Teoh Teik Toe

540 total citations
70 papers, 250 citations indexed

About

Teoh Teik Toe is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Teoh Teik Toe has authored 70 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Artificial Intelligence. Recurrent topics in Teoh Teik Toe's work include Brain Tumor Detection and Classification (17 papers), COVID-19 diagnosis using AI (14 papers) and AI in cancer detection (9 papers). Teoh Teik Toe is often cited by papers focused on Brain Tumor Detection and Classification (17 papers), COVID-19 diagnosis using AI (14 papers) and AI in cancer detection (9 papers). Teoh Teik Toe collaborates with scholars based in Singapore, China and Australia. Teoh Teik Toe's co-authors include Rong Zheng, Geoffrey I. N. Waterhouse, Shanghai Wei, Fanglei Tong, Xize Chen, Wei Gao, Siu‐Yeung Cho, Pai Chet Ng, Yuval Elovici and Tanupriya Choudhury and has published in prestigious journals such as Journal of The Electrochemical Society, Applied Sciences and Computer Methods and Programs in Biomedicine.

In The Last Decade

Teoh Teik Toe

58 papers receiving 239 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Teoh Teik Toe Singapore 8 59 48 38 38 35 70 250
Nidal Turab Jordan 8 43 0.7× 57 1.2× 43 1.1× 4 0.1× 13 0.4× 42 231
Ziming Zeng China 11 83 1.4× 38 0.8× 4 0.1× 19 0.5× 15 0.4× 63 317
Ruoxi Sun Australia 10 125 2.1× 50 1.0× 15 0.4× 6 0.2× 29 0.8× 44 418
Kamel H. Rahouma Egypt 11 95 1.6× 32 0.7× 3 0.1× 70 1.8× 10 0.3× 43 290
Nikhil Kumar Rajput India 8 46 0.8× 77 1.6× 24 0.6× 13 0.3× 3 0.1× 21 236
Firoz Mahmud Bangladesh 11 84 1.4× 9 0.2× 21 0.6× 14 0.4× 17 0.5× 36 392
Vinit Kumar India 10 60 1.0× 94 2.0× 3 0.1× 15 0.4× 17 0.5× 34 241
Hieu H. Pham Vietnam 11 175 3.0× 12 0.3× 19 0.5× 126 3.3× 4 0.1× 34 380

Countries citing papers authored by Teoh Teik Toe

Since Specialization
Citations

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

Fields of papers citing papers by Teoh Teik Toe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teoh Teik Toe. 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 Teoh Teik Toe. The network helps show where Teoh Teik Toe may publish in the future.

Co-authorship network of co-authors of Teoh Teik Toe

This figure shows the co-authorship network connecting the top 25 collaborators of Teoh Teik Toe. A scholar is included among the top collaborators of Teoh Teik Toe 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 Teoh Teik Toe. Teoh Teik Toe 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
1.
Toe, Teoh Teik, et al.. (2024). Predicting Shot Accuracy in Badminton Using Quiet Eye Metrics and Neural Networks. Applied Sciences. 14(21). 9906–9906. 1 indexed citations
2.
3.
Zhu, Jiaxian, et al.. (2024). An Improved Method for Pneumonia Image Classification Based on CoAtNet. 1052–1056. 1 indexed citations
4.
Liu, Jinzhou, et al.. (2024). Pneumonia Image Classification: Deep Learning and Machine Learning Fusion. 440–447. 1 indexed citations
5.
Toe, Teoh Teik, et al.. (2023). Artificial Intelligence in Business Management. 1 indexed citations
6.
Gao, Bowen, et al.. (2023). UniBriVL: Robust Audio Representation and Generation of Audio Driven Diffusion Models. 1–11. 1 indexed citations
7.
Huang, Wenqi, et al.. (2023). Image Classification of Alzheimer’s Disease Based on ViT-Random Forest Model. 22. 1916–1922. 1 indexed citations
8.
Toe, Teoh Teik. (2023). Convolutional Neural Networks for Medical Applications. SpringerBriefs in computer science. 2 indexed citations
9.
Toe, Teoh Teik, et al.. (2023). Attention-based CNN for CT-Kidney Classification. 1–8. 2 indexed citations
10.
11.
Li, Ting, et al.. (2023). Optimizing Pneumonia Detection Model based on CNVM (CNN-SVM). 16. 133–140.
12.
13.
Zhang, Guotao, et al.. (2023). Pneumonia Detection Method based on Convolutional Neural Network. 716–721.
14.
15.
Toe, Teoh Teik, et al.. (2022). Flower image classification based on improved convolutional neural network. 521. 81–87. 3 indexed citations
16.
Li, Qiming, Weipeng He, Xiaoyuan Zhang, Yaqing Yang, & Teoh Teik Toe. (2022). Comparative study of Transfer Learning and VGGNet based classification of Alzheimer's disease. 88–93. 1 indexed citations
17.
Song, Haoming, et al.. (2022). Underwater Image Enhancement Method Based on Dark Channel Prior and Guided Filtering. 1–7. 3 indexed citations
18.
19.
Toe, Teoh Teik, et al.. (2012). Emotional Advisor to help children with autism in social communication. ResearchOnline at James Cook University (James Cook University). 278–283. 3 indexed citations
20.
Toe, Teoh Teik, et al.. (2010). Real-time road sign recognition. ResearchOnline at James Cook University (James Cook University). 12(4). 2 indexed citations

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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2026