Jianping Tian

1.0k total citations
51 papers, 750 citations indexed

About

Jianping Tian is a scholar working on Analytical Chemistry, Biomedical Engineering and Biochemistry. According to data from OpenAlex, Jianping Tian has authored 51 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Analytical Chemistry, 17 papers in Biomedical Engineering and 11 papers in Biochemistry. Recurrent topics in Jianping Tian's work include Spectroscopy and Chemometric Analyses (32 papers), Advanced Chemical Sensor Technologies (13 papers) and Phytochemicals and Antioxidant Activities (11 papers). Jianping Tian is often cited by papers focused on Spectroscopy and Chemometric Analyses (32 papers), Advanced Chemical Sensor Technologies (13 papers) and Phytochemicals and Antioxidant Activities (11 papers). Jianping Tian collaborates with scholars based in China, India and United Kingdom. Jianping Tian's co-authors include Xinjun Hu, Dan Huang, Huibo Luo, Xinna Jiang, Haoping Huang, Ping Chen, Ting Sun, Min Zhu, Wenhua Tong and Man Chen and has published in prestigious journals such as Journal of Cleaner Production, Food Chemistry and Construction and Building Materials.

In The Last Decade

Jianping Tian

48 papers receiving 742 citations

Peers

Jianping Tian
Jianping Tian
Citations per year, relative to Jianping Tian Jianping Tian (= 1×) peers Dayang Liu

Countries citing papers authored by Jianping Tian

Since Specialization
Citations

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

Fields of papers citing papers by Jianping Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianping Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Jianping Tian. A scholar is included among the top collaborators of Jianping 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 Jianping Tian. Jianping 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.
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
2.
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
4.
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
5.
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
6.
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
7.
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
8.
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
9.
Tian, Jianping, Xinjun Hu, Fei Xue, et al.. (2024). Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging. Journal of the Science of Food and Agriculture. 104(7). 4145–4156. 14 indexed citations
10.
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
11.
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
12.
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
13.
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
14.
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
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026