Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Predicting effects of built environment on fatal pedestrian accidents at location-specific level: Application of XGBoost and SHAP
Iljoon Chang, Hoontae Park, Eungi Hong, et al.
Accident Analysis & Prevention (2022) Vol. 166, pp. 106545-106545
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost
Selçuk Demir, Emrehan Kutluğ Şahin
Acta Geotechnica (2023) Vol. 18, Iss. 6, pp. 3403-3419
Closed Access | Times Cited: 64
An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility
Mo Wang, Yingxin Li, Haojun Yuan, et al.
Ecological Indicators (2023) Vol. 156, pp. 111137-111137
Open Access | Times Cited: 61
Environmental factors for outdoor jogging in Beijing: Insights from using explainable spatial machine learning and massive trajectory data
Wei Yang, Yingpeng Li, Yong Liu, et al.
Landscape and Urban Planning (2023) Vol. 243, pp. 104969-104969
Closed Access | Times Cited: 56
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: 19
Impacts of building configurations on urban stormwater management at a block scale using XGBoost
Shiqi Zhou, Zhiyu Liu, Mo Wang, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104235-104235
Closed Access | Times Cited: 67
BIM-based solution to enhance the performance of public-private partnership construction projects using copula bayesian network
Siavash Ghorbany, Esmatullah Noorzai, Saied Yousefi
Expert Systems with Applications (2023) Vol. 216, pp. 119501-119501
Closed Access | Times Cited: 31
Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence
Leandro Masello, German Castignani, Barry Sheehan, et al.
Accident Analysis & Prevention (2023) Vol. 184, pp. 106997-106997
Open Access | Times Cited: 25
Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework
Jieling Jin, Helai Huang, Yuan Chen, et al.
Analytic Methods in Accident Research (2023) Vol. 40, pp. 100306-100306
Closed Access | Times Cited: 22
A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability
M.H. Sadeghi, Kayvan Aghabayk, Mohammed Quddus
Accident Analysis & Prevention (2024) Vol. 206, pp. 107696-107696
Closed Access | Times Cited: 8
An interpretable machine learning model for failure pressure prediction of blended hydrogen natural gas pipelines containing a crack-in-dent defect
Guojin Qin, Chao Zhang, Bohong Wang, et al.
Energy (2025), pp. 135401-135401
Closed Access | Times Cited: 1
Prediction of hydrogen uptake of metal organic frameworks using explainable machine learning
Sitaram Meduri, Jalaiah Nandanavanam
Energy and AI (2023) Vol. 12, pp. 100230-100230
Open Access | Times Cited: 21
Critical review on data-driven approaches for learning from accidents: Comparative analysis and future research
Yi Niu, Yunxiao Fan, Xing Ju
Safety Science (2023) Vol. 171, pp. 106381-106381
Closed Access | Times Cited: 19
A high-precision and transparent step-wise diagnostic framework for hot-rolled strip crown
Chengyan Ding, Jie Sun, Xiaojian Li, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 144-157
Closed Access | Times Cited: 18
An interpretable prediction model of illegal running into the opposite lane on curve sections of two-lane rural roads from drivers’ visual perceptions
He Li, Bo Yu, Yuren Chen, et al.
Accident Analysis & Prevention (2023) Vol. 186, pp. 107066-107066
Closed Access | Times Cited: 17
Composition-strength relationship study of ultrahigh performance fiber reinforced concrete (UHPFRC) using an interpretable data-driven approach
D.L. Zou, L. L. Wu, Yifei Hao, et al.
Construction and Building Materials (2023) Vol. 392, pp. 131973-131973
Closed Access | Times Cited: 16
Discharge estimation in compound channels with converging and diverging floodplains using an optimised Gradient Boosting Algorithm
Shashank Shekhar Sandilya, Bhabani Shankar Das, Sébastien Proust, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 5, pp. 1122-1149
Open Access | Times Cited: 7
An explainable AI for green hydrogen production: A deep learning regression model
Rania Ahmed, Sara A. Shehab, Omar M. Elzeki, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1226-1242
Closed Access | Times Cited: 7
Machine learning and SHAP-based susceptibility assessment of storm flood in rapidly urbanizing areas: a case study of Shenzhen, China
Juchao Zhao, Chunbo Zhang, Wang Jin, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Data-driven urban configuration optimization: An XGBoost-based approach for mitigating flood susceptibility and enhancing economic contribution
Haojun Yuan, Mo Wang, Dongqing Zhang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112247-112247
Open Access | Times Cited: 5
Analysis of the Spatial Heterogeneity of Glacier Melting in Tibet Autonomous Region and its Influential Factors Using the K-means and XGBoost-SHAP Algorithms.
Tingting Xu, Aohua Tian, Jay Gao, et al.
Environmental Modelling & Software (2024) Vol. 182, pp. 106194-106194
Closed Access | Times Cited: 5
Identifying the Roadway Infrastructure Factors Affecting Road Accidents Using Interpretable Machine Learning and Data Augmentation
Jong-Hak Lee, Sangyoup Kim, Tae‐Young Heo, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 501-501
Open Access
Spatial heterogeneity effect of built environment on traffic safety using geographically weighted atrous convolutions neural network
Tian Li, Shuqi Liu, Guoqing Fan, et al.
Accident Analysis & Prevention (2025) Vol. 213, pp. 107934-107934
Closed Access
Crash risk prediction and analysis from the perspective of alignment and environment features: A study on an expressway in a hilly area
Pengcheng Qin, Jie He, Zhang Changjian, et al.
Traffic Injury Prevention (2025), pp. 1-11
Closed Access
Modeling and spatial analysis of heavy-duty truck CO2 using travel activities
Zhipeng Peng, Hao Ji, Renteng Yuan, et al.
Journal of Transport Geography (2025) Vol. 124, pp. 104158-104158
Closed Access
Spatial homogeneity-aware transfer learning for urban flow prediction
Yinghui Liu, Guojiang Shen, Yanjie Fu, et al.
Knowledge and Information Systems (2025)
Closed Access
Page 1 - Next Page

Scroll to top