Ziqi Fang
Biographic Data
| ID | 8842745 |
|---|---|
| NAME | Ziqi Fang |
| GIVEN NAMES | Ziqi |
| FAMILY NAME | Fang |
| SIGNATURE | FANG Z |
| AFFILIATIONS | Zhongnan University of Economics and Law |
| ORCID | 0000-0003-4916-1123 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Machine Learning‐Based Drought Stress Mapping Using Landsat and Sentinel‐2 Imagery
Drought poses a significant threat to agricultural productivity, particularly in rice‐growing regions. The use of multi‐source remote sensing satellites to monitor drought stress during the peak rice growing season remains largely unexplored. Therefore, this study employed integrating approaches such as Landsat‐8 and Sentinel‐2 imagery to monitor drought stress during the peak rice growing season (July–September) from 2021 to 2024 in Hunan provin…
Global trends in childhood urinary tract infections, 1990–2021
Background: Urinary tract infections (UTIs) represent a prevalent urological disorder in childhood populations with substantial clinical implications. This study reports global trends from 1990 to 2021 in incident cases, incidence rates, mortality counts, mortality rates, disability-adjusted life years (DALYs), and DALY rates attributable to childhood UTIs. Methods: Utilizing Global Burden of Disease (GBD) 2021 data, we analyzed incidence, mortal…
Effects of an intelligent cues recognition-based multilevel knowledge graphs generation method on students in online learning environments
Online learning has been greatly widespread since the explosion of COVID-19. However, due to the lack of interaction between teachers and students in online courses, it is very difficult for students to focus on course content and complete the learning. Therefore, we developed a novel intelligent multilevel knowledge graph to help students quickly and systematically grasp the framework and key content of video lectures. Specifically, our method i…
Guiding student learning in video lectures
No prominent works on this page.
Effects of an intelligent cues recognition-based multilevel knowledge graphs generation method on students in online learning environments
Online learning has been greatly widespread since the explosion of COVID-19. However, due to the lack of interaction between teachers and students in online courses, it is very difficult for students to focus on course content and complete the learning. Therefore, we developed a novel intelligent multilevel knowledge graph to help students quickly and systematically grasp the framework and key content of video lectures. Specifically, our method i…
Guiding student learning in video lectures
Global trends in childhood urinary tract infections, 1990–2021
Background: Urinary tract infections (UTIs) represent a prevalent urological disorder in childhood populations with substantial clinical implications. This study reports global trends from 1990 to 2021 in incident cases, incidence rates, mortality counts, mortality rates, disability-adjusted life years (DALYs), and DALY rates attributable to childhood UTIs. Methods: Utilizing Global Burden of Disease (GBD) 2021 data, we analyzed incidence, mortal…
Machine Learning‐Based Drought Stress Mapping Using Landsat and Sentinel‐2 Imagery
Drought poses a significant threat to agricultural productivity, particularly in rice‐growing regions. The use of multi‐source remote sensing satellites to monitor drought stress during the peak rice growing season remains largely unexplored. Therefore, this study employed integrating approaches such as Landsat‐8 and Sentinel‐2 imagery to monitor drought stress during the peak rice growing season (July–September) from 2021 to 2024 in Hunan provin…
Computer Science (2 works) · Multimedia (2 works) · Agriculture (1 work) · Artificial Intelligence (1 work) · Bladder and Urothelial Cancer Treatments (1 work) · Cognitive psychology (1 work) · Communication in Education and Healthcare (1 work) · Disadvantaged (1 work) · Drought stress (1 work) · Educational Environments and Student Outcomes (1 work)