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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:

Interpretable boosting tree ensemble method for multisource building fire loss prediction
Ning Wang, Yan Xu, Sutong Wang
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108587-108587
Closed Access | Times Cited: 20

Showing 20 citing articles:

Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations
Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109045-109045
Closed Access | Times Cited: 38
A building information modeling-based fire emergency evacuation simulation system for large infrastructures
Zhikun Ding, Shengqu Xu, Xiao-Feng Xie, et al.
Reliability Engineering & System Safety (2023) Vol. 244, pp. 109917-109917
Closed Access | Times Cited: 24
A comprehensive study on developing an intelligent framework for identification and quantitative evaluation of the bearing defect size
Anil Kumar, Rajesh Kumar, Hesheng Tang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109768-109768
Closed Access | Times Cited: 23
Multi-source heterogeneous data fusion prediction technique for the utility tunnel fire detection
Bin Sun, Yan Li, Yangyang Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110154-110154
Closed Access | Times Cited: 13
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
Fahad Shahzad, Kaleem Mehmood, Shoaib Ahmad Anees, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access | Times Cited: 1
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
Machine Learning Models Using SHapley Additive exPlanation for Fire Risk Assessment Mode and Effects Analysis of Stadiums
Ying Lu, Xiaopeng Fan, Yi Zhang, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2151-2151
Open Access | Times Cited: 11
Influence of coatings on residual strength of geopolymer concrete columns subjected to fire exposure: An experimental investigation
Balamurali Kanagaraj, N. Anand, Samuvel Raj R, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e02990-e02990
Open Access | Times Cited: 4
A Real-Time Multi-node Structural Response Prediction and Rapid Seismic Resilience Assessment Method
Ying Zhou, Shiqiao Meng, Haoran Xu, et al.
Reliability Engineering & System Safety (2025), pp. 110889-110889
Closed Access
Fitting Maximum Crown Width Height of Chinese fir through Ensemble Learning Combined with Fine Spatial Competition
Zeyu Cui, Huaiqing Zhang, Yang Liu, et al.
Plant Phenomics (2025), pp. 100018-100018
Open Access
Assessing urban fire risk: An ensemble learning approach based on scenarios and cases
Shibo Cui, Ning Wang, eiyao Zhao, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 114, pp. 104941-104941
Closed Access | Times Cited: 2
A framework based on heterogeneous ensemble models for liquid steel temperature prediction in LF refining process
Chao Chen, Nan Wang, Min Chen, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109724-109724
Closed Access | Times Cited: 8
A data-driven emergency plan evaluation method based on improved RIMER
Xiaojie Zhao, Lu-an Dong, Xin Ye, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109472-109472
Closed Access | Times Cited: 4
A novel clustering-based resampling with cost-sensitive boosting method to model and map wildfire susceptibility
Ning Wang, Shiyue Zhao, Sutong Wang
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109742-109742
Closed Access | Times Cited: 3
Development of a Data-Based Machine Learning Model for Classifying and Predicting Property Damage Caused by Fire
Jong‐Ho Lee, Jiuk Shin, Jaewook Lee, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11866-11866
Open Access | Times Cited: 2
Enhancing Regional Resilience Assessment: Integrating Night-Time Light Data and Interpretable Machine Learning to Unveil Nonlinear Dynamics and Threshold Effects
Yuetong Ma, Hui Zeng
(2024)
Closed Access
Estimating Casualties from Urban Fires: A Focus on Building and Urban Environment Information
Yujin Kim, Youngjin Cho, Han Kyul Heo, et al.
Sustainable Cities and Society (2024), pp. 105839-105839
Closed Access
An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making
Yi Feng, Mohammad Zoynul Abedin, Yunqiang Yin, et al.
Annals of Operations Research (2024)
Closed Access
Investigation on Shear Strength of Fiber Reinforced Geopolymer Concrete Exposed to Elevated Temperature
B. Vijaya Prasad, N. Anand, Arumairaj P. D, et al.
(2023)
Closed Access
Analysis of Fire Simulation on Polyurethane Foam Using FDS in a University Meeting Room
Pratomo Setyadi, Dewi Muflihah
Journal of Applied Engineering and Technological Science (JAETS) (2023) Vol. 4, Iss. 2, pp. 644-654
Open Access
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