| Fire risk assessment of subway stations based on combination weighting of game theory and topsis method W Ju, J Wu, Q Kang, J Jiang, Z Xing Sustainability 14 (12), 7275, 2022 | 26 | 2022 |
| A method based on the theories of game and extension cloud for risk assessment of construction safety: A case study considering disaster-inducing factors in the construction … W Ju, J Wu, Q Kang, J Jiang, Z Xing Journal of Building Engineering 62, 105317, 2022 | 16 | 2022 |
| Evaluation of forest fire risk based on multicriteria decision analysis techniques for Changzhou, China W Ju, Z Xing, J Wu, Q Kang International Journal of Disaster Risk Reduction 98, 104082, 2023 | 13 | 2023 |
| Flood risk assessment of subway stations based on projection pursuit model optimized by whale algorithm: A case study of Changzhou, China W Ju, J Wu, H Cao, Q Kang, SSS Ali, Z Xing International Journal of Disaster Risk Reduction 98, 104068, 2023 | 9 | 2023 |
| Visual analysis of international environmental security management research (1997–2021) based on VOSviewer and CiteSpace H Cao, H Ou, W Ju, M Pan, H Xue, F Zhu International Journal of Environmental Research and Public Health 20 (3), 2601, 2023 | 8 | 2023 |
| Safety risk assessment of sustainable construction based on projection pursuit model optimized by multi-intelligent algorithm: a case study of new chemical projects W Ju, Z Xing, M Shinwari Environmental Science and Pollution Research 31 (4), 5989-6009, 2024 | 3 | 2024 |
| Particle Swarm Optimization Based Fire Risk Valuation Model: Shopping-Mall SSA Shah, Z Xing, J Wu, W Ju, MU Raza Open Journal of Safety Science and Technology 12 (4), 108-124, 2022 | 3 | 2022 |
| A comprehensive evaluation model for forest fires based on MCDA and machine learning: A case study of Zhenjiang City, China R Xing, W Ju, H Lu Environment, Development and Sustainability, 1-29, 2024 | 1 | 2024 |
| Comprehensive risk assessment of natural disasters based on machine learning in Changzhou City, China W Ju, Z Xing, J Wu Environment, Development and Sustainability, 1-33, 2024 | | 2024 |
| A novel technology for unraveling the spatial risk of Natech disasters based on machine learning and GIS: a case study from the city of Changzhou, China W Ju, Z Xing Earth Science Informatics, 1-20, 2024 | | 2024 |
