Zhixiang Wu
Biographic Data
| ID | 6850566 |
|---|---|
| NAME | Zhixiang Wu |
| GIVEN NAMES | Zhixiang |
| FAMILY NAME | Wu |
| SIGNATURE | WU Z |
| AFFILIATIONS | Chinese Academy of Tropical Agricultural Sciences |
| ORCID | 0000-0002-7344-8717 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Multiview Graph Contrastive Learning Based on Learnable Graph Augmentation
Graph contrastive learning has recently gained prominence as a key technique in the domain of graph representation learning. Most graph contrastive learning methods generate two graph views by augmenting the input graph and maximizing the consistency of their representations. However, due to a lack of prior knowledge of graph data, existing graph augmentation methods often generate low-quality views, which can destroy the core structural informat…
Big data policy and urban tourism development
The advent of the digital era has prompted leading nations to devise strategic digital plans, seeking an edge in the escalating international rivalry. China’s Big Data policy has garnered significant attention as an exemplar of transitional economies. This research uses urban panel data from China to examine the impact of Big Data policy on urban tourism development. The results indicate that in its initial stages of implementation, Big Data poli…
Personalized and diverse research topic recommendation for scholars
Multifunctional sustainability benefits of rubber agroforestry
Rubber agroforestry systems are widely practiced across Asia, particularly in the tropical regions of China, as a common agricultural approach. While these systems have demonstrated high productivity in some areas, their broader contributions to sustainability have not been fully explored. Additionally, agroforestry is often undervalued due to concerns about labor intensity, time demands, and limited mechanization. This study assesses the sustain…
Spatial variation of soil organic carbon under major rubber planting regions in China
Understanding the dynamic relationships between soil organic carbon (SOC) and stand age are essential to quantify and predict the terrestrial carbon sequestration potential. However, the spatial patterns in the response of rubber plantation SOC to stand age and their driving factors remain unclear. Based on SOC and its components measurement at different soil depths (0–40 cm) in rubber plantations under five different age classes (0–5, 5–10, 10–2…
Soil quality variation and its driving factors within tropical forests on Hainan Island, China
Soil quality is a critically important component of soil within ecosystems, and our understanding of soil quality variation and its driving factors in tropical forests is limited. This study collected soil samples at 0–20 cm depths from two typical tropical forests (tropical rainforest and rubber plantation) on Hainan Island, China's largest tropical island, during dry and rainy seasons. A soil quality index (SQI) using principal component analys…
Sensitivity Analysis of Biome-BGC for Gross Primary Production of a Rubber Plantation Ecosystem
Accurate monitoring of forest carbon flux and its long-term response to meteorological factors is important. To accomplish this task, the model parameters need to be optimized with respect to in situ observations. In the present study, the extended Fourier amplitude sensitivity test (eFAST) method was used to optimize the sensitive ecophysiological parameters of the Biome BioGeochemical Cycles model. The model simulation was integrated from 2010 …
Forest conversion alters the structure and functional processes of tropical forest soil microbial communities
Many studies have been carried‐out on the effects of forest conversion on soil microbial community composition and diversity. However, impacts on soil microbial functions and how diversity changes across scales are poorly understood. To fill the research gap, we used metagenomic sequencing and 16S rRNA and ITS gene sequences to evaluate the microbial composition, diversity, and function of 260 soil samples collected from tropical rainforest and r…
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Forest conversion alters the structure and functional processes of tropical forest soil microbial communities
Many studies have been carried‐out on the effects of forest conversion on soil microbial community composition and diversity. However, impacts on soil microbial functions and how diversity changes across scales are poorly understood. To fill the research gap, we used metagenomic sequencing and 16S rRNA and ITS gene sequences to evaluate the microbial composition, diversity, and function of 260 soil samples collected from tropical rainforest and r…
Sensitivity Analysis of Biome-BGC for Gross Primary Production of a Rubber Plantation Ecosystem
Accurate monitoring of forest carbon flux and its long-term response to meteorological factors is important. To accomplish this task, the model parameters need to be optimized with respect to in situ observations. In the present study, the extended Fourier amplitude sensitivity test (eFAST) method was used to optimize the sensitive ecophysiological parameters of the Biome BioGeochemical Cycles model. The model simulation was integrated from 2010 …
Soil quality variation and its driving factors within tropical forests on Hainan Island, China
Soil quality is a critically important component of soil within ecosystems, and our understanding of soil quality variation and its driving factors in tropical forests is limited. This study collected soil samples at 0–20 cm depths from two typical tropical forests (tropical rainforest and rubber plantation) on Hainan Island, China's largest tropical island, during dry and rainy seasons. A soil quality index (SQI) using principal component analys…
Spatial variation of soil organic carbon under major rubber planting regions in China
Understanding the dynamic relationships between soil organic carbon (SOC) and stand age are essential to quantify and predict the terrestrial carbon sequestration potential. However, the spatial patterns in the response of rubber plantation SOC to stand age and their driving factors remain unclear. Based on SOC and its components measurement at different soil depths (0–40 cm) in rubber plantations under five different age classes (0–5, 5–10, 10–2…
Multiview Graph Contrastive Learning Based on Learnable Graph Augmentation
Graph contrastive learning has recently gained prominence as a key technique in the domain of graph representation learning. Most graph contrastive learning methods generate two graph views by augmenting the input graph and maximizing the consistency of their representations. However, due to a lack of prior knowledge of graph data, existing graph augmentation methods often generate low-quality views, which can destroy the core structural informat…
Big data policy and urban tourism development
The advent of the digital era has prompted leading nations to devise strategic digital plans, seeking an edge in the escalating international rivalry. China’s Big Data policy has garnered significant attention as an exemplar of transitional economies. This research uses urban panel data from China to examine the impact of Big Data policy on urban tourism development. The results indicate that in its initial stages of implementation, Big Data poli…
Personalized and diverse research topic recommendation for scholars
Multifunctional sustainability benefits of rubber agroforestry
Rubber agroforestry systems are widely practiced across Asia, particularly in the tropical regions of China, as a common agricultural approach. While these systems have demonstrated high productivity in some areas, their broader contributions to sustainability have not been fully explored. Additionally, agroforestry is often undervalued due to concerns about labor intensity, time demands, and limited mechanization. This study assesses the sustain…
Ecology (4 works) · Biology (3 works) · Ecosystem (3 works) · Environmental Science (3 works) · Geography (3 works) · Soil Carbon and Nitrogen Dynamics (3 works) · Advanced Graph Neural Networks (2 works) · Conservation, Biodiversity, and Resource Management (2 works) · Geology (2 works) · Graph (2 works)