Lin Geng Foo

540 citations
19 papers · 320 · 2 hit papers · h-index 9

Impact in

Papers in

    • Human Pose and Action Recognition 10
    • Advanced Neural Network Applications 6
    • Advanced Vision and Imaging 3
    • Generative Adversarial Networks and Image Synthesis 2
    • Video Surveillance and Tracking Methods 2
    • Anomaly Detection Techniques and Applications 8
    • Domain Adaptation and Few-Shot Learning 3
    • Adversarial Robustness in Machine Learning 3

Lin Geng Foo

18 papers receiving 315 citations

Lin Geng Foo's Hit Papers

LLMs are Good Sign Language Translators 2024 · 33 citations
330+1+2Years since publication255075100

Peers

Lin Geng Foo
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 242
  • Human-Computer Interaction 54
  • Artificial Intelligence 108
  • Biomedical Engineering 76
  • Computer Graphics and Computer-Aided Design 5
Replace Boya Peng with:
Boya Peng China
Lumin Xu Hong Kong
Fabien Baradel France
Haoxiang Li China
Haoyu Ma United States
Ming Shao United States
Tai-Peng Tian United States
Chaolong Li China
Dogyoon Lee South Korea
Shanon X. Ju United States
Lin Geng Foo relative to Boya Peng China Boya Peng's profile →
Citations per field
00.5×2×4×6×8×9.3×
Boya Peng · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Lin Geng Foo, 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 Lin Geng Foo Line = papers co-authored together Lin Geng Foo links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
DiffPose: Toward More Reliable 3D Pose Estimation
Hit paper breakdown →
2023113
2 202337
3
LLMs are Good Sign Language Translators
Hit paper breakdown →
202433
4 202324
5 202219
6 202512
7 202412
8 202312
9 202212
10 20229
11 20248
12 20238
13 20235
14 20255
15 20235
16 20233
17 20232
18 20251
19 20220

About Lin Geng Foo

Lin Geng Foo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Physical Therapy, Sports Therapy and Rehabilitation, Language and Linguistics and Signal Processing, having authored 19 papers that have together received 320 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (8 papers), Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Vision and Imaging (3 papers), Adversarial Robustness in Machine Learning (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (242 citations), Human-Computer Interaction (54 citations), Artificial Intelligence (108 citations), Biomedical Engineering (76 citations) and Computer Graphics and Computer-Aided Design (5 citations). Lin Geng Foo has collaborated with scholars based in Singapore, United Kingdom and Australia. Frequent co-authors include Jun Liu, Hossein Rahmani, Qiuhong Ke, Jia Gong, Zhipeng Fan, Tianjiao Li, Hossein Rahmani, Yixuan He, Anran Wang and Jinghua Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, ACM Computing Surveys, Lecture notes in computer science and Monash University Research Portal (Monash University).

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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