Yilong Wu
Biographic Data
| ID | 8833265 |
|---|---|
| NAME | Yilong Wu |
| GIVEN NAMES | Yilong |
| FAMILY NAME | Wu |
| SIGNATURE | WU Y |
| AFFILIATIONS | Curtin University |
| ORCID | 0009-0008-0497-6904 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The long-term avoided recurrences and recurrence-related cost of alectinib for postoperative adjuvant therapy in Chinese patients with early-stage ALK-positive non-small cell lung cancer
Aims: Alectinib was approved by the US, Europe and China in 2024 as the first adjuvant targeted therapy for ALK+ NSCLC, lowering risk of disease recurrence or death by 76%. Alectinib addresses a critical gap in postoperative adjuvant therapy for ALK+ NSCLC. From Chinese healthcare-system perspective, this study evaluates the impact of introducing alectinib in adjuvant therapy for stage IB (tumor ≥ 4 cm) to IIIA (UICC/AJCC 7th edition) ALK+ NSCLC …
Focal‐Feature Regression Kriging
Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables. A common solution is trend surface modeling (e.g., Regression Kriging, RK), which relies on external explanatory variables to model the trend and then applies geosta…
Explainable second-dimension spatial association between park sentiment and built-social environments
Understanding human–environment interactions is crucial for sustainable urban development and well-being. Urban parks are key urban environments affecting residential emotions. However, existing studies with fixed neighborhood ranges and mean-based indicators limit the examination of nonlinear effects across spatial scales and value ranges. This study develops an explainable second dimension of spatial association (ESDA) model to identify spatial…
Impact of impervious surface spatial morphologies on urban waterlogging
A Spatial Information Extraction Method Based on Multi-Modal Social Media Data
With the proliferation and development of social media platforms, social media data have become an important source for acquiring spatiotemporal information on various urban events. Providing accurate spatiotemporal information for events contributes to enhancing the capabilities of urban management and emergency responses. However, existing research regarding mining spatiotemporal information of events often solely focuses on textual content and…
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A Spatial Information Extraction Method Based on Multi-Modal Social Media Data
With the proliferation and development of social media platforms, social media data have become an important source for acquiring spatiotemporal information on various urban events. Providing accurate spatiotemporal information for events contributes to enhancing the capabilities of urban management and emergency responses. However, existing research regarding mining spatiotemporal information of events often solely focuses on textual content and…
Impact of impervious surface spatial morphologies on urban waterlogging
The long-term avoided recurrences and recurrence-related cost of alectinib for postoperative adjuvant therapy in Chinese patients with early-stage ALK-positive non-small cell lung cancer
Aims: Alectinib was approved by the US, Europe and China in 2024 as the first adjuvant targeted therapy for ALK+ NSCLC, lowering risk of disease recurrence or death by 76%. Alectinib addresses a critical gap in postoperative adjuvant therapy for ALK+ NSCLC. From Chinese healthcare-system perspective, this study evaluates the impact of introducing alectinib in adjuvant therapy for stage IB (tumor ≥ 4 cm) to IIIA (UICC/AJCC 7th edition) ALK+ NSCLC …
Focal‐Feature Regression Kriging
Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables. A common solution is trend surface modeling (e.g., Regression Kriging, RK), which relies on external explanatory variables to model the trend and then applies geosta…
Explainable second-dimension spatial association between park sentiment and built-social environments
Understanding human–environment interactions is crucial for sustainable urban development and well-being. Urban parks are key urban environments affecting residential emotions. However, existing studies with fixed neighborhood ranges and mean-based indicators limit the examination of nonlinear effects across spatial scales and value ranges. This study develops an explainable second dimension of spatial association (ESDA) model to identify spatial…
Spatial analysis (2 works) · Adjuvant (1 work) · Adjuvant therapy (1 work) · Alectinib (1 work) · Association (psychology) (1 work) · Computer Science (1 work) · Data association (1 work) · Data extraction (1 work) · Data mining (1 work) · Data science (1 work)