ning Hu, et al.. (2012). Lipopolysaccharide preconditioning attenuates neuroapoptosis and improves functional recovery through activation of Nrf2 in traumatic spinal cord injury rats. International Journal of Neuroscience. 123(4). 240–247. 22 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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