Wenqi Shi
Biographic Data
| ID | 7757266 |
|---|---|
| NAME | Wenqi Shi |
| GIVEN NAMES | Wenqi |
| FAMILY NAME | Shi |
| SIGNATURE | SHI W |
| AFFILIATIONS | PLA Information Engineering University |
| ORCID | 0000-0001-8972-7342 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Cpul
Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI
Contribution: This article presents a modularized, implementation-ready problem-based learning (PBL) framework tailored to biomedical artificial intelligence (AI), with safe use of generative AI (GenAI) for knowledge summarization and coding support. A replication package (syllabi, milestones, rubrics, team procedures, and AI-usage templates) accompanies the framework. Background: PBL has significantly impacted biomedical engineering (BME) educat…
Rerandomization and Covariate Adjustment in Split-Plot Designs
Split-plot designs are widely used in agricultural, industrial, social, and biomedical experiments to accommodate hard-to-change factors. Given multiple factors of interest and experimental units that are nested within groups, the design assigns a subset of the factors by a cluster randomization at the group level and assigns the remaining factors by a stratified randomization at the unit level. The randomization mechanism ensures covariate balan…
Epidemiological and sociodemographic transitions in the global burden and risk factors for Alzheimer's disease and other dementias
ADOD poses a significant and escalating challenge to healthcare sustainability, with persistent regional and gender disparities. By learning from successful ADOD management in certain nations, we can proactively reduce health burdens and bridge disparities between countries at various developmental levels
Assessment of secular trends of three major gynecologic cancers burden and attributable risk factors from 1990 to 2019
Global secular trends of attributed mortality for the three GCs and their age, period, and cohort effects may reflect the diagnosis and treatment progress, rapid socioeconomic transitions, concomitant changes in lifestyle and behavioral patterns in different developing regions. Prevention and controllable measures should be carried out according to the epidemic status in different countries, raising awareness of risk factors to reduce future burd…
Where Are WeChat Users
WeChat has earned more than one billion users worldwide. Research on the geolocation of WeChat users can not only discover the location of malicious users but also verify the validity of user privacy protection strategies. However, existing methods are susceptible to WeChat's location confusion strategies, resulting in intolerable geolocating errors. In this article, a WeChat user geolocation method based on user missequence state analysis (MSAG)…
No prominent works on this page.
Where Are WeChat Users
WeChat has earned more than one billion users worldwide. Research on the geolocation of WeChat users can not only discover the location of malicious users but also verify the validity of user privacy protection strategies. However, existing methods are susceptible to WeChat's location confusion strategies, resulting in intolerable geolocating errors. In this article, a WeChat user geolocation method based on user missequence state analysis (MSAG)…
Assessment of secular trends of three major gynecologic cancers burden and attributable risk factors from 1990 to 2019
Global secular trends of attributed mortality for the three GCs and their age, period, and cohort effects may reflect the diagnosis and treatment progress, rapid socioeconomic transitions, concomitant changes in lifestyle and behavioral patterns in different developing regions. Prevention and controllable measures should be carried out according to the epidemic status in different countries, raising awareness of risk factors to reduce future burd…
Rerandomization and Covariate Adjustment in Split-Plot Designs
Split-plot designs are widely used in agricultural, industrial, social, and biomedical experiments to accommodate hard-to-change factors. Given multiple factors of interest and experimental units that are nested within groups, the design assigns a subset of the factors by a cluster randomization at the group level and assigns the remaining factors by a stratified randomization at the unit level. The randomization mechanism ensures covariate balan…
Epidemiological and sociodemographic transitions in the global burden and risk factors for Alzheimer's disease and other dementias
ADOD poses a significant and escalating challenge to healthcare sustainability, with persistent regional and gender disparities. By learning from successful ADOD management in certain nations, we can proactively reduce health burdens and bridge disparities between countries at various developmental levels
Cpul
Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI
Contribution: This article presents a modularized, implementation-ready problem-based learning (PBL) framework tailored to biomedical artificial intelligence (AI), with safe use of generative AI (GenAI) for knowledge summarization and coding support. A replication package (syllabi, milestones, rubrics, team procedures, and AI-usage templates) accompanies the framework. Background: PBL has significantly impacted biomedical engineering (BME) educat…
Computer Science (2 works) · Demography (2 works) · Demography (2 works) · Disease (2 works) · Epidemiology (2 works) · Human Mobility and Location-Based Analysis (2 works) · Medicine (2 works) · Public health (2 works) · Advanced Statistical Methods and Models (1 work) · Artificial Intelligence in Healthcare and Education (1 work)