Xinna Jiang

496 total citations
17 papers, 356 citations indexed

About

Xinna Jiang is a scholar working on Analytical Chemistry, Biochemistry and Food Science. According to data from OpenAlex, Xinna Jiang has authored 17 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Analytical Chemistry, 7 papers in Biochemistry and 6 papers in Food Science. Recurrent topics in Xinna Jiang's work include Spectroscopy and Chemometric Analyses (16 papers), Phytochemicals and Antioxidant Activities (7 papers) and Advanced Chemical Sensor Technologies (5 papers). Xinna Jiang is often cited by papers focused on Spectroscopy and Chemometric Analyses (16 papers), Phytochemicals and Antioxidant Activities (7 papers) and Advanced Chemical Sensor Technologies (5 papers). Xinna Jiang collaborates with scholars based in China. Xinna Jiang's co-authors include Huibo Luo, Xinjun Hu, Jianping Tian, Dan Huang, Haoping Huang, Ting Sun, Yuqing Wei, Quancheng Liu, Yan Lei and Baoqing Zhu and has published in prestigious journals such as Food Chemistry, Food Research International and Journal of the Science of Food and Agriculture.

In The Last Decade

Xinna Jiang

16 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinna Jiang China	11	286	107	95	88	61	17	356
Guoling Wan China	9	271 0.9×	123 1.1×	57 0.6×	59 0.7×	53 0.9×	14	343
Wenkai Che China	7	278 1.0×	97 0.9×	53 0.6×	70 0.8×	113 1.9×	12	351
Naiyun Fan China	9	267 0.9×	123 1.1×	53 0.6×	65 0.7×	57 0.9×	12	343
Fujia Dong China	13	305 1.1×	153 1.4×	56 0.6×	90 1.0×	54 0.9×	28	422
Muhammad Mudassir Arif Chaudhry Canada	11	265 0.9×	109 1.0×	85 0.9×	49 0.6×	137 2.2×	21	378
Chongshan Yang China	11	275 1.0×	178 1.7×	73 0.8×	61 0.7×	37 0.6×	22	373
Jianguo He China	12	460 1.6×	193 1.8×	97 1.0×	97 1.1×	107 1.8×	22	538
Rongguang Zhu China	13	241 0.8×	121 1.1×	75 0.8×	30 0.3×	72 1.2×	41	379
Hanim Zuhrotul Amanah Indonesia	13	273 1.0×	89 0.8×	76 0.8×	88 1.0×	107 1.8×	37	375

Countries citing papers authored by Xinna Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Xinna Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinna Jiang

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Jiang, Xinna, Quancheng Liu, Shuxiang Fan, et al.. (2025). Prediction of multi-task physicochemical indices based on hyperspectral imaging and analysis of the relationship between physicochemical composition and sensory quality of tea. Food Research International. 211. 116455–116455. 5 indexed citations

Jiang, Xinna, et al.. (2025). Fluorescence spectroscopy combined with a multi-task deep learning model for rapeseed oil quality analysis. Journal of Food Composition and Analysis. 146. 107889–107889.

Chen, Yun, Xinna Jiang, Yuqing Wei, et al.. (2025). FEW-YOLO: a lightweight ripe fruit detection algorithm in wolfberry based on improved YOLOv8. Journal of Food Measurement & Characterization. 19(7). 4783–4795. 1 indexed citations

Fan, Shuxiang, et al.. (2024). Development of a predictive model for assessing quality of winter jujube during storage utilizing hyperspectral imaging technology. Journal of Food Process Engineering. 47(8). 6 indexed citations

Jiang, Xinna, et al.. (2024). Hyperspectral imaging combined with spectral-imagery feature fusion convolutional neural network to discriminate different geographical origins of wolfberries. Journal of Food Composition and Analysis. 132. 106259–106259. 18 indexed citations

Jiang, Xinna, et al.. (2024). Evaluation and process monitoring of jujube hot air drying using hyperspectral imaging technology and deep learning for quality parameters. Food Chemistry. 467. 141999–141999. 20 indexed citations

Chen, Yun, et al.. (2024). A hyperspectral imaging technique for rapid non-destructive detection of soluble solid content and firmness of wolfberry. Journal of Food Measurement & Characterization. 18(9). 7927–7941. 7 indexed citations

Liu, Quancheng, Xinna Jiang, Baoqing Zhu, et al.. (2024). Detection of dried jujube from fresh jujube with different variety and maturity after hot air drying based on hyperspectral imaging technology. Journal of Food Composition and Analysis. 133. 106378–106378. 14 indexed citations

Jiang, Xinna, Shuyu Zhou, Jianping Tian, et al.. (2023). Hyperspectral Imaging Technology Combined with the Extreme Gradient Boosting Algorithm (XGBoost) for the Rapid Analysis of the Moisture and Acidity Contents in Fermented Grains. Journal of the American Society of Brewing Chemists. 82(3). 281–293. 6 indexed citations

10.

Jiang, Xinna, Jianping Tian, Xinjun Hu, et al.. (2023). Rapid nondestructive detecting of wheat varieties and mixing ratio by combining hyperspectral imaging and ensemble learning. Food Control. 150. 109740–109740. 31 indexed citations

11.

Xue, Fei, Xinna Jiang, Lei Yu, et al.. (2023). The Rapid Non-Destructive Detection of the Protein and Fat Contents of Sorghum Based on Hyperspectral Imaging. Food Analytical Methods. 16(11-12). 1690–1701. 13 indexed citations

12.

Jiang, Xinna, et al.. (2022). Rapid nondestructive detecting of sorghum varieties based on hyperspectral imaging and convolutional neural network. Journal of the Science of Food and Agriculture. 103(8). 3970–3983. 23 indexed citations

13.

Jiang, Xinna, Jianping Tian, Xinjun Hu, et al.. (2022). Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology. Journal of Food Process Engineering. 45(10). 14 indexed citations

14.

Jiang, Xinna, Jianping Tian, Haoping Huang, et al.. (2022). Nondestructive visualization and quantification of total acid and reducing sugar contents in fermented grains by combining spectral and color data through hyperspectral imaging. Food Chemistry. 386. 132779–132779. 64 indexed citations

15.

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

16.

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

17.

Huang, Haoping, Xinjun Hu, Jianping Tian, et al.. (2021). Rapid and nondestructive prediction of amylose and amylopectin contents in sorghum based on hyperspectral imaging. Food Chemistry. 359. 129954–129954. 59 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.

Explore authors with similar magnitude of impact