Author

Ruoxuan Li

Observed name: Li, Ruoxuan

Institution: Yale University

Observed institution: Yale University

OpenAlex ID: A5123027899

An Analytical Comparison of Latent Growth Curve, Cross-Lagged Panel, and Latent Difference Score Modeling for Longitudinal Mediation Analysis

2026 · Ruoxuan Li, Lijuan Wang · Figshare

Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol

2026 · Yingxiang Huang, Yuxuan Li, et al. · Systematic Reviews

Additional file 4 of Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol

2026 · Huang, Yingxiang, Li, Yuxuan, et al. · Figshare

Additional file 5 of Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol

2026 · Huang, Yingxiang, Li, Yuxuan, et al. · Figshare

Additional file 6 of Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol

2026 · Huang, Yingxiang, Li, Yuxuan, et al. · Figshare

Additional file 2 of Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol

2026 · Huang, Yingxiang, Li, Yuxuan, et al. · Figshare

Additional file 1 of Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol

2026 · Huang, Yingxiang, Li, Yuxuan, et al. · Figshare

Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol

2026 · Huang, Yingxiang, Li, Yuxuan, et al. · Figshare

Additional file 3 of Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol

2026 · Huang, Yingxiang, Li, Yuxuan, et al. · Figshare

Works count: 9

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