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Xinglei Wang

Biographic Data

ID5021670
NAMEXinglei Wang
GIVEN NAMESXinglei
FAMILY NAMEWang
SIGNATUREWANG X
AFFILIATIONSUniversity College London
ORCID0000-0002-9894-5971
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Effect of exercise intervention on quality of life and exercise capacity in patients with atrial fibrillation

    Open Access•Yaya Xi, Yinxue Zhang et al.•ARTICLE•Frontiers in Public Health•2025

  • Multi-modal contrastive learning of urban space representations from POI data

    Open Access•Xinglei Wang, Tao Cheng et al.•ARTICLE•Computers Environment and Urban…•2025•References: 25

    Understanding and characterising urban environment is crucial for urban planning and geospatial analysis. One common approach to this process is through using point of interest (POI) data, which offers rich information about the spatial-semantic characteristics of urban spaces. Existing methods for learning urban space representations from POIs face several limitations, including reliance on predefined spatial units, ignorance of POI location inf…

  • Spatial Distributions and Intrinsic Influence Analysis of Cr, Ni, Cu, Zn, As, Cd and Pb in Sediments from the Wuliangsuhai Wetland, China

    Open Access•Huilan Zhang, Piaopiao Liang et al.•ARTICLE•International Journal of…•2022

    The spatial distributions of Cr, Ni, Cu, Zn, As, Cd and Pb (potentially toxic elements, PTEs) in sediments and intrinsic influence factors from the Wuliangsuhai wetland of the Hetao Irrigation District, China were studied in this work. The results showed that excluding Zn, the total contents of other PTEs were higher than the background values, of which As (39.26 mg·kg -1 ) and Cd (0.44 mg·kg -1 ) were six-fold and seven-fold higher, respectively…

No prominent works on this page.

  • Spatial Distributions and Intrinsic Influence Analysis of Cr, Ni, Cu, Zn, As, Cd and Pb in Sediments from the Wuliangsuhai Wetland, China

    Open Access•Huilan Zhang, Piaopiao Liang et al.•ARTICLE•International Journal of…•2022

    The spatial distributions of Cr, Ni, Cu, Zn, As, Cd and Pb (potentially toxic elements, PTEs) in sediments and intrinsic influence factors from the Wuliangsuhai wetland of the Hetao Irrigation District, China were studied in this work. The results showed that excluding Zn, the total contents of other PTEs were higher than the background values, of which As (39.26 mg·kg -1 ) and Cd (0.44 mg·kg -1 ) were six-fold and seven-fold higher, respectively…

  • Effect of exercise intervention on quality of life and exercise capacity in patients with atrial fibrillation

    Open Access•Yaya Xi, Yinxue Zhang et al.•ARTICLE•Frontiers in Public Health•2025

  • Multi-modal contrastive learning of urban space representations from POI data

    Open Access•Xinglei Wang, Tao Cheng et al.•ARTICLE•Computers Environment and Urban…•2025•References: 25

    Understanding and characterising urban environment is crucial for urban planning and geospatial analysis. One common approach to this process is through using point of interest (POI) data, which offers rich information about the spatial-semantic characteristics of urban spaces. Existing methods for learning urban space representations from POIs face several limitations, including reliance on predefined spatial units, ignorance of POI location inf…

Artificial Intelligence (1 work) · Bioavailability (1 work) · Biology (1 work) · Cadmium (1 work) · Cartography (1 work) · Chemistry (1 work) · Computer Science (1 work) · Contamination (1 work) · Contrastive analysis (1 work) · Ecology (1 work)

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