Sheng Chieh Teoh

Publication Activity (10 Years)

Years Active: 2023-2023
Publications (10 Years): 4

Top Topics

Randomized Controlled Trial

Cross Sectional

Artificial Intelligence

Top Venues

Journal of medical Internet research

This page only lists publications with an associated author ORCID identifier.

Publications

Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, WengOnn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, WengOnn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, WengOnn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, WengOnn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)