From surviving to thriving: a process–ecological model of psychological resilience in doctoral students

The process-ecological model frames psychological resilience as a dynamic practice that co-evolves with academic identity formation. We advocate for a fundamental paradigm shift in the doctoral student support system-from individual-level remedial interventions toward the systematic cultivation of an enabling, ecological resilience system.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2026-03-05
DOI
https://doi.org/10.3389/fpsyg.2026.1767701
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From surviving to thriving: a process–ecological model of psychological resilience in doctoral students

Ming Lin Chen, Hang Zhao, Jin Qiang Ma, Cheng Zhang
Frontiers in Psychology
Resilience and Mental Health
article

From surviving to thriving: a process–ecological model of psychological resilience in doctoral students

Ming Lin Chen, Hang Zhao, Jin Qiang Ma, Cheng Zhang
article en

Abstract

The process-ecological model frames psychological resilience as a dynamic practice that co-evolves with academic identity formation. We advocate for a fundamental paradigm shift in the doctoral student support system-from individual-level remedial interventions toward the systematic cultivation of an enabling, ecological resilience system.

Frontiers in PsychologyVol. 17
Anhui Business College (CN), Anhui Normal University (CN)
Anhui Normal University
Openalex Percentile: Top 38%
Resilience and Mental Health
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.