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Jiaxiang Li

Biographic Data

ID6317236
NAMEJiaxiang Li
GIVEN NAMESJiaxiang
FAMILY NAMELi
SIGNATURELI J
AFFILIATIONSNorthwest A&F University
ORCID0000-0003-0478-1409
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS5
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Mountainous landscapes and tree species diversity enhance ecosystem multifunctionality in an urban green heart area

    Open Access•Wenwen Deng, Jiaxiang Li et al.•ARTICLE•Sustainable Cities and Society•2025

  • GA-Based Multipopulation Synergistic Gene Screening Strategy on Critical Nodes Detection

    Open Access•Shanqing Yu, Jiaxiang Li et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Critical node detection (CND) is commonly used to detect nodes with a high impact on network robustness. It has been widely used in disease propagation, social networks, communications, and other fields. As a nondeterministic polynomial-time (NP)-complete problem, the efficiency of solving CND severely limits the scale of the available network. Fortunately, the evolutionary algorithm (EA) is an effective method to solve this problem. However, alt…

  • An Improved Differential Evolution Framework Using Network Topology Information for Critical Nodes Detection

    Open Access•Shanqing Yu, Yongqi Wang et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Critical nodes detection (CND) focuses on identifying the nodes that significantly impact the network’s robustness and is applied in various fields such as power grids, communication networks, and disease spreading. However, detecting the critical nodes is a challenging nondeterministic polynomial time complete (NP-complete) problem. One possible solution is using the evolutionary algorithm which has a high global search capability. However, the …

  • Work Resumption Rate and Migrant Workers' Income During the Covid-19 Pandemic

    Open Access•Jiaxiang Li, Baoju Chu et al.•ARTICLE•Frontiers in Public Health•2021

    The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of work, after the coronavirus lockdowns, on the migrant workers' income. Using data on population movements of 366 Chinese cities at the daily level from the Baidu Maps-Migration Big Data Platform and …

  • Spatio-temporal variances and risk evaluation of land finance in China at the provincial level from 1998 to 2017

    Open Access•Bangbang Zhang, Jiaxiang Li et al.•ARTICLE•Land Use Policy•2020•Cited by: 5•References: 46

  • Spatio-temporal variances and risk evaluation of land finance in China at the provincial level from 1998 to 2017

    Open Access•Bangbang Zhang, Jiaxiang Li et al.•ARTICLE•Land Use Policy•2020•Cited by: 5•References: 46

  • Spatio-temporal variances and risk evaluation of land finance in China at the provincial level from 1998 to 2017

    Open Access•Bangbang Zhang, Jiaxiang Li et al.•ARTICLE•Land Use Policy•2020•Cited by: 5•References: 46

  • Work Resumption Rate and Migrant Workers' Income During the Covid-19 Pandemic

    Open Access•Jiaxiang Li, Baoju Chu et al.•ARTICLE•Frontiers in Public Health•2021

    The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of work, after the coronavirus lockdowns, on the migrant workers' income. Using data on population movements of 366 Chinese cities at the daily level from the Baidu Maps-Migration Big Data Platform and …

  • An Improved Differential Evolution Framework Using Network Topology Information for Critical Nodes Detection

    Open Access•Shanqing Yu, Yongqi Wang et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Critical nodes detection (CND) focuses on identifying the nodes that significantly impact the network’s robustness and is applied in various fields such as power grids, communication networks, and disease spreading. However, detecting the critical nodes is a challenging nondeterministic polynomial time complete (NP-complete) problem. One possible solution is using the evolutionary algorithm which has a high global search capability. However, the …

  • GA-Based Multipopulation Synergistic Gene Screening Strategy on Critical Nodes Detection

    Open Access•Shanqing Yu, Jiaxiang Li et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Critical node detection (CND) is commonly used to detect nodes with a high impact on network robustness. It has been widely used in disease propagation, social networks, communications, and other fields. As a nondeterministic polynomial-time (NP)-complete problem, the efficiency of solving CND severely limits the scale of the available network. Fortunately, the evolutionary algorithm (EA) is an effective method to solve this problem. However, alt…

  • Mountainous landscapes and tree species diversity enhance ecosystem multifunctionality in an urban green heart area

    Open Access•Wenwen Deng, Jiaxiang Li et al.•ARTICLE•Sustainable Cities and Society•2025

Population (3 works) · Algorithm (2 works) · Bioinformatics and Genomic Networks (2 works) · Biology (2 works) · Business (2 works) · Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Ecology (2 works) · Economic growth (2 works) · Economics (2 works)

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