Ailing Tan

498 citations
24 papers · 365 · h-index 10

Impact in

Papers in

Ailing Tan

22 papers receiving 358 citations

Peers

Ailing Tan
Comparison fields: 5 of 79
  • Biophysics 83
  • Analytical Chemistry 98
  • Electronic, Optical and Magnetic Materials 101
  • Industrial and Manufacturing Engineering 32
  • Biomedical Engineering 158
Replace Rakesh Mohan Sharma with:
Rakesh Mohan Sharma India
Benjamin Charron Canada
Liang Shang China
Kimie Awa Japan
Stephan Freitag Austria
Deleon Nascimento Correa Brazil
Boyan Li China
Juanjuan Fu China
Ailing Tan relative to Rakesh Mohan Sharma India Rakesh Mohan Sharma's profile →
Citations per field
00.5×4.6×
Rakesh Mohan Sharma · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Ailing Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ailing Tan Line = papers co-authored together Ailing Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201979
2 201976
3 201949
4 201944
5 202315
6 202215
7 202313
8 201912
9 202210
10 202310
11 20239
12 20237
13 20185
14 20215
15 20254
16
[Quantitative analysis model of multi-component complex oil spill source based on near infrared spectroscopy].
20124
17 20173
18 20171
19 20161
20 20191

About Ailing Tan

Ailing Tan is a scholar working on Biomedical Engineering, Analytical Chemistry, Biophysics, Molecular Biology and Industrial and Manufacturing Engineering, having authored 24 papers that have together received 365 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Advanced Chemical Sensor Technologies (7 papers), Water Quality Monitoring and Analysis (6 papers), Biosensors and Analytical Detection (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Identification and Quantification in Food (3 papers) and Thermography and Photoacoustic Techniques (2 papers). The work is most often cited by research in Biophysics (83 citations), Analytical Chemistry (98 citations), Electronic, Optical and Magnetic Materials (101 citations), Industrial and Manufacturing Engineering (32 citations) and Biomedical Engineering (158 citations). Ailing Tan has collaborated with scholars based in China and United States. Frequent 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. Their work appears in journals such as The Visual Computer, Sensors and Actuators B Chemical, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Chemometrics and Intelligent Laboratory Systems and Journal of Food Composition and Analysis.

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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