Ting An

1.0k total citations
52 papers, 771 citations indexed

About

Ting An is a scholar working on Analytical Chemistry, Plant Science and Biomedical Engineering. According to data from OpenAlex, Ting An has authored 52 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Analytical Chemistry, 16 papers in Plant Science and 16 papers in Biomedical Engineering. Recurrent topics in Ting An's work include Spectroscopy and Chemometric Analyses (27 papers), Advanced Chemical Sensor Technologies (16 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (9 papers). Ting An is often cited by papers focused on Spectroscopy and Chemometric Analyses (27 papers), Advanced Chemical Sensor Technologies (16 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (9 papers). Ting An collaborates with scholars based in China, United States and Poland. Ting An's co-authors include Chunwang Dong, Chongshan Yang, Shuxiang Fan, Xi Tian, Zhongyao Li, Weisong Duan, Zhongyuan Liu, Yansu Guo, Wenqian Huang and Chun Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Brain Research.

In The Last Decade

Ting An

49 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting An China 19 331 195 194 167 144 52 771
Zijuan Zhang China 21 100 0.3× 47 0.2× 352 1.8× 244 1.5× 18 0.1× 67 1.0k
Maria I. Klapa Greece 23 37 0.1× 237 1.2× 961 5.0× 254 1.5× 22 0.2× 45 1.6k
Ning Yu China 16 42 0.1× 115 0.6× 276 1.4× 81 0.5× 56 0.4× 55 728
Wojciech Ambroziak Poland 19 28 0.1× 48 0.2× 359 1.9× 117 0.7× 148 1.0× 41 854
Wen-Shin Lin Taiwan 13 57 0.2× 20 0.1× 130 0.7× 132 0.8× 28 0.2× 28 523
Ya Hu China 14 62 0.2× 39 0.2× 119 0.6× 173 1.0× 10 0.1× 22 542
Jianjun Zhao China 17 58 0.2× 25 0.1× 381 2.0× 243 1.5× 25 0.2× 40 909
Minna Yao China 17 43 0.1× 29 0.1× 253 1.3× 265 1.6× 15 0.1× 34 828

Countries citing papers authored by Ting An

Since Specialization
Citations

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

Fields of papers citing papers by Ting An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting An

This figure shows the co-authorship network connecting the top 25 collaborators of Ting An. A scholar is included among the top collaborators of Ting An 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 Ting An. Ting An 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.
Tan, Jiajia, et al.. (2025). Identification of green pepper (Zanthoxylum armatum) impurities based on visual attention mechanism fused algorithm. Journal of Food Composition and Analysis. 142. 107445–107445. 1 indexed citations
2.
Yang, Xiaolong, et al.. (2025). Modeling light response of effective quantum efficiency of photosystem II for C3 and C4 crops. Frontiers in Plant Science. 16. 1478346–1478346. 3 indexed citations
3.
Xia, Wei, et al.. (2025). Detection of green pepper impurities based on hyperspectral imaging technology. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 338. 126170–126170. 1 indexed citations
4.
Du, Yanhong, Yao Gao, Xinzhe Du, et al.. (2025). Further elucidation of GMPPB as a risk gene for depression through integrative multi-omics analyses. Journal of Affective Disorders. 384. 23–46.
5.
An, Ting, Long Yuan, Qingyan Wang, et al.. (2025). An interpretable nondestructive detection model for maize seed viability: Based on grouped hyperspectral image fusion and key biochemical indicators. Computers and Electronics in Agriculture. 239. 111036–111036.
6.
An, Ting, Xi Tian, Qingyan Wang, et al.. (2024). Green analytical assay for the viability assessment of single maize seeds using double-threshold strategy for catalase activity and malondialdehyde content. Food Chemistry. 455. 139889–139889. 5 indexed citations
7.
Zhang, Jian, Ting An, Chen Ma, et al.. (2024). AFC-ResNet18: A Novel Real-Time Image Semantic Segmentation Network for Orchard Scene Understanding. Journal of the ASABE. 67(2). 493–500. 2 indexed citations
8.
Shi, Jiang, Chongshan Yang, Yang Li, et al.. (2023). Detection of anthocyanin content in fresh Zijuan tea leaves based on hyperspectral imaging. Food Control. 152. 109839–109839. 28 indexed citations
9.
An, Ting, Qingyan Wang, Guang Yang, et al.. (2023). Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network. Frontiers in Plant Science. 14. 1248598–1248598. 15 indexed citations
10.
An, Ting, Chongshan Yang, Zheli Wang, et al.. (2023). Evaluation of the Black Tea Taste Quality during Fermentation Process Using Image and Spectral Fusion Features. Fermentation. 9(10). 896–896. 7 indexed citations
11.
Yang, Chongshan, et al.. (2023). Real-Time Discrimination and Quality Evaluation of Black Tea Fermentation Quality Using a Homemade Simple Machine Vision System. Fermentation. 9(9). 814–814. 2 indexed citations
12.
Wang, Zheli, Ting An, Wenchao Wang, et al.. (2023). Qualitative and quantitative detection of aflatoxins B1 in maize kernels with fluorescence hyperspectral imaging based on the combination method of boosting and stacking. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 296. 122679–122679. 20 indexed citations
13.
Yang, Chongshan, et al.. (2022). Moisture content monitoring in withering leaves during black tea processing based on electronic eye and near infrared spectroscopy. Scientific Reports. 12(1). 20721–20721. 10 indexed citations
14.
Yang, Chongshan, et al.. (2021). A Method for Judging the Fermentation Quality of Congou Based on Hyperspectral. Guangpuxue yu guangpu fenxi. 41(4). 1320. 4 indexed citations
15.
Ye, Zi‐Piao, et al.. (2021). Investigation on CO<sub>2</sub>-response model of stomatal conductance for plants. Chinese Journal of Plant Ecology. 45(4). 420–428. 3 indexed citations
16.
Li, Yong, et al.. (2021). MicroRNA‑1226‑3p has a tumor‑promoting role in osteosarcoma. Oncology Letters. 21(6). 474–474. 5 indexed citations
17.
Ma, Zhigang, Ting An, Xuerui Zhu, et al.. (2017). GR1-like gene expression in Lycium chinense was regulated by cadmium-induced endogenous jasmonic acids accumulation. Plant Cell Reports. 36(9). 1457–1476. 16 indexed citations
18.
An, Ting, Weisong Duan, Zhongyao Li, et al.. (2014). Oxidative Stress and Autophagic Alteration in Brainstem of SOD1-G93A Mouse Model of ALS. Molecular Neurobiology. 49(3). 1435–1448. 51 indexed citations
19.
Zhang, Kunxi, Ting An, Qian Wang, et al.. (2013). Food restriction-induced autophagy modulates degradation of mutant SOD1 in an amyotrophic lateral sclerosis mouse model. Brain Research. 1519. 112–119. 20 indexed citations
20.
Guo, Yansu, Qian Wang, Kunxi Zhang, et al.. (2012). HO-1 induction in motor cortex and intestinal dysfunction in TDP-43 A315T transgenic mice. Brain Research. 1460. 88–95. 53 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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