Ling Gao

535 total citations
24 papers, 315 citations indexed

About

Ling Gao is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ling Gao has authored 24 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Analytical Chemistry, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ling Gao's work include Spectroscopy and Chemometric Analyses (9 papers), Water Quality Monitoring and Analysis (5 papers) and Image and Signal Denoising Methods (4 papers). Ling Gao is often cited by papers focused on Spectroscopy and Chemometric Analyses (9 papers), Water Quality Monitoring and Analysis (5 papers) and Image and Signal Denoising Methods (4 papers). Ling Gao collaborates with scholars based in China, United States and Switzerland. Ling Gao's co-authors include Laurent Kneip, Arndt Schimmelmann, Simon C. Brassell, María Mastalerz, Barry J. Katz, Peng Wu, Kun Huang, Daniel Gehrig, Davide Scaramuzza and Marco Cannici and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Electrochimica Acta.

In The Last Decade

Ling Gao

22 papers receiving 307 citations

Peers

Ling Gao
Comparison fields: 5 of 65
  • Analytical Chemistry 88
  • Mechanics of Materials 83
  • Electrical and Electronic Engineering 67
  • Computer Vision and Pattern Recognition 61
  • Aerospace Engineering 56
Replace Fusheng Li with:
Fusheng Li China
Hongfei Xu China
Luning Li China
Cecilia Contreras Germany
Qingzhen Zhang China
Valériu Vrabie France
W.B. Lyons Ireland
Henrik Schulz Germany
Fusheng Li China View profile →
Citations per field, relative to Ling Gao
Ling Gao · 1×
Citations per year, relative to Ling Gao
Ling Gao · 1×

Countries citing papers authored by Ling Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Gao. A scholar is included among the top collaborators of Ling Gao 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 Ling Gao. Ling Gao 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
# Work Indexed citations
1 0
2 5
3 8
4 52
5 7
6 24
7 32
8 34
9
A Novel Diabetic Retinopathy Classification Scheme based on Compact Bilinear Pooling CNN and Gradient Boosted Decision Tree.
2
10 0
11 7
12 9
13 1
14 2
15 10
16 18
17 13
18 10
19 6
20 3

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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