Xinjun Hu

5.3k total citations
127 papers, 2.1k citations indexed

About

Xinjun Hu is a scholar working on Analytical Chemistry, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Xinjun Hu has authored 127 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Analytical Chemistry, 32 papers in Molecular Biology and 31 papers in Biomedical Engineering. Recurrent topics in Xinjun Hu's work include Spectroscopy and Chemometric Analyses (36 papers), Advanced Chemical Sensor Technologies (14 papers) and Antibiotic Resistance in Bacteria (11 papers). Xinjun Hu is often cited by papers focused on Spectroscopy and Chemometric Analyses (36 papers), Advanced Chemical Sensor Technologies (14 papers) and Antibiotic Resistance in Bacteria (11 papers). Xinjun Hu collaborates with scholars based in China, United States and United Kingdom. Xinjun Hu's co-authors include Jianping Tian, Dan Huang, Huibo Luo, Yongxiao Bai, Xinna Jiang, Haoping Huang, Songbo Chen, Huqiang Chen, Longxian Lv and Lanjuan Li and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Chemical Communications.

In The Last Decade

Xinjun Hu

120 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinjun Hu China	25	503	472	438	270	225	127	2.1k
Hsiu‐O Ho Taiwan	36	212 0.4×	681 1.4×	651 1.5×	377 1.4×	291 1.3×	120	3.8k
Majella E. Lane United Kingdom	41	125 0.2×	274 0.6×	811 1.9×	832 3.1×	207 0.9×	157	6.3k
Giovanni Filippo Palmieri Italy	37	230 0.5×	545 1.2×	838 1.9×	833 3.1×	589 2.6×	239	5.4k
Marco Cespi Italy	37	139 0.3×	490 1.0×	615 1.4×	1.0k 3.8×	357 1.6×	133	3.9k
Linda M. Harvey United Kingdom	35	561 1.1×	767 1.6×	2.1k 4.8×	430 1.6×	103 0.5×	85	4.0k
Sarvesh Rustagi India	31	96 0.2×	696 1.5×	655 1.5×	410 1.5×	539 2.4×	363	3.2k
Giulia Bonacucina Italy	37	115 0.2×	490 1.0×	715 1.6×	1.1k 4.2×	401 1.8×	147	4.5k
Francesco Cilurzo Italy	34	129 0.3×	599 1.3×	612 1.4×	420 1.6×	190 0.8×	152	4.1k
Suyan Wang China	28	53 0.1×	222 0.5×	702 1.6×	204 0.8×	236 1.0×	151	2.6k
Fanbin Kong United States	44	187 0.4×	519 1.1×	814 1.9×	2.5k 9.3×	415 1.8×	143	5.6k

Countries citing papers authored by Xinjun Hu

Since Specialization

Citations

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

Fields of papers citing papers by Xinjun Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinjun Hu

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

He, Kangling, et al.. (2025). Detection of the amylose and amylopectin contents of rice by hyperspectral imaging combined with a CNN-AdaBoost model. Journal of Food Composition and Analysis. 142. 107468–107468. 3 indexed citations

Tian, Jianping, et al.. (2025). Predicting the composition of aroma components in Baijiu using hyperspectral imaging combined with a replication allocation strategy-enhanced stacked ensemble learning model. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 341. 126398–126398. 1 indexed citations

Xia, Yuanyuan, et al.. (2025). Rapid multi-task detection of rice components using convolutional bidirectional long short-term fusion network combined with hyperspectral imaging. Food Control. 181. 111701–111701. 1 indexed citations

Chen, Man, et al.. (2024). Hyperspectral imaging combined with convolutional neural network for Pu'er ripe tea origin recognition. Journal of Food Composition and Analysis. 139. 107093–107093. 4 indexed citations

Hu, Xinjun, et al.. (2024). Investigation of liquor microstructure (ethanol-water clusters): Molecular dynamics simulation and density functional theory. Journal of Molecular Graphics and Modelling. 133. 108864–108864. 2 indexed citations

