Lin Geng Foo

423 total citations
13 papers, 175 citations indexed

About

Lin Geng Foo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Lin Geng Foo has authored 13 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 1 paper in General Health Professions. Recurrent topics in Lin Geng Foo's work include Human Pose and Action Recognition (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Neural Network Applications (5 papers). Lin Geng Foo is often cited by papers focused on Human Pose and Action Recognition (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Neural Network Applications (5 papers). Lin Geng Foo collaborates with scholars based in Singapore, United Kingdom and Australia. Lin Geng Foo's co-authors include Jun Liu, Hossein Rahmani, Qiuhong Ke, Jia Gong, Zhipeng Fan, Tianjiao Li, Hossein Rahmani, Yixuan He, Yanchao Li and Zehuan Yuan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys and IEEE Transactions on Multimedia.

In The Last Decade

Lin Geng Foo

13 papers receiving 173 citations

Peers

Lin Geng Foo
Comparison fields: 5 of 32
  • Computer Vision and Pattern Recognition 146
  • Artificial Intelligence 61
  • Biomedical Engineering 54
  • Human-Computer Interaction 35
  • Computational Mechanics 21
Replace Runyang Feng with:
Runyang Feng China
Sina Honari Switzerland
Jiaxiang Tang China
Wending Yan Singapore
Nazlı İkizler Türkiye
Émilie Dexter France
Wendong Zhang China
Umer Rafi Germany
Yangheng Zhao China
Shengju Qian Hong Kong
Runyang Feng China View profile →
Citations per field, relative to Lin Geng Foo
Lin Geng Foo · 1×
Citations per year, relative to Lin Geng Foo
Lin Geng Foo · 1×

Countries citing papers authored by Lin Geng Foo

Since Specialization
Citations

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

Fields of papers citing papers by Lin Geng Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Geng Foo. 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 Lin Geng Foo. The network helps show where Lin Geng Foo may publish in the future.

Co-authorship network of co-authors of Lin Geng Foo

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Geng Foo. A scholar is included among the top collaborators of Lin Geng Foo 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 Lin Geng Foo. Lin Geng Foo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 2
2 3
3 21
4 4
5 4
6 1
7 4
8 9
9 30
10 3
11 16
12 75
13 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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