Ailing Tan

523 citations
25 papers · 394 · h-index 10

Impact in

Papers in

Ailing Tan

24 papers receiving 388 citations

Peers

Ailing Tan
Comparison fields: 5 of 81
  • Biophysics 85
  • Analytical Chemistry 104
  • Electronic, Optical and Magnetic Materials 104
  • Industrial and Manufacturing Engineering 35
  • Biomedical Engineering 165
Replace Rakesh Mohan Sharma with:
Rakesh Mohan Sharma India
Ryan J. Priore United States
Mathieu Boiret France
J. L. Pichardo-Molina Mexico
Muhammad Tahir Germany
Ji-Ping Wei China
Huacai Chen China
Boyan Li China
‪Carlo Bertinetto‬ Netherlands
Ailing Tan relative to Rakesh Mohan Sharma India Rakesh Mohan Sharma's profile →
Citations per field
00.5×3.7×
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 25 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 201978
3 201950
4 201949
5 202218
6 202317
7 202315
8 202313
9 201912
10 202211
11 20239
12 20237
13 20216
14 20255
15 20185
16
[Quantitative analysis model of multi-component complex oil spill source based on near infrared spectroscopy].
20124
17 20173
18 20251
19 20171
20 20251

About Ailing Tan

Ailing Tan is a scholar working on Biomedical Engineering, Analytical Chemistry, Biophysics, Molecular Biology and Industrial and Manufacturing Engineering, having authored 25 papers that have together received 394 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 Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Biophysics (85 citations), Analytical Chemistry (104 citations), Electronic, Optical and Magnetic Materials (104 citations), Industrial and Manufacturing Engineering (35 citations) and Biomedical Engineering (165 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, Ya-Jie Zuo and Bolin Wang. Their work appears in journals such as The Visual Computer, Sensors and Actuators B Chemical, Chemometrics and Intelligent Laboratory Systems, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Food Control.

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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