Ailing Tan

498 total citations
24 papers, 365 citations indexed

About

Ailing Tan is a scholar working on Biomedical Engineering, Analytical Chemistry and Biophysics. According to data from OpenAlex, Ailing Tan has authored 24 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 10 papers in Analytical Chemistry and 9 papers in Biophysics. Recurrent topics in Ailing Tan's work include Spectroscopy and Chemometric Analyses (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers) and Advanced Chemical Sensor Technologies (7 papers). Ailing Tan is often cited by papers focused on Spectroscopy and Chemometric Analyses (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers) and Advanced Chemical Sensor Technologies (7 papers). Ailing Tan collaborates with scholars based in China and United States. Ailing Tan's co-authors include Alan X. Wang, Kundan Sivashanmugan, Kenneth Squire, Yong Zhao, Gregory L. Rorrer, Yong Zhao, Yunxin Wang, Xiaohang Li, Bolin Wang and Xiaohang Li and has published in prestigious journals such as Sensors and Actuators B Chemical, Talanta and Food Control.

In The Last Decade

Ailing Tan

22 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ailing Tan China 10 158 101 101 98 83 24 365
Stephan Freitag Austria 9 112 0.7× 60 0.6× 34 0.3× 98 1.0× 62 0.7× 21 317
Rakesh Mohan Sharma India 6 75 0.5× 73 0.7× 22 0.2× 92 0.9× 70 0.8× 16 287
Liang Shang China 12 276 1.7× 61 0.6× 34 0.3× 179 1.8× 34 0.4× 22 473
Kay Sowoidnich Germany 13 109 0.7× 108 1.1× 59 0.6× 300 3.1× 289 3.5× 44 480
Benjamin Charron Canada 5 261 1.7× 187 1.9× 179 1.8× 184 1.9× 280 3.4× 7 561
Ben Gardner United States 10 117 0.7× 69 0.7× 21 0.2× 97 1.0× 64 0.8× 20 393
Juanjuan Fu China 8 56 0.4× 43 0.4× 19 0.2× 106 1.1× 121 1.5× 12 357
Stephen V. Hammond United Kingdom 10 116 0.7× 103 1.0× 16 0.2× 357 3.6× 290 3.5× 12 671

Countries citing papers authored by Ailing Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ailing Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ailing Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ailing Tan. A scholar is included among the top collaborators of Ailing Tan 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 Ailing Tan. Ailing Tan 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, Ailing, et al.. (2025). Development of Raman and NIR spectral feature fusion based on MDS-CNN for detection on adulteration of camel milk powder. Journal of Food Composition and Analysis. 146. 107959–107959. 4 indexed citations
2.
Tan, Ailing, et al.. (2025). IFCNN-based fusion of GAF and MTF encoded near-infrared spectral images for quantitative analysis of microplastics. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 348(Pt 2). 127069–127069.
3.
4.
Tan, Ailing, et al.. (2023). 1D-inception-resnet for NIR quantitative analysis and its transferability between different spectrometers. Infrared Physics & Technology. 129. 104559–104559. 15 indexed citations
5.
Tan, Ailing, et al.. (2023). Determination of microplastics by FTIR spectroscopy based on quaternion parallel feature fusion and support vector machine. Chemometrics and Intelligent Laboratory Systems. 243. 105018–105018. 13 indexed citations
6.
Tan, Ailing, et al.. (2023). Near-infrared spectroscopy analysis of compound fertilizer based on GAF and quaternion convolution neural network. Chemometrics and Intelligent Laboratory Systems. 240. 104900–104900. 7 indexed citations
7.
Tan, Ailing, et al.. (2023). Qualitative analysis for microplastics based on GAF coding and IFCNN image fusion enabled FITR spectroscopy method. Infrared Physics & Technology. 133. 104771–104771. 9 indexed citations
8.
Tan, Ailing, Yunxin Wang, Yong Zhao, et al.. (2022). Near infrared spectroscopy quantification based on Bi-LSTM and transfer learning for new scenarios. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 283. 121759–121759. 15 indexed citations
9.
Tan, Ailing, et al.. (2022). Infrared image enhancement algorithm based on detail enhancement guided image filtering. The Visual Computer. 39(12). 6491–6502. 10 indexed citations
10.
Squire, Kenneth, Yong Zhao, Ailing Tan, et al.. (2019). Photonic crystal-enhanced fluorescence imaging immunoassay for cardiovascular disease biomarker screening with machine learning analysis. Sensors and Actuators B Chemical. 290. 118–124. 44 indexed citations
11.
Sivashanmugan, Kundan, Kenneth Squire, Ailing Tan, et al.. (2019). Trace Detection of Tetrahydrocannabinol in Body Fluid via Surface-Enhanced Raman Scattering and Principal Component Analysis. ACS Sensors. 4(4). 1109–1117. 76 indexed citations
12.
Sivashanmugan, Kundan, Kenneth Squire, Ailing Tan, et al.. (2019). Biological Photonic Crystal‐Enhanced Plasmonic Mesocapsules: Approaching Single‐Molecule Optofluidic‐SERS Sensing. Advanced Optical Materials. 7(13). 49 indexed citations
13.
Tan, Ailing, Yong Zhao, Kundan Sivashanmugan, Kenneth Squire, & Alan X. Wang. (2019). Quantitative TLC-SERS detection of histamine in seafood with support vector machine analysis. Food Control. 103. 111–118. 79 indexed citations
14.
Zhao, Yong, et al.. (2019). Quaternion-based parallel feature extraction: Extending the horizon of quantitative analysis using TLC-SERS sensing. Sensors and Actuators B Chemical. 299. 126902–126902. 12 indexed citations
15.
Sivashanmugan, Kundan, Kenneth Squire, Yong Zhao, et al.. (2019). SERS Detection of Trace Level Tetrahydrocannabinol in Body Fluid. Conference on Lasers and Electro-Optics. 88. ATu3K.7–ATu3K.7. 1 indexed citations
16.
Tan, Ailing, et al.. (2018). Design and realization of high resolution optical micro-scanning thermal microscope imaging system. Infrared Physics & Technology. 95. 46–52. 5 indexed citations
17.
Fu, Xinghu, Ailing Tan, Baojun Zhang, Guangwei Fu, & Weihong Bi. (2017). Exploration of multidimensional interactive classroom teaching for CCD principle and application course. 27. 98–98. 1 indexed citations
18.
Tan, Ailing, et al.. (2017). Error correction based on micro-scanning preprocessing for an optical micro-scanning thermal microscope imaging system. Infrared Physics & Technology. 83. 252–258. 3 indexed citations
19.
Tan, Ailing, Yong Zhao, & Siyuan Wang. (2016). Quantitative analysis of multi-component complex oil spills based on the least-squares support vector regression. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1 indexed citations
20.
Tan, Ailing, et al.. (2009). Identification of oil spills by near-infrared spectroscopy (NIR) and support vector machine (SVM). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7511. 75111R–75111R. 1 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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