Mengting Gao
Biographic Data
| ID | 8860600 |
|---|---|
| NAME | Mengting Gao |
| GIVEN NAMES | Mengting |
| FAMILY NAME | Gao |
| SIGNATURE | GAO M |
| AFFILIATIONS | Nanjing University |
| ORCID | 0009-0005-5334-4717 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Managing Public Opinions Based on the Self-Confidence-Driven Hegselmann–Krause Model
Public opinion management plays a vital role in both government governance and corporate competition. Opinion dynamics provides a key framework for its study, with the classic Hegselmann–Krause (HK) model using confidence thresholds to define individuals’ opinion exploration and interaction ranges. However, many existing studies treat these thresholds as exogenous, overlooking the influence of internal psychological traits—particularly self-confi…
Automatic Detection for Cropland Destruction and Reclamation in Coal‐Grain Composite Region Using Long‐Term Landsat Imagery
The eastern plains of China are home to numerous “coal‐grain composite regions,” where extensive underground coal mining has led to widespread land subsidence and cropland destruction, profoundly affecting regional ecological environments, agricultural production, and food security. This study proposes an automatic method for detecting cropland destruction and reclamation. The Normalized Difference Vegetation Index (NDVI) derived from long‐term L…
Maximum Utility Consensus with Inequity Aversion in Social Network Group Decision Making
Associations between personal social capital and depressive symptoms
BACKGROUND:: Rapid socioeconomic changes in China present a mental health challenge and also an opportunity to investigate the relationship between social capital and depression. MATERIALS AND METHODS:: Participants (18-45 years old, N = 1,250) were selected using a probability sampling method. The relationship between social capital (measured using the Personal Social Capital Scale) and depression (measured using the Brief Symptom Inventory Depr…
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Associations between personal social capital and depressive symptoms
BACKGROUND:: Rapid socioeconomic changes in China present a mental health challenge and also an opportunity to investigate the relationship between social capital and depression. MATERIALS AND METHODS:: Participants (18-45 years old, N = 1,250) were selected using a probability sampling method. The relationship between social capital (measured using the Personal Social Capital Scale) and depression (measured using the Brief Symptom Inventory Depr…
Maximum Utility Consensus with Inequity Aversion in Social Network Group Decision Making
Managing Public Opinions Based on the Self-Confidence-Driven Hegselmann–Krause Model
Public opinion management plays a vital role in both government governance and corporate competition. Opinion dynamics provides a key framework for its study, with the classic Hegselmann–Krause (HK) model using confidence thresholds to define individuals’ opinion exploration and interaction ranges. However, many existing studies treat these thresholds as exogenous, overlooking the influence of internal psychological traits—particularly self-confi…
Automatic Detection for Cropland Destruction and Reclamation in Coal‐Grain Composite Region Using Long‐Term Landsat Imagery
The eastern plains of China are home to numerous “coal‐grain composite regions,” where extensive underground coal mining has led to widespread land subsidence and cropland destruction, profoundly affecting regional ecological environments, agricultural production, and food security. This study proposes an automatic method for detecting cropland destruction and reclamation. The Normalized Difference Vegetation Index (NDVI) derived from long‐term L…
Economics (2 works) · Game Theory and Applications (2 works) · Geography (2 works) · Psychology (2 works) · Social Psychology (2 works) · Anxiety (1 work) · Archaeology (1 work) · China (1 work) · Clinical Psychology (1 work) · Coal (1 work)