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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Risk-driven composition decoupling analysis for urban flooding prediction in high-density urban areas using Bayesian-Optimized LightGBM
Shiqi Zhou, Dongqing Zhang, Mo Wang, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142286-142286
Closed Access | Times Cited: 18

Showing 18 citing articles:

Multi-stage optimization framework for synergetic grey-green infrastructure in response to long-term climate variability based on shared socio-economic pathways
Shiqi Zhou, Haifeng Diao, Jiahui Wang, et al.
Water Research (2025) Vol. 274, pp. 123091-123091
Closed Access | Times Cited: 5
A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning
Hao Chen, Yang Ni, Xuanhua Song, et al.
Agricultural Water Management (2025) Vol. 308, pp. 109303-109303
Open Access | Times Cited: 3
Machine learning modeling using XGBoost and LightGBM for predicting the minimum ignition temperature of rice husk dust based on the synergistic effect of dispersion pressure and crushed brown rice
Jinglin Zhang, Gang Li, Zhenguo Du, et al.
Powder Technology (2025), pp. 120682-120682
Closed Access | Times Cited: 1
Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China
Shiqi Zhou, Weiyi Jia, Mo Wang, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122330-122330
Closed Access | Times Cited: 7
The effectiveness analysis of traditional and new landscape indexes in indicating flood risk of watersheds from the perspective of source-sink landscapes: A case study of Changsha, China
Lingxuan Zhang, Sheng Jiao, Jie Lü
Ecological Indicators (2025) Vol. 170, pp. 113109-113109
Open Access
Analysis of Flooding Under Extreme Conditions with Factors Interactions Using Hybrid Machine Learning
Yanfen Geng, Xinyu Hu, Xiao Huang, et al.
Water Resources Management (2025)
Closed Access
Unravelling Food Carbon Footprint Heterogeneity in Metropolitan Areas Using Tokyo as a Case Study
S. Nakayama, Wanglin Yan
Sustainable Cities and Society (2025), pp. 106236-106236
Open Access
Heat and mobility: Machine learning perspectives on bike-sharing resilience in Shanghai
Zeyin Chen, Renlu Qiao, Siying Li, et al.
Transportation Research Part D Transport and Environment (2025) Vol. 142, pp. 104692-104692
Closed Access
Impact of 2D and 3D factors on urban flooding: Spatial characteristics and interpretable analysis of drivers
Yongheng Wang, Qingtao Zhang, Jingkun Zhang, et al.
Water Research (2025), pp. 123537-123537
Closed Access
Optimizing nature-based solutions for urban flood risk mitigation: A multi-objective genetic algorithm approach in Gdańsk, Poland
Anahita Azadgar, Artur Gańcza, Sina Razzaghi Asl, et al.
The Science of The Total Environment (2025) Vol. 963, pp. 178303-178303
Open Access
A multiscale physically-based approach to urban flood risk assessment using ABM and multi-source remote sensing data
Xinyi Shu, Chenlei Ye, Zongxue Xu, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105332-105332
Closed Access
Urban Flooding Disaster Risk Assessment Utilizing the MaxEnt Model and Game Theory: A Case Study of Changchun, China
Fanfan Huang, Dan Zhu, Yichen Zhang, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8696-8696
Open Access | Times Cited: 1
Investigating the influence of nonlinear spatial heterogeneity in urban flooding factors using geographic explainable artificial intelligence
Entong Ke, Juchao Zhao, Yaolong Zhao
Journal of Hydrology (2024), pp. 132398-132398
Closed Access | Times Cited: 1
Probabilistic failure assessment of oil and gas gathering pipelines using LightGBM algorithm
Xinhong Li, Yabei Liu, Renren Zhang, et al.
Reliability Engineering & System Safety (2024), pp. 110747-110747
Closed Access | Times Cited: 1
Prediction of non-stationary daily streamflow series based on ensemble learning: a case study of the Wei River Basin, China
Wei Ma, Xiao Zhang, Jiancang Xie, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
Mapping flood risk using a workflow including deep learning and MCDM– Application to southern Iran
Hamid Gholami, Aliakbar Mohammadifar, Shahram Golzari, et al.
Urban Climate (2024) Vol. 59, pp. 102272-102272
Closed Access | Times Cited: 1
A Tropical Cyclone Risk Prediction Framework using Flood Susceptibility and Tree-based Machine Learning Models: County-level Direct Economic Loss Prediction in Guangdong Province
Jian Yang, S. S. Chen, Yanan Tang, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 114, pp. 104955-104955
Closed Access
The Use of Machine Learning Models with Optuna in Disease Prediction
Lee‐Lun Lai, Ying-Lei Lin, Yuhui Liu, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4775-4775
Open Access
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