Hu, Xinjun, et al.. (2024). Elucidating the mechanism of ball milling on surface reconstruction of arsenopyrite: XPS property and theoretical studies. Minerals Engineering. 219. 109077–109077. 2 indexed citations

Hu, Xinjun, Lei Yu, Jianping Tian, et al.. (2024). Rapid detection of total and ammonium nitrogen in pit mud by hyperspectral imaging combined with PSO-LSSVM. Infrared Physics & Technology. 139. 105298–105298. 2 indexed citations

Hu, Xinjun, et al.. (2024). Rapid sorghum variety identification by hyperspectral imaging combined with super-depth-of-field microscopy. Journal of Food Composition and Analysis. 137. 106930–106930. 1 indexed citations

He, Kangling, Jianping Tian, Xinjun Hu, et al.. (2024). Rapid and Non-Destructive Determination of the Protein and Fat Contents in Wheat by Hyperspectral Imaging Combined with AdaBoost-SVR Modeling. Journal of the American Society of Brewing Chemists. 82(4). 335–348. 5 indexed citations

10.

Liang, Yan, Jianping Tian, Xinjun Hu, et al.. (2024). Rapid determination of starch and alcohol contents in fermented grains by hyperspectral imaging combined with data fusion techniques. Journal of Food Science. 89(6). 3540–3553. 4 indexed citations

11.

Zhang, Jiahong, Lei Yu, Xinjun Hu, et al.. (2023). The rapid detection of the tannin content of grains based on hyperspectral imaging technology and chemometrics. Journal of Food Composition and Analysis. 123. 105604–105604. 14 indexed citations

12.

Tian, Jianping, Kangling He, Yan Liang, et al.. (2023). Hyperspectral imaging combined with dual-channel deep learning feature fusion model for fast and non-destructive recognition of brew wheat varieties. Journal of Food Composition and Analysis. 125. 105785–105785. 13 indexed citations

13.

Xue, Fei, Kangling He, Jianping Tian, et al.. (2023). The rapid determination of the fatty acid content of rice by combining hyperspectral imaging and integrated learning models. Vibrational Spectroscopy. 129. 103609–103609. 6 indexed citations

14.

Chen, Man, et al.. (2023). Multicomponent hyperspectral grade evaluation of ilmenite using spectral-spatial joint features. Analytical Methods. 15(38). 5050–5062. 3 indexed citations

15.

Tian, Jianping, et al.. (2022). A back‐propagation neural network model using hyperspectral imaging applied to variety nondestructive detection of cereal. Journal of Food Process Engineering. 45(3). 8 indexed citations

16.

Huang, Haoping, Fei Xue, Xinjun Hu, et al.. (2022). Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum. Journal of Food Composition and Analysis. 115. 105018–105018. 18 indexed citations

17.

Sun, Ting, Xinjun Hu, Jianping Tian, et al.. (2022). Combination of Spectral and Spatial Information of Hyperspectral Imaging for the Prediction of the Moisture Content and Visualizing Distribution in Daqu. Journal of the American Society of Brewing Chemists. 81(1). 181–189. 8 indexed citations

18.

Huang, Haoping, Xinjun Hu, Jianping Tian, et al.. (2021). Rapid detection of the reducing sugar and amino acid nitrogen contents of Daqu based on hyperspectral imaging. Journal of Food Composition and Analysis. 101. 103970–103970. 54 indexed citations

19.

Jiang, Xinna, Xinjun Hu, Haoping Huang, et al.. (2021). Detecting total acid content quickly and accurately by combining hyperspectral imaging and an optimized algorithm method. Journal of Food Process Engineering. 44(11). 21 indexed citations

20.

Huang, Haoping, Xinjun Hu, Jianping Tian, Ping Chen, & Dan Huang. (2020). Multigranularity cascade forest algorithm based on hyperspectral imaging to detect moisture content in Daqu. Journal of Food Process Engineering. 44(3). 14 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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