Explaining factors influencing students' depression with a deep learning approach

GLNet can serve as a reliable tool for enhancing student mental health. It also provides valuable insights for educators to identify students at risk of depression, contributing to the optimization of student mental health intervention strategies.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2026-01-29
DOI
https://doi.org/10.3389/fpsyg.2025.1684274
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Explaining factors influencing students' depression with a deep learning approach

Huohong Chen, Yunyi Hu, Feng Gong, Xinyu Li et al.
Frontiers in Psychology
Mental Health via Writing
article

Explaining factors influencing students' depression with a deep learning approach

Huohong Chen, Yunyi Hu, Feng Gong, Xinyu Li, Xingxing Wang
article en

Abstract

GLNet can serve as a reliable tool for enhancing student mental health. It also provides valuable insights for educators to identify students at risk of depression, contributing to the optimization of student mental health intervention strategies.

Frontiers in PsychologyVol. 16
Central South University (CN), Hunan Normal University (CN), Renmin University of China (CN)
Openalex Percentile: Top 78%
Mental Health via Writing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.